Commercial transaction support program and commercial transaction support device

Abstract

To provide a commercial transaction support program and commercial transaction support device that comprehensively assesses the environmental impact of agricultural activities and helps farmers select appropriate agricultural practices. [Solution] The commercial transaction support program makes the computer of a commercial transaction support device that supports greenhouse gas commercial transactions function as a sales request information acquisition means that acquires sales request information including field information that can identify the location and area of ​​the field and the crops cultivated in the field, and environmental assessment information that indicates the impact on the environment calculated based on farming information regarding the application of fertilizers and compost and the spraying of pesticides used by producers engaged in agricultural activities in the cultivation of crops; a sales request information output means that outputs sales request information to a buyer terminal used by a prospective buyer; a purchase request information receiving means that receives purchase request information from the buyer terminal; and a purchase request information notification means that notifies the purchase request information to a seller terminal used by a prospective seller.

Description

Technical Field

[0001] The present invention relates to a commercial transaction support program and a commercial transaction support device, and particularly to a commercial transaction support program and a commercial transaction support device for supporting commercial transactions based on environmental evaluation information.

Background Art

[0002] Conventionally, due to the increasing awareness of environmental protection, the development of products with a small environmental impact has been promoted. In addition, as a method for appropriately evaluating the environmental impact of products developed in this way, life cycle assessment has become widespread. Life cycle assessment is an assessment method that can evaluate the environmental impact of the entire life cycle from raw material procurement to manufacturing, transportation, and disposal, as is often said, "from the cradle to the grave." Patent Document 1 discloses an environmental impact simulation device that centrally manages products composed of multiple types of raw materials and evaluates the environmental impact of products based on the amount of greenhouse gas emissions generated during the life cycle of the products.

[0003] In addition, towards the realization of a sustainable society, an emission reduction trading market targeting the reduction amount of greenhouse gases in commercial transactions has been formed, and efforts are being made to more effectively reduce greenhouse gases through the activation of transactions. Patent Document 2 discloses an emission trading mediation system that enables the greenhouse gases emitted by each household to be traded in the emission reduction trading market.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0005] The technologies disclosed in Patent Documents 1 and 2 enable the evaluation of greenhouse gas emissions over the entire lifecycle and promote commercial transactions based on these evaluation results, thereby reducing greenhouse gas emissions. However, the following problems have been pointed out. Specifically, the impact of human industrial activities on the environment is not limited to global warming, but extends to a wide range of issues, including biodiversity in ecosystems and eutrophication in water systems such as oceans, lakes, and rivers. Therefore, there was a problem in that simply evaluating the amount of greenhouse gas reduction does not adequately assess the impact of human industrial activities on the environment.

[0006] Furthermore, life cycle assessment is not limited to evaluating the environmental impact of manufacturing industrial products. In recent years, there has been a particular need to properly assess the environmental impact of agricultural activities. Furthermore, for those engaged in agriculture, there was the problem that it was not easy to correctly understand the environmental impact and choose the optimal agricultural activities.

[0007] Therefore, the present invention has been made in view of the above-mentioned problems, and its purpose is to provide a commercial transaction support program and a commercial transaction support device that can comprehensively evaluate the impact of agricultural activities on the environment and support the selection of appropriate agricultural activities after correctly understanding the impact of agricultural activities on the environment. [Means for solving the problem]

[0008] The aforementioned problem is solved by the environmental assessment program of the present invention, which uses a computer for an environmental assessment device that evaluates the impact of agricultural activities on the environment to obtain first assessment information that shows the impact of the standard farming practices on the environment, calculated based on basic cultivation information that can identify the crops to be cultivated and the location and area of ​​the field where the crops are cultivated, and first farming information that shows the standard farming practices that are standard to the field, and first farming information that shows the impact of the standard farming practices on the environment, and the basic cultivation information and recommendations regarding the application of fertilizers, compost, and green manure and the application of pesticides in the field. The system functions as a second farming information acquisition means that acquires second evaluation information that shows the impact of the recommended farming on the environment, calculated based on the second farming information regarding the farming practices, and an environmental evaluation information output means that outputs the second evaluation information in a state comparable to the first evaluation information, wherein the first evaluation information and the second evaluation information include a greenhouse gas index that shows the greenhouse gas emissions associated with farming, a eutrophication index that shows the impact of farming on eutrophication, an ozone depletion index that shows the impact of farming on ozone layer depletion, an acidification index that shows the impact of farming on acidification, and the farming The Urban Air Pollution Index, which shows the impact on urban air pollution; the Photochemical Oxidant Index, which shows the impact of the aforementioned farming on photochemical oxidants; the Hazardous Chemicals (Carcinogenic) Index, which shows the impact of the aforementioned farming on hazardous chemicals (carcinogenic); the Hazardous Chemicals (Chronic) Index, which shows the impact of the aforementioned farming on hazardous chemicals (chronic); the Aquatic Ecotoxicity Index, which shows the impact of the aforementioned farming on aquatic ecotoxicity; the Terrestrial Ecotoxicity Index, which shows the impact of the aforementioned farming on terrestrial ecotoxicity; the Land Use (Maintenance) Index, which shows the impact of the aforementioned farming on land use (maintenance); and the Soil At least one of the following: land use (modification) index, resource consumption index showing the impact of the farming on resource consumption, human health index showing the impact of the farming on human health, social asset index showing the impact of the farming on social assets, biodiversity index showing the impact of the farming on biodiversity, primary production index showing the impact of the farming on primary production, integrated index showing the overall impact of the farming on the environment, water resource consumption index showing the amount of water resource consumption associated with the farming, total nitrogen leaching index showing the amount of total nitrogen leaching associated with the farming, and total phosphorus leaching index showing the amount of total phosphorus leaching associated with the farming,This is resolved by including [this].

[0009] According to the above configuration, the environmental assessment program calculates environmental assessment information showing the impact of farming on the environment based on basic cultivation information and farming information. The environmental assessment information includes greenhouse gas emissions, as well as at least one of numerous environmental assessment items, including eutrophication, biodiversity, and primary production. Furthermore, the environmental assessment information is output in a comparable format, with first assessment information showing the impact of standard farming on the environment and second assessment information showing the impact of recommended farming on the environment. This makes it possible to comprehensively evaluate the impact of agricultural activities on the environment and support the selection of appropriate agricultural activities based on a correct understanding of the impact of agricultural activities on the environment.

[0010] Furthermore, the computer may be further configured to function as an improvement evaluation information calculation means that calculates the difference or ratio between the second evaluation information and the first evaluation information as improvement evaluation information, and the improvement evaluation information calculation means may calculate cumulative improvement evaluation information by accumulating and adding the improvement evaluation information over two or more cultivation periods of the crop. According to the above configuration, the improvement evaluation information obtained from the difference between the second evaluation information and the first evaluation information is accumulated and added over multiple cultivation periods, making it possible to evaluate the impact of farming activities over multiple cultivation periods on the environment from a long-term perspective.

[0011] Furthermore, the computer may function as an improvement evaluation information calculation means that calculates the difference or ratio between the second evaluation information and the first evaluation information as improvement evaluation information, and the environmental evaluation information output means may output the improvement evaluation information together with improvement guidance information obtained based on at least one of the first evaluation information and the second evaluation information. With the above configuration, improvement evaluation information is output together with improvement guidance information, making it possible to support farmers in understanding the status of environmental improvements.

[0012] Furthermore, the environmental evaluation device is equipped with the aforementioned computer, and it is preferable to have the computer execute the above-mentioned environmental evaluation program. According to the above structure, it becomes possible to comprehensively evaluate the impact of agricultural activities on the environment and to support the selection of appropriate agricultural activities based on a correct understanding of their impact on the environment.

[0013] Furthermore, the aforementioned problem is addressed by the commercial transaction support program of the present invention, which supports commercial transactions involving greenhouse gas emissions reductions or greenhouse gas absorption amounts, and the computer of the commercial transaction support device that supports commercial transactions involving greenhouse gas emissions reductions or greenhouse gas absorption amounts, and the location and area of ​​the field. and before Field information that allows identification of the crops cultivated in the recorded field. ,before It is calculated based on farming information regarding the application of fertilizers and compost, and the spraying of pesticides used in the cultivation of the aforementioned crops in the field. ruThe system functions as a sales request information acquisition means that acquires sales request information including environmental assessment information and sales request information that can identify a sales requester in the greenhouse gas trading transaction; a sales request information output means that outputs the sales request information acquired by the sales request information acquisition means to a purchaser terminal used by a purchaser in the greenhouse gas trading transaction; a purchase request information receiving means that receives purchase request information from the purchaser terminal, including sales request identification information that can identify the sales request information and purchaser information that can identify the purchaser; and a purchase request information notification means that notifies the sales request information to the sales request terminal used by the sales requester, wherein the environmental assessment information includes a greenhouse gas index that shows the amount of greenhouse gas emissions associated with farming, a eutrophication index that shows the impact of farming on eutrophication, an ozone depletion index that shows the impact of farming on ozone depletion, an acidification index that shows the impact of farming on acidification, an urban air pollution index that shows the impact of farming on urban air pollution, and an impact of farming on photochemical oxidants. The index includes at least one of the following: the photochemical oxidant index, the hazardous chemical (carcinogenic) index showing the effects of hazardous chemicals (carcinogenic) associated with the aforementioned farming, the hazardous chemical (chronic) index showing the effects of hazardous chemicals (chronic) associated with the aforementioned farming, the aquatic ecotoxicity index showing the effects of aquatic ecotoxicity associated with the aforementioned farming, the terrestrial ecotoxicity index showing the effects of terrestrial ecotoxicity associated with the aforementioned farming, the land use (maintenance) index showing the effects of the aforementioned farming on land use (maintenance), the land use (modification) index showing the effects of the aforementioned farming on land use (modification), the resource consumption index showing the effects of the aforementioned farming on resource consumption, the human health index showing the effects of the aforementioned farming on human health, the social asset index showing the effects of the aforementioned farming on social assets, the biodiversity index showing the effects of the aforementioned farming on biodiversity, the primary production index showing the effects of the aforementioned farming on primary production, the integrated index showing the overall effects of the aforementioned farming on the environment, the water resource consumption index showing the amount of water resource consumption associated with the aforementioned farming, the total nitrogen leaching index showing the amount of total nitrogen leaching associated with the aforementioned farming, and the total phosphorus leaching index showing the amount of total phosphorus leaching associated with the aforementioned farming. The information includes, firstly, a first evaluation information that shows the impact on the environment of farming related to the registered first farming information, calculated based on the field information and first farming information that is pre-registered via an administrator terminal used by the administrator of the environmental evaluation device as farming information regarding the application of fertilizers, compost, and green manure, and the application of pesticides used in the area where the crops are cultivated, and secondly, an environmental evaluation information that shows the impact on the environment of agricultural activities carried out by the producer, calculated based on the field information and second farming information that is different from the first farming information, entered via a producer terminal used by the producer as farming information regarding the application of fertilizers and compost, and the application of pesticides used by the producer in cultivating the crops in the field, and is comparable to the first environmental evaluation information. This will resolve the issue.

[0014] According to the above structure, the commercial transaction support program can support commercial transactions by facilitating the exchange of sales and purchase information, including environmental assessment information that shows the environmental impact of agricultural activities. The environmental assessment information includes greenhouse gas emissions, as well as at least one of numerous environmental assessment items, including eutrophication, biodiversity, and primary production. Therefore, it is possible to comprehensively assess the environmental impact of agricultural activities and support appropriate commercial transactions based on a correct understanding of the environmental impact of agricultural activities.

[0015] Furthermore, the aforementioned commercial transactions should not include the following as subjects of the transaction: the impact of farming on eutrophication, the impact of farming on ozone layer depletion, the impact of farming on acidification, the impact of farming on urban air pollution, the impact of farming on photochemical oxidants, the impact of harmful chemical substances (carcinogenic) associated with farming, the impact of harmful chemical substances (chronic) associated with farming, the impact of farming on aquatic ecotoxicity, the impact of farming on terrestrial ecotoxicity, the impact of farming on land use (maintenance), the impact of farming on land use (modification), the impact of farming on resource consumption, the impact of farming on human health, the impact of farming on social assets, the impact of farming on biodiversity, the impact of farming on primary production, the overall impact of farming on the environment, the amount of water resources consumed associated with farming, the total nitrogen leaching index indicating the total amount of nitrogen leaching associated with farming, and the total amount of phosphorus leaching associated with farming. The above structure makes it possible to support appropriate commercial transactions by taking into account numerous environmental impacts, including eutrophication, primary production, and biodiversity, in addition to greenhouse gas emission reductions that are the subject of commercial transactions, as reference information.

[0016] In addition, the business transaction may include, as an object of the transaction, at least any one of the impact of the farming on eutrophication, the impact of the farming on ozone layer depletion, the impact of the farming on acidification, the impact of the farming on urban air pollution, the impact of the farming on photochemical oxidants, the impact of harmful chemicals (carcinogenic) associated with the farming, the impact of harmful chemicals (chronic) associated with the farming, the impact of aquatic ecological toxicity associated with the farming, the impact of terrestrial ecological toxicity associated with the farming, the impact of the farming on land use (maintenance), the impact of the farming on land use (modification), the impact of the farming on resource consumption, the impact of the farming on human health, the impact of the farming on social assets, the impact of the farming on biodiversity, the impact of the farming on primary production, the overall impact of the farming on the environment, the amount of water resource consumption associated with the farming, the total nitrogen elution index indicating the total amount of nitrogen elution associated with the farming, and the amount of total phosphorus elution associated with the farming. According to the above configuration, the business transaction support program includes, as an object of the business transaction, at least any one of a number of environmental impacts including eutrophication, primary production, and biodiversity caused by agricultural activities, together with the emission amount of greenhouse gases. Therefore, it is possible to realize a wide and flexible business transaction, and it becomes possible to more actively promote the protection of the global environment.

[0017] Further, it is preferable that the business transaction support device including the computer causes the computer to execute the above business transaction support program. According to the above configuration, it is possible to comprehensively evaluate the impact of agricultural activities on the environment, and to support appropriate business transactions based on a correct understanding of the impact of agricultural activities on the environment.

Effect of the Invention

[0018] According to the business transaction support program and the business transaction support device according to the present invention, it is possible to comprehensively evaluate the impact of agricultural activities on the environment, and to support the selection of appropriate agricultural activities based on a correct understanding of the impact of agricultural activities on the environment.

Brief Description of the Drawings

[0019] [Figure 1]This is an overall configuration diagram of an environmental evaluation system according to an embodiment of the present invention. [Figure 2] This is a diagram for explaining the outline of environmental evaluation. [Figure 3] This is a functional configuration diagram of an environmental evaluation server. [Figure 4] This is a diagram showing an example of the data structure of the cultivation basic information TBL. [Figure 5A] This is a diagram showing an example of the data structure of the fertilizer / compost information TBL. [Figure 5B] This is a diagram showing an example of the data structure of the green manure information TBL. [Figure 5C] This is a diagram showing an example of the data structure of the agricultural chemical information TBL. [Figure 5D] This is a diagram showing an example of the data structure of the agricultural machinery information TBL. [Figure 5E] This is a diagram showing an example of the data structure of the plastic material information TBL. [Figure 5F] This is a diagram showing an example of the data structure of the residue incineration information TBL. [Figure 6A] This is a diagram showing an example of the data structure of the fertilizer analysis information DB. [Figure 6B] This is a diagram showing an example of the data structure of the compost analysis information DB. [Figure 6C] This is a diagram showing an example of the data structure of the green manure analysis information DB. [Figure 6D] This is a diagram showing an example of the data structure of the agricultural chemical analysis information DB. [Figure 6E] This is a diagram showing an example of the data structure of the agricultural machinery analysis information DB. [Figure 6F] This is a diagram showing an example of the data structure of the plastic material analysis information DB. [Figure 7] This is a functional configuration diagram of a transaction support server. [Figure 8A] This is a diagram showing an example of the data structure of the registrant information DB. [Figure 8B] This is a diagram showing an example of the data structure of the sales desire information DB. [Figure 9] This is a diagram showing the flow of environmental evaluation processing. [Figure 10] This figure shows an example of the environmental assessment information output screen. [Figure 11] This diagram shows the flow of transaction support processing. [Figure 12] This figure shows an example of the sales request list output screen. [Figure 13] This figure shows an example of a sales request list output screen related to a modified version. [Modes for carrying out the invention]

[0020] Hereinafter, an environmental evaluation system 1 according to one embodiment of the present invention (hereinafter referred to as "this embodiment") will be described with reference to Figures 1 to 13. However, the embodiments described below are merely examples to facilitate understanding of the present invention and do not limit the present invention. In other words, the present invention can be modified and improved without departing from its spirit, and of course, equivalents thereof are included in the present invention.

[0021] The environmental assessment system 1 of this embodiment is used to evaluate the impact of agricultural activities on the environment and to support commercial transactions based on the evaluation results. Here, the impact of agricultural activities on the environment is not limited to greenhouse gas emissions. In other words, the environmental assessment system 1 according to this embodiment aims to conduct a more comprehensive environmental assessment and thereby support those engaged in agricultural activities in making appropriate choices.

[0022] In the following description, "fertilizer" refers to agricultural materials used to nourish crops, which are produced chemically or artificially. Fertilizers include chemical fertilizers and organic fertilizers. Furthermore, in the following explanation, "compost" refers to decomposed organic matter used to improve soil conditions. Compost is a natural product obtained through the decomposition of organic matter. Compost includes compost and animal manure. Furthermore, in the following explanation, "green manure" refers to fresh organic matter that, when incorporated into the soil, increases the number of microorganisms in the soil. Seeds are sown, and the harvested plants are incorporated into the soil as green manure.

[0023] Furthermore, in the following explanation, "organic fertilizer" refers to fertilizer in which the raw material composition ratio of biological resources is 50 percent or more. Organic fertilizer does not include compost or animal manure. Furthermore, in the following explanation, "compost" refers to compost made primarily from waste materials such as food scraps and plant remains like pruned branches, where the manufacturing process and the amount of resources (energy, water, etc.) used during production are clearly documented. Compost does not include animal manure. Furthermore, in the following explanation, "animal manure" refers to compost made primarily from livestock manure such as cow dung, horse manure, pig manure, and chicken manure, and produced by livestock farmers for the purpose of manure treatment.

[0024] Furthermore, in the following explanation, the "greenhouse gas index" is an evaluation index that shows the emissions of greenhouse gases that contribute to global warming. A concrete example of the greenhouse gas index is the CO2 equivalent, which is the total emissions of greenhouse gases including carbon dioxide, methane, and nitrous oxide converted to carbon dioxide equivalents, but it is not limited to this. The greenhouse gas index may also include indicators other than the CO2 equivalent. Furthermore, in the following explanation, the "eutrophication index" is an evaluation index that quantitatively indicates the degree to which the nutrient content in a body of water such as the sea, lakes, and rivers shifts from a state of nutrient sap to a state of nutrient saturation. Eutrophication is evaluated by the phosphate ion equivalent, which is converted into the amount of phosphate ions released from fertilizers used in agricultural activities, but is not limited to this. The eutrophication index may include any index that quantitatively indicates the state of nutrients in a body of water. Furthermore, in the following explanation, the "ozone depletion index" refers to an evaluation index that quantitatively indicates the impact on the stratospheric ozone depletion phenomenon. A concrete example of the ozone depletion index is the well-known index, the Ozone Depletion Potential (ODP), but it is not limited to this. The ozone depletion index may include other indicators besides ODP that quantitatively indicate the ozone depletion phenomenon.

[0025] Furthermore, in the following explanation, the "acidification index" is an evaluation index that quantitatively indicates the degree to which acidifying substances in the atmosphere transition the Earth's surface to an acidic environment. Specific examples of acidifying substances include sulfur oxides, nitrogen oxides, and ammonia. A specific example of the acidification index is the well-known index, Acidification Potential (AP), but it is not limited to this. The acidification index may also include other indicators besides AP that quantitatively show the effects of acidifying substances. Furthermore, in the following explanation, the "urban air pollution index" is an evaluation index that quantitatively shows the impact of emissions of primary pollutants directly emitted from emission sources such as factories and automobiles, and secondary pollutants generated by chemical changes, etc., from primary pollutants diffused in the atmosphere.Specific examples of primary pollutants include nitrogen oxides and sulfur oxides.Specific examples of secondary pollutants include nitrates and sulfates.The urban air pollution index is evaluated by changes in the concentrations of primary and secondary pollutants, but urban air pollution is not limited to this and may include any index that quantitatively shows air pollution in urban areas. Furthermore, in the following explanation, the "photochemical oxidant index" refers to an evaluation index for the amount of photochemical oxidants generated, which are the main components of photochemical smog and affect the human respiratory system. A specific example of the photochemical oxidant index is the well-known photochemical ozone formation coefficient (POCP), but it is not limited to this. The photochemical oxidant index may include other indicators besides POCP that quantitatively show the effects of photochemical oxidants.

[0026] Furthermore, in the following explanation, "hazardous chemical index" refers to an evaluation index that quantitatively shows the effects of chemical substances that may have adverse effects on human health. A concrete example of a hazardous chemical index is the Human Toxicity Potential (HTP), a well-known evaluation index, but it is not limited to this. Hazardous chemical indexes include the hazardous chemical (carcinogenicity) index, which is an evaluation index for the effects of carcinogenic chemicals, and the hazardous chemical (chronic) index, which is an evaluation index for the effects of chronic oral inhalation of chemical substances. Furthermore, in the following explanation, "ecotoxicity index" refers to an evaluation index that quantitatively shows the impact of the discharge of harmful substances on ecosystems (for example, changes in population size or changes in ecosystem balance). A concrete example of an ecotoxicity index is the well-known evaluation index, Eco Toxicity Potential (ETP), but it is not limited to this. Ecotoxicity indices include aquatic ecotoxicity indices for aquatic ecosystems and terrestrial ecotoxicity indices for terrestrial ecosystems.

[0027] Furthermore, in the following explanation, "land use index" refers to an evaluation index that quantitatively shows the destruction and loss of nature associated with artificial land development. The land use index includes a land use (modification) index related to the alteration of the land surface and a land use (maintenance) index related to the maintenance of unnatural conditions. Land use (modification) is evaluated based on the area of ​​altered land, and land use (maintenance) is evaluated based on the occupied area and occupied time of the land, but is not limited to these. Furthermore, in the following explanation, "resource consumption index" refers to an evaluation index related to resource consumption. The resource consumption index includes the fossil fuel consumption index, which relates to the amount of fossil fuels consumed, and the mineral resource consumption index, which relates to the amount of mineral resources consumed, but does not include the water resource consumption index, which relates to the amount of water resources consumed. The resource consumption index is evaluated based on, but is not limited to, the amount of heat generated by the consumption of resources or the recoverable reserves.

[0028] Furthermore, in the following explanation, "human health index" refers to an evaluation index that quantitatively shows damage or impact to human health. A concrete example of a human health index is the known evaluation index, Disability-Adjusted Life Year (DALY), but it is not limited to this. The human health index may also include other evaluation indices besides DALY, such as Years of Life Lost (YOLL) and Quality-Adjusted Life Year (QALY). Furthermore, in the following explanation, the "social wealth index" refers to an index that comprehensively quantifies the scale of damage to fossil fuels, mineral resources, forest resources, fishery resources, and agricultural resources, which are protected resources. While monetary damage can be cited as a concrete example of the social wealth index, it is not limited to this. The social wealth index may also include the amount of energy lost due to the damage. Furthermore, in the following explanation, "biodiversity index" refers to an evaluation index that quantitatively indicates the diversity of biological species. A concrete example of a biodiversity index is EINES (Expected Increase Number of Extinct Species), a well-known statistical index that indicates the extinction risk of biological species, but it is not limited to this. A biodiversity index may also include indicators other than EINES that quantitatively indicate the diversity of ecosystems.

[0029] Furthermore, in the following explanation, "primary production index" refers to an evaluation index that quantitatively indicates the scale of photosynthesis performed by plants. Primary production is evaluated by the dry weight of organic matter (carbohydrates) produced by plants from carbon dioxide in the air through photosynthesis, but is not limited to this. The primary production index may include any index that quantitatively indicates the scale of photosynthesis performed by plants. Furthermore, in the following explanation, the "integration index" refers to an evaluation index that comprehensively quantifies the impact on the environment. The integration index is obtained by a sum-of-products operation that applies integration coefficients indicating the importance of each of the aforementioned human health index, social wealth index, biodiversity index, and primary production index, but is not limited to this.

[0030] Furthermore, in the following explanation, "water resource consumption" refers to a calculated value indicating the amount of water resources consumed, and is an estimated value calculated based on actual agricultural activities. Furthermore, in the following explanation, "total nitrogen leaching" refers to a calculated value that indicates the scale of nitrogen infiltration into the soil layer, and is an estimated value calculated based on actual agricultural activities. Furthermore, in the following explanation, "total phosphorus leaching" refers to a calculated value indicating the scale of phosphorus infiltration into the soil layer, and is an estimated value calculated based on actual agricultural activities.

[0031] Furthermore, in the following explanation, "agricultural machinery" refers to machines, devices, and equipment used in agricultural activities that operate using energy sources such as electricity and fuel. Furthermore, in the following explanation, "agricultural activity" includes activities aimed at cultivating crops (for example, planting, sowing, fertilizing, harvesting, mowing, threshing, transporting, and moving), and "farming" refers to continuously engaging in agricultural activities over one or more cultivation periods.

[0032] <Overview of Environmental Assessment System 1> Figure 1 shows the overall configuration of the environmental assessment system 1. As shown in Figure 1, the environmental assessment system 1 mainly consists of an environmental assessment server 10, a transaction support server 20, a producer terminal 30, a buyer terminal 40, and an administrator terminal 50, which are interconnected via a publicly available telecommunications line NW. In Figure 1, one producer terminal 30, one buyer terminal 40, and one administrator terminal 50 are shown, but these represent one or more producer terminals 30, buyer terminals 40, and administrator terminals 50. Of course, multiple producer terminals 30, buyer terminals 40, and administrator terminals 50 may be connected via a telecommunications line (NW).

[0033] The environmental assessment server 10 is an information processing server that evaluates the impact of agricultural activities on the environment, and is used to conduct environmental assessments covering the entire lifecycle of crop cultivation. An overview of the environmental assessment performed by the environmental assessment server 10 will be described later, referring to Figure 2. The environmental assessment server 10 is an information processing device managed and operated by a national government, local government, research institution, company, or organization working towards the realization of a sustainable society.

[0034] Figure 2 is a diagram illustrating the overview of the environmental assessment. As shown in Figure 2, the environmental assessment server 10 first acquires basic cultivation information and farming information. Basic cultivation information refers to fundamental information about the cultivation of agricultural products, including information on the area of ​​the farmland (field) where the crops are grown, the location of the farmland, the crops grown, and the growing season.

[0035] Farming information refers to information about agricultural materials used in agricultural activities, such as fertilizers, compost, green manure, pesticides, agricultural water, and agricultural machinery. The environmental assessment server 10 acquires farming information necessary to conduct an environmental assessment of the entire lifecycle of crop cultivation. The environmental assessment server 10 may also acquire farming information spanning multiple cultivation periods. Furthermore, the environmental assessment server 10 acquires standard farming information and recommended farming information for the area where cultivation takes place. As a specific example of recommended farming, it can be said that farming that primarily uses organic fertilizers and compost with the aim of realizing a sustainable society is one example.

[0036] Next, the environmental assessment server 10 analyzes the environmental influencing factors based on the acquired basic cultivation information and farming information. These influencing factors include raw materials, materials, products, and energy consumed in relation to agricultural activities. Specific examples of influencing factors include greenhouse gases such as carbon dioxide and methane emitted as a result of agricultural activities, and nitrogen, phosphorus, potassium, and urea contained in fertilizers. Another specific example of an influencing factor is energy consumption associated with the use of agricultural machinery. The environmental assessment server 10 calculates the emission amounts of influencing factors based on the types and amounts of fertilizers, compost, green manure, and pesticides used in agricultural activities. The environmental assessment server 10 also calculates energy consumption based on the number of times and duration of use of agricultural machinery.

[0037] Next, the environmental assessment server 10 evaluates the impact of agricultural activities on the environment based on the analysis results of the influencing factors. Specifically, the environmental assessment server 10 evaluates the impacts on global warming, eutrophication, ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenic), hazardous chemicals (chronic), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), and resource consumption. The environmental assessment server 10 calculates the impact of agricultural activities on the environment by performing a sum-of-products calculation using the scale of the analyzed influencing factors and predetermined impact coefficients.

[0038] Finally, the environmental assessment server 10 predicts the resulting damage based on the analysis results of the influencing factors. Specifically, the environmental assessment server 10 predicts damage for human health, social assets, biodiversity, primary production, and integrated indicators that combine these factors. The environmental assessment server 10 predicts the damage caused by agricultural activities by performing a sum-of-products calculation using the scale of the analyzed influencing factors, predetermined damage coefficients, and integrated coefficients.

[0039] As described above, the environmental assessment server 10 evaluates the impacts of numerous items, predicts various types of damage, and outputs it as environmental assessment information. This allows producers engaged in agricultural activities to comprehensively evaluate the impact of their agricultural activities on the environment and to correctly understand the impact of their agricultural activities and select appropriate agricultural activities.

[0040] Returning to Figure 1, the transaction support server 20 is a server device that acquires environmental assessment information output by the environmental assessment server 10 and supports commercial transactions based on this environmental assessment information. More specifically, the environmental assessment information output by the environmental assessment server 10 quantifies the impact of agriculture on the environment using quantitative indicators. By supporting commercial transactions that target the environmental impact indicated by these indicators, the transaction support server 20 enables both sellers and buyers to contribute to environmental protection through commercial transactions. Transaction support server 20 is an information processing device managed and operated by the national government, local governments, research institutions, companies, or organizations working towards the realization of a sustainable society.

[0041] The producer terminal 30 is an information processing terminal used by producers (farmers) engaged in agricultural activities. The producer terminal 30 is used to input information about crops to be cultivated, fields, fertilizers, compost, green manure, and pesticides to be applied to the fields. The producer terminal 30 also acquires environmental assessment information output by the environmental assessment server 10 and outputs it as support information to help producers select appropriate agricultural activities.

[0042] Furthermore, the producer terminal 30 is used to conduct commercial transactions based on environmental assessment information via the transaction support server 20. More specifically, the producer terminal 30 can receive input from producers, including environmental assessment information and sales request information including desired price, and transmit this information to the transaction support server 20. The producer terminal 30 is a tablet device, but is not limited to this. The producer terminal 30 may be a smartphone, a desktop device, or a notebook device.

[0043] The buyer terminal 40 is an information processing terminal used by prospective buyers in commercial transactions based on environmental assessment information. More specifically, the buyer terminal 40 obtains sales request information, including environmental assessment information, from the transaction support server 20 and outputs it to the display device of the buyer terminal 40. Prospective buyers can view the sales request list output on the display device and select the items they wish to purchase. The buyer's terminal 40 is a desktop computer, but is not limited to that. The buyer's terminal 40 may be a notebook computer, a smartphone, or a tablet computer.

[0044] The administrator terminal 50 is an information processing terminal used by the person who manages and operates the environmental assessment system 1. More specifically, the administrator terminal 50 is used to properly maintain and manage the environmental assessment server 10 and the transaction support server 20. The administrator terminal 50 is also used to store the coefficients necessary for the environmental assessment server 10 to generate environmental assessment information and to update them as needed. The administrator terminal 50 is a desktop terminal, but is not limited to that. The administrator terminal 50 may be a notebook terminal, a smartphone, or a tablet terminal.

[0045] To give an overview of the environmental assessment system 1 configured as described above, first, basic cultivation information regarding the agricultural products and farmland (fields) to be cultivated, as well as farming information regarding fertilizers, compost, green manure, pesticides, etc., are input via the producer terminal 30. This information is then transmitted from the producer terminal 30 to the environmental assessment server 10. The environmental assessment server 10 receives basic cultivation information and farming information transmitted by the producer terminal 30, analyzes the influencing factors, and generates environmental assessment information based on the analyzed influencing factors. The environmental assessment information includes environmental assessment information for standard agricultural activities and environmental assessment information for recommended agricultural activities, and both are output in a comparable format. This enables producers to appropriately select fertilizers, green manure, and compost to be applied in their agricultural activities, as well as pesticides to be sprayed, and carry out their agricultural activities.

[0046] Furthermore, producers and prospective buyers can promote efforts toward realizing a sustainable society by conducting commercial transactions based on environmental assessment information output by the environmental assessment server 10 via the transaction support server 20.

[0047] <Functional Configuration of Environmental Evaluation Server 10> Next, the functional configuration of the environmental assessment server 10 will be described with reference to Figures 3 to 6. As mentioned above, the environmental assessment server 10 is a server device that evaluates the impact of the life cycle of agricultural activities on the environment. Figure 3 shows the functional configuration of the environmental evaluation server 10. As shown in Figure 3, the environmental evaluation server 10 mainly consists of an environmental evaluation server control device 11 that controls the environmental evaluation server 10 and an environmental evaluation server storage device 12.

[0048] The environmental evaluation server storage device 12 is a non-volatile auxiliary storage device consisting of an HDD (Hard Disk Drive) or an SSD (Solid State Drive), etc. The environmental evaluation server storage device 12 stores basic cultivation information TBL12a, fertilizer / compost information TBL12b, green manure information TBL12c, pesticide information TBL12d, agricultural machinery information TBL12e, plastic material information TBL12f, and residue incineration information TBL12g. The environmental evaluation server storage device 12 also stores fertilizer analysis information DB12h, compost analysis information DB12i, green manure analysis information DB12j, pesticide analysis information DB12k, agricultural machinery analysis information DB12l, plastic material analysis information DB12m, and coefficients DB12n. Furthermore, the environmental evaluation server storage device 12 stores the environmental evaluation program 12o, which is executed by the environmental evaluation server control device 11.

[0049] The Basic Cultivation Information TBL12a stores information about the fields (paddy fields, farmland, orchards, etc.) where crops are cultivated and the crops grown in those fields. The Basic Cultivation Information TBL12a is registered and updated by users of the Environmental Assessment System 1, including producers. Figure 4 shows an example of the data structure of the cultivation basic information TBL12a. As shown in Figure 4, the cultivation basic information TBL12a stores records that have the following items: farm ID, field ID, latitude, longitude, area, crop, variety, cultivation period, and type.

[0050] The farming ID is an identifier that can identify a farming operation, and it stores alphanumeric characters. The field ID is information that can identify the field where crops are cultivated, and it also stores alphanumeric characters. Latitude and longitude are latitude and longitude information that can identify the location of the field identified by the field ID. However, the cultivation basic information TBL12a may also have items that can identify the address of the field, without being limited to this.

[0051] Area is information that can identify the area of ​​a field identified by the field ID. However, the cultivation basic information TBL12a may also include items that can identify the shape and size of the field, without being limited to this. Crop, variety, and cultivation period are information that can identify the type, variety, and cultivation period of crops cultivated in a farm identified by the farm ID. However, the basic cultivation information TBL12a may also include items that can identify the start and end dates of cultivation.

[0052] The "Type" field contains information that identifies the type of farming activity identified by the farming ID. Specifically, it stores either "Standard," indicating that the farming activity is standard for the region where the crops are cultivated, or "Project," indicating that the farming activity differs from standard farming activities and is recommended. However, it is not limited to these two; it may also store project names or other information that allows for the identification of details of the recommended farming activity.

[0053] The Fertilizer and Compost Information TBL12b stores information regarding the application of fertilizers and compost. The Fertilizer and Compost Information TBL12b is registered and updated by users of the Environmental Assessment System 1, including producers. Figure 5A shows an example of the data structure of the fertilizer and compost information TBL12b. As shown in Figure 5A, the fertilizer and compost information TBL12b stores records that have the following fields: farming ID, fertilizer and compost ID, application date, application area, and application amount.

[0054] The farming ID is identification information that can identify farming operations, and stores the same information as the basic cultivation information TBL12a. The fertilizer / compost ID is an identifier that can identify the fertilizer or compost to be applied, and it stores alphanumeric characters. However, it is sufficient that the fertilizer or compost can be identified, and the fertilizer / compost information TBL12b may include items such as the type of fertilizer or compost (chemical fertilizer, organic fertilizer, compost, etc.), product name, manufacturer, and model number.

[0055] The application date is date information that can identify the date on which the fertilizer or compost was applied; the application area is information that can identify the area on which the fertilizer or compost was applied; and the application amount is information that can identify the weight of the fertilizer or compost applied. However, without limiting itself, the fertilizer / compost information TBL12b may further include items that can identify the method of application of the fertilizer or compost.

[0056] The green manure information database TBL12c stores information regarding the application of green manure. The green manure information database TBL12c is registered and updated by users of the environmental assessment system 1, including producers. Figure 5B shows an example of the data structure of the green manure information TBL12c. As shown in Figure 5B, the green manure information TBL12c stores records that have the following items: farming ID, green manure ID, sowing date, tilling date, sowing amount, tilling area, and tilling amount.

[0057] The farming ID is identification information that can identify farming operations, and stores the same information as the basic cultivation information TBL12a. The green manure ID is an identifier that can identify the green manure to be applied, and it stores alphanumeric characters. However, it is sufficient that the green manure can be identified, and the green manure information TBL12c may also have items related to the type of green manure (crotalaria, oats, barley, etc.).

[0058] The sowing date is date information that can identify the sowing date of the green manure seedlings, and the incorporation date is date information that can identify the incorporation date of the green manure. However, it is not limited to this, and the green manure information TBL12c may further have items that can identify the harvesting date of the green manure. The sowing rate is information that can identify the weight of the green manure seedlings to be sown, the area to be tilled in is information that can identify the area to which the green manure will be tilled in, and the tilling amount is information that can identify the weight of the green manure to be tilled in. However, without limiting itself, the green manure information TBL12c may further have items that can identify the method of application of the green manure.

[0059] The pesticide information database TBL12d stores information regarding pesticide application. The pesticide information database TBL12d is registered and updated by users of the environmental assessment system 1, including producers. Figure 5C shows an example of the data structure of the pesticide information TBL12d. As shown in Figure 5C, the pesticide information TBL12d stores records that have the following fields: farming ID, pesticide ID, application date, application area, application amount, and dilution ratio.

[0060] The farming ID is identification information that can identify farming operations, and stores the same information as the basic cultivation information TBL12a. The pesticide ID is an identifying piece of information that can identify the pesticide being sprayed, and it stores alphanumeric characters. However, it is sufficient that the pesticide can be identified, and the pesticide information TBL12d may also include items related to the type of pesticide (insecticide, fungicide, herbicide, etc.), the product name of the pesticide, the manufacturer, and the model number.

[0061] The application date is date information that identifies the date on which the pesticide was applied; the application area is information that identifies the area on which the pesticide was applied; the application amount is information that identifies the weight of the pesticide being applied; and the dilution ratio is information that identifies the dilution ratio used when applying the pesticide. However, without limiting itself, the pesticide information TBL12d may further include items that identify the method of application of the pesticide.

[0062] The agricultural machinery information database TBL12e stores information regarding the use of agricultural machinery. The agricultural machinery information database TBL12e is registered and updated by users of the environmental assessment system 1, including producers. Figure 5D shows an example of the data structure of the agricultural machinery information TBL12e. As shown in Figure 5D, the agricultural machinery information TBL12e stores records that have fields for farming ID, agricultural machinery ID, number of uses, and usage time.

[0063] The farming ID is identification information that can identify farming operations, and stores the same information as the basic cultivation information TBL12a. The agricultural machinery ID is an identifier that can identify the agricultural machinery being used, and it stores alphanumeric characters. However, it is sufficient that the agricultural machinery can be identified, and the agricultural machinery information TBL12e may also include items related to the use of the agricultural machinery (e.g., spreading fertilizer or compost, sowing seeds, plowing), the manufacturer of the agricultural machinery, and the model number.

[0064] The number of uses is information that can identify the number of times the agricultural machinery has been used, and the usage time is time information that can identify the duration of each use. However, the agricultural machinery information TBL12e may also have further items that can identify how the agricultural machinery is used, such as the date and time of use and the conditions of use.

[0065] The plastic materials information database TBL12f stores information on the use of plastic materials. Plastic materials are synthetic resin materials used in agricultural activities, such as agricultural greenhouses, mulch, and packaging materials. Figure 5E shows an example of the data structure of the plastic material information TBL12f. As shown in Figure 5E, the plastic material information TBL12f stores records that have fields for farming ID, material ID, type of plastic material, amount used, and years of use.

[0066] The farming ID is identification information that can identify farming operations, and stores the same information as the basic cultivation information TBL12a. The material ID is information that can identify the plastic material being used, and it stores alphanumeric characters. However, it is sufficient that the plastic material can be identified, and the plastic material information TBL12f may also include items related to the manufacturer and model number of the plastic material.

[0067] The type of plastic material stored is the intended use of the plastic material (e.g., agricultural greenhouses, mulch, packaging materials). The quantity used is information that identifies the weight of the plastic material used, but may also be information that identifies the dimensions or area of ​​the plastic material. The years of use is information that identifies the years of use of the plastic material used, but may also include information that identifies the number of months of use.

[0068] The residue incineration information TBL12g stores information related to residue incineration. Residue is waste remaining after crop cultivation and is incinerated after harvest to prevent the occurrence of pathogens. Specific examples of residue include the stems, leaves, and roots of plants after cultivation. Figure 5F shows an example of the data structure of the residue incineration information TBL12g. As shown in Figure 5F, the residue incineration information TBL12g stores records that have the following fields: farming ID, type of crop to be incinerated, incineration area, and incineration time.

[0069] The farming ID is identification information that can identify farming operations, and stores the same information as the basic cultivation information TBL12a. The crop type is information that identifies the type or variety of crop to be incinerated after cultivation. The incineration area is the area of ​​the field to be incinerated, and the incineration time is date information that identifies the time when the incineration is carried out.

[0070] The Fertilizer Analysis Information DB12h stores information necessary for fertilizer analysis and environmental assessment. The Fertilizer Analysis Information DB12h is updated by the administrator of Environmental Assessment System 1. Figure 6A shows an example of the data structure of the fertilizer analysis information DB12h. As shown in Figure 6A, the fertilizer analysis information DB12h stores records that have the following items: fertilizer ID, name, nitrogen content, phosphorus content, potassium content, carbon content, nitrogen leaching rate, phosphorus leaching rate, emission coefficient, and shipping location.

[0071] The fertilizer ID is identification information that can identify the fertilizer to be applied, and the same information as that stored in the fertilizer / compost information TBL12b is stored therein. The name is the name (product name) of the fertilizer identified by the fertilizer ID. However, the fertilizer analysis information DB12h may also include items related to the type of fertilizer (chemical fertilizer, urea fertilizer, organic fertilizer, etc.) and the name of the manufacturer, without being limited to this.

[0072] The nitrogen content, phosphorus content, potassium content, and carbon content are those of the fertilizer identified by its fertilizer ID. The nitrogen leaching rate and phosphorus leaching rate are the percentages of nitrogen and phosphorus leached from the fertilizer.

[0073] Emission factors are coefficients that indicate the scale of greenhouse gas emissions associated with the manufacture and use of fertilizers. Specific examples of emission factors include the greenhouse gas emission factor during fertilizer manufacture, the nitrous oxide emission factor generated by the application of nitrogen-containing fertilizers, and the carbon dioxide emission factor generated by the use of urea fertilizers. The shipping location is location information that can identify the shipping location of the fertilizer, and may be the latitude and longitude of the shipping location, or the address of the shipping location.

[0074] The Compost Analysis Information DB12i stores information necessary for compost analysis and environmental assessment. The Compost Analysis Information DB12i is updated by the administrator of Environmental Assessment System 1. Figure 6B shows an example of the data structure of the compost analysis information DB12i. As shown in Figure 6B, the compost analysis information DB12i stores records that include the following items: compost ID, name, raw material weight ratio, raw material weight, electricity used, amount of tap water used during production, amount of heavy oil used, amount of light oil used, woody material ratio, emission factor, and shipping location. In addition, although not shown in Figure 6B, the compost analysis information DB12i may also include the following items: nitrogen content, phosphorus content, carbon content, nitrogen leaching rate, and phosphorus leaching rate.

[0075] The compost ID is an identifier that can identify the compost to be applied, and the same information as that stored in the fertilizer / compost information TBL12b is stored therein. The name is the name of the compost identified by the compost ID. However, the compost analysis information DB12i may also include items related to the type of compost (compost, animal manure), without being limited to this.

[0076] The raw material weight ratio and raw material weight refer to the raw material weight ratio and raw material weight for compost made from waste materials such as food scraps and pruned branches. The electricity consumption, water usage, heavy oil usage, and light oil usage refer to the electricity consumption, water usage, heavy oil usage, and light oil usage during the manufacturing process of the compost production lot, respectively. The woody material ratio refers to the weight ratio of woody materials included in the raw materials of the compost.

[0077] The emission factor indicates the scale of greenhouse gas emissions generated during compost production and in the use of compost. Specific examples of emission factors include the nitrous oxide emission factor and methane emission factor, which indicate the amount of nitrous oxide and methane emitted during compost production according to the raw materials, and the nitrous oxide emission factor generated during the use of compost. The shipping location is location information that can identify the shipping location of the compost, and may be the latitude and longitude of the shipping location, or the address of the shipping location.

[0078] The Green Manure Analysis Information DB12j stores information necessary for the analysis and environmental assessment of green manure. The Green Manure Analysis Information DB12j is updated by the administrator of Environmental Assessment System 1. Figure 6C shows an example of the data structure of the green manure analysis information DB12j. As shown in Figure 6C, the green manure analysis information DB12j stores records that have the following fields: green manure ID, name, nitrogen content, carbon content, and shipping location.

[0079] The green manure ID is identification information that can identify the green manure to be applied, and the same information as that stored in the green manure information TBL12c is stored therein. The name is the name of the green manure identified by the green manure ID. However, the green manure analysis information DB12j may also include items related to the type of green manure (crotalaria, oats, barley, etc.), without being limited to this.

[0080] The nitrogen and carbon content are those of the green manure identified by its green manure ID. The shipping location is location information that can identify the shipping location of the green manure seedlings, and may be the latitude and longitude of the shipping location, or the address of the shipping location.

[0081] The Pesticide Analysis Information DB12k stores information necessary for pesticide analysis and environmental assessment. The Pesticide Analysis Information DB12k is updated by the administrator of Environmental Assessment System 1. Figure 6D shows an example of the data structure of the pesticide analysis information DB12k. As shown in Figure 6D, the pesticide analysis information DB12k stores records that have the following fields: pesticide ID, name, type 1, type 2, and shipping location.

[0082] The pesticide ID is an identifying piece of information that can identify the pesticide being sprayed, and it stores the same information as the pesticide information TBL12d. The name refers to information about the product name of the pesticide, identified by the pesticide ID. However, the pesticide analysis information DB12k may also include items related to the pesticide manufacturer, without being limited to this.

[0083] Type 1 and Type 2 are information that can identify the type of pesticide. Type 1 stores one of the following: "insecticide," "fungicide," "herbicide," or "other pesticide." Type 2 is information that can identify the components contained in the pesticide. Specific examples include information on components that have a significant impact on the environment, such as malauthin, maneb, zineb, ziram, thiraum, polycarbamate, and mancozeb. The shipping location is location information that can identify the shipping location of the pesticide, and may be the latitude and longitude of the shipping location, or the address of the shipping location.

[0084] The Agricultural Machinery Analysis Information DB12l stores information necessary for the analysis and environmental assessment of agricultural machinery in use. The Agricultural Machinery Analysis Information DB12l is updated by the administrator of Environmental Assessment System 1. Figure 6E shows an example of the data structure of the agricultural machinery analysis information DB12l. As shown in Figure 6E, the agricultural machinery analysis information DB12l stores records that have fields for agricultural machinery ID, name, purpose, fuel consumption, and calorific value.

[0085] The agricultural machinery ID is identification information that can identify the agricultural machinery being used, and it stores the same information as the agricultural machinery information TBL12e. The name refers to information about the product name of the agricultural machinery identified by the agricultural machinery ID. However, the agricultural machinery analysis information DB12l may also include items related to the agricultural machinery manufacturer and model number, without being limited to this.

[0086] The "purpose" field contains information about the use of agricultural machinery identified by the agricultural machinery ID, such as "spraying," "sowing," and "plowing." Fuel consumption is identifiable information that specifies the amount of fuel consumed per unit time during the operation of agricultural machinery. Calorific value is identifiable information that specifies the amount of heat generated when agricultural machinery consumes fuel.

[0087] The Plastic Material Analysis Information DB12m stores information necessary for the analysis and environmental assessment of plastic materials. The Plastic Material Analysis Information DB12m is updated by the administrator of Environmental Assessment System 1. Figure 6F shows an example of the data structure of the plastic material analysis information DB12m. As shown in Figure 6F, the plastic material analysis information DB12m stores records that have the fields for material ID, resin type, and shipping location, but is not limited to these. The plastic material analysis information DB12m may also have a field for service life.

[0088] The material ID is an identifying information that can specify a plastic material, and the same information as that stored in the plastic material information TBL12f is stored therein. The type of resin is information that can identify the synthetic resin that is the raw material for the plastic material identified by the material ID, and specific examples include polyolefin, polyvinyl chloride, polyethylene, etc. The shipping location is location information that can identify the shipping location (or manufacturing location) of the plastic material, and may be the latitude and longitude of the shipping location, or the address of the shipping location.

[0089] Returning to Figure 3, the coefficient DB12n stores coefficients used to evaluate the impact of agricultural activities on the environment and to predict the damage caused by agricultural activities. More specifically, the coefficient DB12n stores an impact coefficient, a damage coefficient, and a weighting coefficient. The impact coefficient is used when evaluating the impact of agricultural activities on the environment. The damage coefficient is used when predicting the damage caused by agricultural activities. The weighting coefficient is used when calculating the integrated index, which will be discussed later. The environmental assessment program 12o is executed by the environmental assessment server control device 11 and is a program that performs the environmental assessment process described later with reference to Figure 9.

[0090] The environmental evaluation server control device 11 has a CPU, volatile memory, and non-volatile memory, and is a control circuit that controls the environmental evaluation server 10. The CPU of the environmental evaluation server control device 11 loads the environmental evaluation program 12o stored in the environmental evaluation server storage device 12 into the volatile memory and executes it. As a result, the environmental evaluation server control device 11 functions as a cultivation basic information acquisition unit 11a, a first farming information acquisition unit 11b, a second farming information acquisition unit 11c, a first evaluation information calculation unit 11d, a second evaluation information calculation unit 11e, an environmental evaluation information output unit 11f, and an improvement evaluation information calculation unit 11g. The environmental evaluation server 10 corresponds to the environmental evaluation device of the present invention, and the environmental evaluation server control device 11 corresponds to the computer of the environmental evaluation device.

[0091] The cultivation basic information acquisition unit 11a acquires cultivation basic information that can identify the crops to be cultivated and the location and area of ​​the field where the crops are cultivated. The cultivation basic information may also include information regarding the cultivation period. The cultivation basic information acquisition unit 11a can acquire cultivation basic information by receiving it from the producer terminal 30 via a telecommunications line NW. Alternatively, the cultivation basic information acquisition unit 11a may acquire cultivation basic information by accessing the cultivation basic information TBL 12a.

[0092] The first farming information acquisition unit 11b acquires first farming information, which is standard farming information regarding the application of fertilizers, compost, and green manure, as well as the spraying of pesticides in the field. More specifically, the first farming information acquisition unit 11b accesses the basic cultivation information TBL12a and acquires farming information identified by the farming ID, which has "Standard" stored in the type, from the fertilizer / compost information TBL12b, green manure information TBL12c, and pesticide information TBL12d.

[0093] Furthermore, the first farming information acquisition unit 11b acquires usage information for agricultural machinery used in standard farming practices. More specifically, the first farming information acquisition unit 11b accesses the agricultural machinery information TBL12e and acquires information regarding the number of times and duration of use of the agricultural machinery.

[0094] Furthermore, the first farming information acquisition unit 11b may acquire information on the amount of plastic materials used in standard farming practices. More specifically, the first farming information acquisition unit 11b accesses the plastic material information TBL12f and acquires information on the amount of plastic materials used and their service life.

[0095] Furthermore, the first farming information acquisition unit 11b may acquire information regarding the amount of residue incineration associated with standard farming practices (the first residue incineration information of the present invention). More specifically, the first farming information acquisition unit 11b can access the residue incineration information TBL 12g and acquire information regarding residue incineration.

[0096] The second farming information acquisition unit 11c acquires second farming information, which is recommended farming information regarding the application of fertilizers, compost, and green manure, as well as the spraying of pesticides in the field. More specifically, the second farming information acquisition unit 11c acquires second farming information by receiving farming information entered into the producer terminal 30 via a telecommunications line NW. Alternatively, the second farming information acquisition unit 11c may access the basic cultivation information TBL12a and acquire farming information identified by the farming ID, which has "Project" stored in the type, from the fertilizer / compost information TBL12b, green manure information TBL12c, and pesticide information TBL12d.

[0097] Furthermore, the second farming information acquisition unit 11c acquires information on the use of agricultural machinery used in recommended farming practices. More specifically, the second farming information acquisition unit 11c acquires information on the number of times and duration of use of agricultural machinery by receiving it from the producer terminal 30 via the telecommunications line NW, or by accessing the agricultural machinery information TBL12e.

[0098] Furthermore, the second farming information acquisition unit 11c may acquire information regarding the amount of plastic materials used in recommended farming practices. More specifically, the second farming information acquisition unit 11c acquires information regarding the amount of plastic materials used, etc., by receiving it from the producer terminal 30 via the telecommunications line NW, or by accessing the plastic material information TBL12f.

[0099] Furthermore, the second farming information acquisition unit 11c may acquire information regarding the recommended amount of residue incineration associated with farming (the second residue incineration information of the present invention). More specifically, the second farming information acquisition unit 11c acquires information regarding the amount of residue incineration by receiving it from the producer terminal 30 via a telecommunications line NW, or by accessing the residue incineration information TBL 12g.

[0100] The first evaluation information calculation unit 11d calculates first evaluation information that shows the impact of standard farming on the environment based on the basic cultivation information and the first farming information. The first evaluation information includes a greenhouse gas index that shows the greenhouse gas emissions associated with farming, a eutrophication index that shows the impact of farming on eutrophication, an ozone depletion index that shows the impact of farming on ozone layer depletion, an acidification index that shows the impact of farming on acidification, an urban air pollution index that shows the impact of farming on urban air pollution, a photochemical oxidant index that shows the impact of farming on photochemical oxidants, a hazardous chemical substance (carcinogenicity) index that shows the impact of hazardous chemical substances (carcinogenicity) associated with farming, a hazardous chemical substance (chronic) index that shows the impact of hazardous chemical substances (chronic) associated with farming, an aquatic ecotoxicity index that shows the impact of farming on aquatic ecotoxicity, a terrestrial ecotoxicity index that shows the impact of farming on terrestrial ecotoxicity, a land use (maintenance) index that shows the impact of farming on land use (maintenance), a land use (modification) index that shows the impact of farming on land use (modification), and a resource consumption index that shows the impact of farming on resource consumption. Furthermore, the primary assessment information includes a human health index showing the impact of farming on human health, a social assets index showing the impact of farming on social assets, a biodiversity index showing the impact of farming on biodiversity, a primary production index showing the impact of farming on primary production, and an integrated index that comprehensively shows the impact of farming on the environment. Furthermore, the primary evaluation information includes a water resource consumption index indicating the amount of water resource consumption associated with farming, a total nitrogen leaching index indicating the total amount of nitrogen leaching associated with farming, and a total phosphorus leaching index indicating the total amount of phosphorus leaching associated with farming. The following section will explain in detail how the first evaluation information is calculated by the first evaluation information calculation unit 11d, using the greenhouse gas index and total nitrogen leaching as examples.

[0101] <<Regarding the calculation of the greenhouse gas index>> First, let's explain how to calculate the greenhouse gas index. The greenhouse gas index is the total emissions of greenhouse gases, including carbon dioxide, methane, and nitrous oxide, converted to carbon dioxide equivalents, and is called the CO2 equivalent. The first evaluation information calculation unit 11d calculates greenhouse gas emissions using the following formula (1). GHG=GHG_FS +GHG_FO +GHG_FC +GHG_FM +GHG_PES +GHG_SED +GHG_LOG +GHG_FU +GHG_SOC +GHG_PLA +GHG_BUR (1) Here, GHG represents the predicted value of greenhouse gas emissions. GHG_FS, GHG_FO, GHG_FC, GHG_FM, GHG_PES, and GHG_SED are the predicted values ​​of greenhouse gas emissions from the production and use of chemical fertilizers, organic fertilizers, compost, animal manure, pesticides, and green manure seedlings, respectively. GHG_LOG is the predicted value of greenhouse gas emissions from the transportation of fertilizers, compost, green manure, pesticides, and plastic materials. GHG_FU is the predicted value of greenhouse gas emissions from fuel use. GHG_SOC is the predicted value of greenhouse gas emissions associated with changes in soil carbon sequestration. GHG_PLA is the predicted value of greenhouse gas emissions from the production and disposal of plastic materials. GHG_BUR is the predicted value of greenhouse gas emissions from residue incineration. Each of these predicted values ​​is explained below.

[0102] The predicted greenhouse gas emissions from the manufacture and use of chemical fertilizers, GHG_FS, can be calculated using the following formula (2). GHG_FS=PRD_GHG_FS +USE_GHG_FS (2) Here, PRD_GHG_FS is the predicted value of greenhouse gas emissions from the production of chemical fertilizers. USE_GHG_FS is the predicted value of greenhouse gas emissions from the use of chemical fertilizers.

[0103] The predicted value PRD_GHG_FS for greenhouse gas emissions from the production of chemical fertilizers can be calculated using the following formula (3). PRD_GHG_FS=Σt(FSN×NC×ka3 +FSP×PC×kb3 +FSK×KC×kc3)×A (3) Here, FSN is the application rate of nitrogen-containing chemical fertilizer. NC is the nitrogen content of the chemical fertilizer. ka3 is the greenhouse gas emission factor related to the production of nitrogen-containing chemical fertilizer. FSP is the application rate of phosphorus-containing chemical fertilizer. PC is the phosphorus content of the chemical fertilizer. kb3 is the greenhouse gas emission factor related to the production of phosphorus-containing chemical fertilizer. FSK is the application rate of potassium-containing chemical fertilizer. KC is the potassium content of the chemical fertilizer. kc3 is the greenhouse gas emission factor related to the production of potassium-containing chemical fertilizer. A is the field area, and t is the management period during which the crop is cultivated.

[0104] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of chemical fertilizers applied stored in the fertilizer / compost information TBL12b, the nitrogen content, phosphorus content, and potassium content stored in the fertilizer analysis information DB12h, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (3) to calculate the predicted value PRD_GHG_FS of greenhouse gas emissions due to the production of chemical fertilizers.

[0105] The predicted value of greenhouse gas emissions from the use of chemical fertilizers, USE_GHG_FS, can be calculated using the following equation (4). USE_GHG_FS=Σt(UR×EF+FSN×NC×Ka4)×A (4) Here, UR is the amount of urea applied. EF is the greenhouse gas emission factor due to the application of urea fertilizer. ka4 is the greenhouse gas emission factor related to direct and indirect emissions associated with the application of nitrogen-containing chemical fertilizers.

[0106] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the application rates of urea fertilizer and nitrogen-containing chemical fertilizers stored in the fertilizer / compost information TBL12b, the greenhouse gas emission coefficient and nitrogen content due to urea application stored in the fertilizer analysis information DB12h, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (4) to calculate the predicted value of greenhouse gas emissions due to the use of chemical fertilizers, USE_GHG_FS.

[0107] The predicted greenhouse gas emissions from the production and use of organic fertilizers, GHG_FO, can be calculated using the following formula (5). GHG_FO=PRD_GHG_FO +USE_GHG_FO (5) Here, PRD_GHG_FO is the predicted value of greenhouse gas emissions from the production of organic fertilizers. USE_GHG_FO is the predicted value of greenhouse gas emissions from the use of organic fertilizers.

[0108] The predicted value of greenhouse gas emissions from the production of organic fertilizers, PRD_GHG_FO, can be calculated using the following formula (6). PRD_GHG_FO=Σt(FO×ka6)×A (6) Here, FO is the amount of organic fertilizer applied, and ka6 is the greenhouse gas emission factor related to the production of organic fertilizer.

[0109] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of organic fertilizer applied stored in the fertilizer / compost information TBL12b, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (6) to calculate the predicted value PRD_GHG_FO of greenhouse gas emissions due to the production of organic fertilizer.

[0110] The predicted value of greenhouse gas emissions from the use of organic fertilizers, USE_GHG_FO, can be calculated using the following formula (7). USE_GHG_FO=Σt(FO×NC×ka7)×A (7) Here, ka7 is the greenhouse gas emission factor related to direct and indirect emissions associated with the use of organic fertilizers.

[0111] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of organic fertilizer applied stored in the fertilizer / compost information TBL12b, the nitrogen content stored in the fertilizer analysis information DB12h, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (7) to calculate the predicted value of greenhouse gas emissions due to the use of organic fertilizer, USE_GHG_FO.

[0112] The predicted greenhouse gas emissions (GHG_FC) from the production and use of compost can be calculated using the following formula (8). GHG_FC=PRD_GHG_FC +ONSITE_GHG_FC +USE_GHG_FC (8) Here, PRD_GHG_FC is the predicted greenhouse gas emissions from compost production. ONSITE_GHG_FC is the predicted greenhouse gas emissions generated during compost production. USE_GHG_FC is the predicted greenhouse gas emissions from compost use.

[0113] The estimated greenhouse gas emissions from compost production, PRD_GHG_FC, can be calculated using the following formula (9). PRD_GHG_FC =Σt(FC×(EL_FC×ka9 +TWTR_FC×kb9 +HOL_FC×kc9 +LOL_FC×kd9 +LOG_FC×ke9)) / FC_LOT×A (9) Here, FC is the amount of compost applied. EL_FC is the electricity used in the production of the compost batch. ka9 is the greenhouse gas emission factor related to electricity consumption during compost production. TWTR_FC is the amount of tap water used in the production of the compost batch. kb9 is the greenhouse gas emission factor related to tap water use during compost production. HOL_FC is the amount of heavy oil used in the production of the compost batch. kc9 is the greenhouse gas emission factor related to the combustion of heavy oil. LOL_FC is the amount of light oil used in the production of the compost batch. kd9 is the greenhouse gas emission factor related to the combustion of light oil. LOG_FC is the value obtained by multiplying the weight of the compost raw materials by the transportation distance from the raw material supply location to the production location. ke9 is the greenhouse gas emission factor related to truck transportation. FC_LOT is the weight of the raw materials in the compost batch.

[0114] The first evaluation information calculation unit 11d can obtain the location and area of ​​the field stored in the basic cultivation information TBL12a, the amount of compost applied stored in the fertilizer / compost information TBL12b, the weight of raw materials, electricity used, water usage, heavy oil usage, light oil usage, and shipping location stored in the compost analysis information DB12i, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (9) to calculate the predicted value of greenhouse gas emissions due to compost production, PRD_GHG_FC.

[0115] The predicted value of greenhouse gas emissions generated during compost production, ONSITE_GHG_FC, can be calculated using the following formula (10). ONSITE_GHG_FC =(Σt(FC×FC_RT×ka10) +Σt(FC×FC_RT×kb10) +Σt(FC×(1-FC_RT)×kc10) +Σt(FC(1-FC_RT)×kd10))×A (10) Here, FC_RT is the proportion of woody materials among the raw materials. ka10 is the greenhouse gas emission factor for nitrous oxide emitted by woody materials among the raw materials of the compost. kb10 is the greenhouse gas emission factor for methane emitted by woody materials among the raw materials of the compost. kc10 is the greenhouse gas emission factor for nitrous oxide emitted by non-woody materials among the raw materials of the compost. kd10 is the greenhouse gas emission factor for methane emitted by non-woody materials among the raw materials of the compost.

[0116] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of compost applied stored in the fertilizer / compost information TBL12b, the woody material ratio and emission coefficient stored in the compost analysis information DB12i, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (10) to calculate the predicted value ONSITE_GHG_FC of greenhouse gas emissions generated during compost production.

[0117] The estimated greenhouse gas emissions from compost use, USE_GHG_FC, can be calculated using the following formula (11). USE_GHG_FC=Σt(FC×NC×ka11)×A (11) Here, ka11 is the greenhouse gas emission factor related to direct and indirect emissions associated with the application of compost.

[0118] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of compost applied stored in the fertilizer / compost information TBL12b, the nitrogen content stored in the fertilizer analysis information DB12h, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (11) to calculate the predicted value of greenhouse gas emissions due to the use of compost, USE_GHG_FC.

[0119] The predicted greenhouse gas emissions (GHG_FM) from the production and use of animal manure can be calculated using the following formula (12). GHG_FM=USE_GHG_FM (12) Here, USE_GHG_FM is the predicted value of greenhouse gas emissions from the use of animal manure.

[0120] The predicted greenhouse gas emissions from the use of animal manure, USE_GHG_FM, can be calculated using the following formula (13). Here, USE_GHG_FM = Σt(FM × NC × ka13) × A (13) Here, FM is the amount of animal manure applied. NC is the nitrogen content of the animal manure. ka13 is the greenhouse gas emission factor for direct and indirect emissions associated with the use of animal manure.

[0121] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of animal manure applied stored in the fertilizer / compost information TBL12b, the nitrogen content stored in the fertilizer analysis information DB12h, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (13) to calculate the predicted value of greenhouse gas emissions due to the use of animal manure, USE_GHG_FM.

[0122] The predicted greenhouse gas emissions from the manufacture and use of pesticides, GHG_PES, can be calculated using the following formula (14). GHG_PES=PRD_GHG_PES+TWTR_GHG_PES (14) Here, PRD_GHG_PES is the predicted value of greenhouse gas emissions from pesticide manufacturing. TWTR_GHG_PES is the predicted value of greenhouse gas emissions from water use in pesticide application.

[0123] The estimated greenhouse gas emissions from pesticide manufacturing, PRD_GHG_PES, can be calculated using the following formula (15). PRD_GHG_PES=Σt(ISC×ka15 +ISCMd×kb15 +ISCMew×kc15 +FGC×kd15 +FGCAZ×ke15 +PESOT×kf15 +HEB × kg 15) × A (15) Here, ISC is the amount of insecticide sprayed. ka15 is the greenhouse gas emission factor related to the manufacture of the insecticide. ISCMd is the amount of malathion powder insecticide sprayed. kb15 is the greenhouse gas emission factor related to the manufacture of malathion powder insecticide. ISCMew is the amount of malathion emulsion insecticide sprayed. kc15 is the greenhouse gas emission factor related to the manufacture of malathion emulsion insecticide. FGC is the amount of fungicide sprayed. kd15 is the greenhouse gas emission factor related to the manufacture of fungicide. FGCAZ is the amount of fungicide containing maneb, zineb, mancozeb, ziram, thiraum, or polycarbamate as ingredients sprayed. ke15 is the greenhouse gas emission factor related to the manufacture of fungicide containing maneb, zineb, mancozeb, ziram, thiraum, or polycarbamate as ingredients. PESOT is the amount of other pesticides sprayed. kf15 is the greenhouse gas emission factor for the manufacture of other pesticides. HEB is the amount of herbicide applied. kg15 is the greenhouse gas emission factor for the manufacture of herbicides.

[0124] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of pesticides applied stored in the pesticide information TBL12d, the type of pesticide stored in the pesticide analysis information DB12k, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (15) to calculate the predicted value of greenhouse gas emissions due to pesticide production, PRD_GHG_PES.

[0125] The predicted value of greenhouse gas emissions from water use in pesticide application, TWTR_GHG_PES, can be calculated using the following formula (16). TWTR_GHG_PES=Σt(TWTR_ISC +TWTR_ISCMd +TWTR_ISCMew +TWTR_FGC +TWTR_FGCAZ +TWTR_PESOT +TWTR_HEB)×ka16×A (16) Here, TWTR_ISC is the amount of tap water used in the application of insecticides. TWTR_ISCMd is the amount of tap water used in the application of malathion powder insecticides. TWTR_ISCMew is the amount of tap water used in the application of malathion emulsion insecticides. TWTR_FGC is the amount of tap water used in the application of fungicides. TWTR_FGCAZ is the amount of tap water used in the application of fungicides containing maneb, zineb, mancozeb, ziram, thiraum, or polycarbamate. TWTR_PESOT is the amount of tap water used in the application of other pesticides. TWTR_HEB is the amount of tap water used in the application of fungicides. ka16 is the greenhouse gas emission factor related to tap water use.

[0126] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of pesticides sprayed and the dilution ratio stored in the pesticide information TBL12d, the type of pesticide stored in the pesticide analysis information DB12k, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (16) to calculate the predicted value of greenhouse gas emissions due to water use in pesticide application, TWTR_GHG_PES.

[0127] The predicted greenhouse gas emissions GHG_SED from the production and use of green manure seedlings can be calculated using the following formula (17). GHG_SED=PRD_GHG_SED +USE_GHG_SED (17) Here, PRD_GHG_SED is the predicted greenhouse gas emissions from the production of green manure seedlings. USE_GHG_SED is the predicted greenhouse gas emissions from the use of green manure seedlings.

[0128] The estimated greenhouse gas emissions from the production of green manure seedlings, PRD_GHG_SED, can be calculated using the following formula (18). PRD_GHG_SED=Σt(SED×ka18)×A (18) Here, SED is the predicted amount of green manure seedlings to be applied. ka18 is the greenhouse gas emission factor related to the production of seedlings.

[0129] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the seeding rate stored in the green manure information TBL12c, and the influence coefficient stored in the coefficient DB12n, and substitute them into equation (18) to calculate the predicted value of greenhouse gas emissions due to the production of green manure seedlings, PRD_GHG_SED.

[0130] The predicted greenhouse gas emissions from the use of green manure seedlings, USE_GHG_SED, can be calculated using the following formula (19). USE_GHG_SED=Σt(SEDYIELD×NC×ka19)×A (19) Here, SEDYIELD is the amount of green manure, a nitrogen-fixing crop, incorporated into the soil. NC is the nitrogen content of the green manure, a nitrogen-fixing crop. ka19 is the greenhouse gas emission factor related to the incorporation of green manure.

[0131] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of green manure incorporated into the soil stored in the green manure information TBL12c, the nitrogen content stored in the green manure analysis information DB12j, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (19) to calculate the predicted value of greenhouse gas emissions due to the use of green manure seedlings, USE_GHG_SED.

[0132] The predicted value of greenhouse gas emissions from the transportation of materials, GHG_LOG, can be calculated using the following formula (20). GHG_LOG=LOG_GHG_FS +LOG_GHG_FO +LOG_GHG_FC +LOG_GHG_FM +LOG_GHG_PES +LOG_GHG_SED +LOG_GHG_PLA (20) Here, LOG_GHG_FS, LOG_GHG_FO, LOG_GHG_FC, LOG_GHG_FM, LOG_GHG_PES, LOG_GHG_SED, and LOG_GHG_PLA are predicted greenhouse gas emissions from the transportation of chemical fertilizers, organic fertilizers, compost, animal manure, pesticides, green manure seeds, and plastic materials, respectively.

[0133] The predicted value LOG_GHG_FS for greenhouse gas emissions from the transport of chemical fertilizers can be calculated using the following formula (21). LOG_GHG_FS =Σt(FSN+FSP+FSK)×A×LOG_SF×ka21 (21) Here, LOG_FS is the transport distance of the chemical fertilizer, and ka21 is the greenhouse gas emission factor related to the transport of the chemical fertilizer.

[0134] The first evaluation information calculation unit 11d can obtain the location and area of ​​the field stored in the basic cultivation information TBL12a, the amount of chemical fertilizer applied stored in the fertilizer / compost information TBL12b, the shipping destination stored in the fertilizer analysis information DB12h, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (21) to calculate the predicted value LOG_GHG_FS of greenhouse gas emissions due to the transport of chemical fertilizers.

[0135] The predicted value LOG_GHG_FO of greenhouse gas emissions from the transport of organic fertilizers can be calculated using the following formula (22). LOG_GHG_FO=ΣtFO×A×LOG_FO×ka22 (22) Here, LOG_FO is the transport distance of the organic fertilizer, and ka22 is the greenhouse gas emission factor related to the transport of the organic fertilizer.

[0136] The first evaluation information calculation unit 11d can obtain the location and area of ​​the field stored in the basic cultivation information TBL12a, the amount of organic fertilizer applied stored in the fertilizer / compost information TBL12b, the shipping destination stored in the fertilizer analysis information DB12h, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (22) to calculate the predicted value LOG_GHG_FO of greenhouse gas emissions due to the transport of organic fertilizer.

[0137] The predicted value of greenhouse gas emissions from compost transport, LOG_GHG_FC, can be calculated using the following formula (23). LOG_GHG_FC=ΣtFC×A×LOG_FC×ka23 (23) Here, LOG_FC is the compost transport distance, and ka23 is the greenhouse gas emission factor related to compost transport.

[0138] The first evaluation information calculation unit 11d can obtain the location and area of ​​the field stored in the basic cultivation information TBL12a, the amount of compost applied stored in the fertilizer / compost information TBL12b, the shipping destination stored in the compost analysis information DB12i, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (23) to calculate the predicted value of greenhouse gas emissions due to compost transportation, LOG_GHG_FC.

[0139] The predicted value LOG_GHG_FM of greenhouse gas emissions from the transport of animal manure can be calculated using the following formula (24). LOG_GHG_FM=ΣtFM×A×LOG_FM×ka24 (24) Here, LOG_FM is the transport distance of the animal manure, and ka24 is the greenhouse gas emission factor related to the transport of the animal manure.

[0140] The first evaluation information calculation unit 11d can obtain the location and area of ​​the field stored in the basic cultivation information TBL12a, the amount of animal manure applied stored in the fertilizer / compost information TBL12b, the shipping destination stored in the compost analysis information DB12i, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (24) to calculate the predicted value LOG_GHG_FM of greenhouse gas emissions due to the transportation of animal manure.

[0141] The predicted value of greenhouse gas emissions from the transportation of green manure seedlings, LOG_GHG_SED, can be calculated using the following formula (25). LOG_GHG_SED=ΣtSED×A×LOG_SED×ka25 (25) Here, LOG_SED is the transport distance of the green manure seedlings. ka25 is the greenhouse gas emission factor related to the transport of the green manure seedlings.

[0142] The first evaluation information calculation unit 11d can obtain the field location and area stored in the basic cultivation information TBL12a, the seeding rate stored in the green manure information TBL12c, the shipping location stored in the green manure analysis information DB12j, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (25) to calculate the predicted value of greenhouse gas emissions due to seedling transportation, LOG_GHG_SED.

[0143] The predicted value of greenhouse gas emissions from the transportation of plastic materials, LOG_GHG_PLA, can be calculated using the following formula (26). LOG_GHG_PLA=ΣtPLA×A×LOG_PLA×ka26 (26) Here, LOG_PLA is the transport distance of the plastic material, and ka26 is the greenhouse gas emission factor related to the transport of the plastic material.

[0144] The first evaluation information calculation unit 11d can obtain the location and area of ​​the field stored in the basic cultivation information TBL12a, the amount of plastic material used stored in the plastic material information TBL12f, the shipping destination stored in the plastic material analysis information DB12m, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (26) to calculate the predicted value LOG_GHG_PLA of greenhouse gas emissions due to the transportation of plastic materials.

[0145] The predicted greenhouse gas emissions from fuel use, GHG_FU, can be calculated using the following formula (27). GHG_FU =Σt(MCTIMES_FS×DUR×FCM×LtoMJ×Ka27 +MCTIMES_FO×DUR×FCM×LtoMJ×Ka27 +MCTIMES_FC×DUR×FCM×LtoMJ×Ka27 +MCTIMES_FM×DUR×FCM×LtoMJ×Ka27 +MCTIMES_PES×DUR×FCM×LtoMJ×Ka27 +MCTIMES_SED×DUR×FCM×LtoMJ×Ka27 +MCTIMES_TIL×DUR×FCM×LtoMJ×ka27) (27) Here, MCTIMES_FS is the number of times agricultural machinery is used for applying chemical fertilizers. DUR is the working time of agricultural machinery. FCM is the amount of diesel, gasoline, and oil consumed by agricultural machinery per hour. LtoMJ is the amount of heat per unit consumption of diesel, gasoline, and oil. ka27 is the greenhouse gas emission factor related to the combustion of diesel, gasoline, and oil. MCTIMES_FO is the number of times agricultural machinery is used for applying organic fertilizers. MCTIMES_FC is the number of times agricultural machinery is used for applying compost. MCTIMES_FM is the number of times agricultural machinery is used for applying animal manure. MCTIMES_PES is the number of times agricultural machinery is used for spraying pesticides. MCTIMES_SED is the number of times agricultural machinery is used for sowing green manure seeds. MCTIMES_TIL is the number of times agricultural machinery is used for plowing in compost, animal manure, and green manure.

[0146] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the number of times agricultural machinery is used and the usage time stored in the agricultural machinery information TBL12e, the purpose, fuel consumption, and calorific value stored in the agricultural machinery analysis information DB12l, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (27) to calculate the predicted value of greenhouse gas emissions due to fuel use, GHG_FU.

[0147] The predicted value of greenhouse gas emissions (GHG_SOC) associated with changes in soil carbon sequestration can be calculated using the following formula (28). GHG_SOC=Σt(SOC×ka28)×A (28) Here, SOC is the change in soil carbon storage. ka28 is the greenhouse gas emission coefficient related to the change in soil carbon storage.

[0148] The first evaluation information calculation unit 11d obtains the field location stored in the basic cultivation information TBL12a, the application rates of organic fertilizers, compost, and animal manure stored in the fertilizer / compost information TBL12b, the carbon content stored in the fertilizer analysis information DB12h and compost analysis information DB12i, the amount of green manure incorporated into the soil stored in the green manure information TBL12c, and the carbon content stored in the green manure analysis information DB12j, and calculates the change in soil carbon storage (SOC) using a known carbon dynamics model (RothC model, Rothamsted Carbon model). In addition, the first evaluation information calculation unit 11d obtains the field area stored in the basic cultivation information TBL12a and the influence coefficient stored in the coefficient DB12n, and can substitute them into equation (28) to calculate the predicted value of greenhouse gas emissions GHG_SOC associated with the change in soil carbon storage.

[0149] The predicted greenhouse gas emissions from the manufacture and disposal of plastic materials, GHG_PLA, can be calculated using the following formula (29). GHG_PLA=PRD_GHG_PLA +DSP_GHG_PLA (29) Here, PRD_GHG_PLA is the predicted value of greenhouse gas emissions from the manufacture of plastic materials. DSP_GHG_PLA is the predicted value of greenhouse gas emissions from the disposal of plastic materials.

[0150] The estimated greenhouse gas emissions from the manufacture of plastic materials, PRD_GHG_PLA, can be calculated using the following formula (30). PRD_GHG_PLA=Σt(PLA×ka30) / YU (30) Here, PLA represents the amount of plastic material used. ka is the greenhouse gas emission factor related to the manufacture of the plastic material. YU is the number of years the plastic material has been used.

[0151] The first evaluation information calculation unit 11d can obtain the amount of plastic material used and the number of years of use of the plastic material stored in the plastic material information TBL12f, and the influence coefficient stored in the coefficient DB12n, and substitute these into equation (30) to calculate the predicted value of greenhouse gas emissions related to the manufacture of plastic material, PRD_GHG_PLA.

[0152] The predicted value of greenhouse gas emissions from the disposal of plastic materials, DSP_GHG_PLA, can be calculated using the following formula (31). DSP_GHG_PLA=Σt(PLA×ka31) / YU (31) Here, ka31 is the greenhouse gas emission factor related to the disposal of plastic materials.

[0153] The first evaluation information calculation unit 11d can obtain the amount of plastic material used stored in the plastic material information TBL12f and the impact coefficient stored in the coefficient DB12n, and substitute them into equation (31) to calculate the predicted value of greenhouse gas emissions related to the disposal of plastic material, DSP_GHG_PLA.

[0154] The predicted greenhouse gas emissions from residue incineration, GHG_BUR, can be calculated using the following formula (32). GHG_BUR=Σt(BUR×ka32)×A (32) Here, BUR represents the amount of residue incinerated. ka32 is the greenhouse gas emission factor related to residue incineration.

[0155] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the residue incineration information stored in the residue incineration information TBL12g, and the influence coefficient stored in the coefficient DB12n, and substitute them into equation (32) to calculate the predicted value of greenhouse gas emissions related to residue incineration, GHG_BUR.

[0156] The above describes how the first evaluation information calculation unit 11d calculates the greenhouse gas emission index. The first evaluation information calculation unit 11d can calculate the eutrophication index, ozone depletion index, acidification index, urban air pollution index, photochemical oxidant index, hazardous chemical substance (carcinogenicity) index, hazardous chemical substance (chronic) index, aquatic ecotoxicity index, terrestrial ecotoxicity index, land use (maintenance) index, land use (modification) index, and resource consumption index using the same calculation method except for differences in the impact coefficient values.

[0157] Furthermore, the first evaluation information calculation unit 11d can calculate the human health index, social asset index, biodiversity index, and primary production index using the same calculation method, except that it uses a damage coefficient instead of an impact coefficient. Furthermore, the first evaluation information calculation unit 11d can calculate the integrated index by multiplying each of the human health index, social asset index, biodiversity index, and primary production index by a predetermined weighting coefficient (integration coefficient) and calculating the sum.

[0158] <<Regarding the calculation of the total nitrogen leaching index>> Next, we will explain in detail how to calculate the total nitrogen leaching index. The total nitrogen leaching index is the total nitrogen leaching amount, which is the sum of the amounts of nitrogen leached out. The first evaluation information calculation unit 11d calculates the total nitrogen leaching amount using the following formula (33). NLEACH=NLEACH_FS +NLEACH_FO +NLEACH_FC +NLEACH_FM (33) Here, NLEACH_FS is the predicted amount of nitrogen leaching due to the application of chemical fertilizers. NLEACH_FO is the predicted amount of nitrogen leaching due to the application of organic fertilizers. NLEACH_FC is the predicted amount of nitrogen leaching due to the application of compost. NLEACH_FM is the predicted amount of nitrogen leaching due to the application of animal manure. Each of these predicted values ​​is explained below.

[0159] The predicted value NLEACH_FS for nitrogen leaching due to the application of chemical fertilizers can be calculated using the following formula (34). NLEACH_FS=Σt(FSN×NC×FracLEACH)×A (34) Here, FSN is the amount of chemical fertilizer applied. NC is the nitrogen content of the fertilizer. FracLEACH is the percentage of nitrogen leached out of the applied amount. A is the area of ​​the field, and t is the management period during which the crop is cultivated.

[0160] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of chemical fertilizer applied stored in the fertilizer / compost information TBL12b, and the nitrogen content and nitrogen leaching ratio stored in the fertilizer analysis information DB12h, and substitute these into equation (34) to calculate the predicted value NLEACH_FS of nitrogen leaching due to the application of chemical fertilizer.

[0161] The predicted value NLEACH_FO for nitrogen leaching due to the application of organic fertilizer can be calculated using the following formula (35). NLEACH_FO=Σt(FO×NC×FracLEACH)×A (35) Here, FO represents the amount of organic fertilizer applied.

[0162] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of organic fertilizer applied stored in the fertilizer / compost information TBL12b, and the nitrogen content and nitrogen leaching ratio stored in the fertilizer analysis information DB12h, and substitute these into equation (35) to calculate the predicted value NLEACH_FO of nitrogen leaching due to the application of organic fertilizer.

[0163] The predicted value NLEACH_FC for nitrogen leaching due to compost application can be calculated using the following formula (36). NLEACH_FC=Σt(FC×NC×FracLEACH)×A (36) Here, FC represents the amount of compost applied.

[0164] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of compost applied stored in the fertilizer / compost information TBL12b, and the nitrogen content and nitrogen leaching rate stored in the compost analysis information DB12g, and substitute these into equation (36) to calculate the predicted value NLEACH_FC of nitrogen leaching due to compost application.

[0165] The predicted value NLEACH_FM for nitrogen leaching due to the application of animal manure can be calculated using the following formula (37). NLEACH_FM=Σt(FM×NC×FracLEACH)×A (37) Here, FM represents the amount of animal manure applied.

[0166] The first evaluation information calculation unit 11d can obtain the field area stored in the basic cultivation information TBL12a, the amount of animal manure applied stored in the fertilizer / compost information TBL12b, and the nitrogen content and nitrogen leaching ratio stored in the compost analysis information DB12i, and substitute these into equation (37) to calculate the predicted value NLEACH_FM of nitrogen leaching due to the application of animal manure.

[0167] The above describes how the first evaluation information calculation unit 11d calculates the total nitrogen leaching index. The first evaluation information calculation unit 11d can calculate the total phosphorus leaching index using the same calculation method, except that it calculates the amount of phosphorus leached from chemical fertilizers, organic fertilizers, compost, and animal manure, and that the values ​​of the influence coefficients are different.

[0168] The second evaluation information calculation unit 11e calculates second evaluation information that shows the environmental impact of recommended farming practices based on the basic cultivation information and the second farming information. The second evaluation information includes, like the first evaluation information, a greenhouse gas index, a eutrophication index, an ozone depletion index, an acidification index, an urban air pollution index, a photochemical oxidant index, a hazardous chemical substance (carcinogenicity) index, a hazardous chemical substance (chronic) index, an aquatic ecotoxicity index, a terrestrial ecotoxicity index, a land use (maintenance) index, a land use (modification) index, and a resource consumption index. Furthermore, the second assessment information, like the first assessment information, further includes the human health index, social wealth index, biodiversity index, primary production index, and integrated index. Furthermore, the second evaluation information includes the water resource consumption index, the total nitrogen leaching index, and the total phosphorus leaching index.

[0169] The second evaluation information calculation unit 11e calculates the second evaluation information using the same calculation method as the first evaluation information calculation unit 11d, except that it uses the second farming information acquired by the second farming information acquisition unit 11c.

[0170] The environmental assessment information output unit 11f acquires the first assessment information calculated by the first assessment information calculation unit 11d and the second assessment information calculated by the second assessment information calculation unit 11e, and outputs the second assessment information in a state that allows comparison with the first assessment information. The environmental assessment information output unit 11f may also acquire the first and second assessment information by receiving them from an external information processing device via a telecommunications line NW. By outputting the second assessment information in a state that allows comparison with the first assessment information, it is possible to support producers in understanding the impact of agricultural activities on the environment. The environmental assessment information output unit 11f corresponds to the first farming information acquisition means, the second farming information acquisition means, and the environmental assessment information output means of the present invention.

[0171] The environmental evaluation information output unit 11f transmits, but is not limited to, the second evaluation information and the first evaluation information to the producer terminal 30 via the telecommunications line NW. The environmental evaluation information output unit 11f may store the second evaluation information and the first evaluation information in the environmental evaluation server storage device 12. Alternatively, the environmental evaluation information output unit 11f may transmit the second evaluation information to the transaction support server 20. This makes it possible to support commercial transactions between producers and prospective buyers based on the second evaluation information, as will be described later.

[0172] Furthermore, the environmental assessment information output unit 11f outputs the improvement assessment information calculated by the improvement assessment information calculation unit 11g (described later) along with improvement guidance information obtained based on at least one of the first assessment information and the second assessment information. Specifically, the environmental assessment information output unit 11f may calculate the number of cedar trees that can absorb an amount equivalent to the greenhouse gas emissions from the first and second assessment information in one year, and display this as improvement guidance information. This makes it possible for producers to easily understand the progress of environmental improvement.

[0173] The improvement evaluation information calculation unit 11g calculates improvement evaluation information by determining the difference or ratio between the second evaluation information and the first evaluation information. In other words, the improvement evaluation information calculation unit 11g generates information indicating the extent to which the recommended farming practices can reduce the environmental impact of standard farming practices. Furthermore, the improvement evaluation information calculation unit 11g may calculate the degree of achievement against a predetermined target value aimed at reducing the impact on the environment based on the first evaluation information and the second evaluation information, and use this as improvement evaluation information. The improvement evaluation information calculation unit 11g corresponds to the improvement evaluation information calculation means of the present invention.

[0174] Furthermore, the improvement evaluation information calculation unit 11g may calculate cumulative improvement evaluation information by accumulating and adding up improvement evaluation information over multiple cultivation periods. This makes it possible to evaluate the impact of farming activities over multiple cultivation periods on the environment from a long-term perspective.

[0175] <Functional Configuration of Transaction Support Server 20> Next, the functional configuration of the transaction support server 20 will be described with reference to Figures 7 and 8. As described above, the transaction support server 20 is a server device that supports commercial transactions based on environmental assessment information. Specifically, the transaction support server 20 supports commercial transactions of carbon credits, in which the reduction amount of CO2 equivalent included in the environmental assessment information is the subject of transaction (corresponding to greenhouse gas commercial transactions in the present invention, in which the reduction amount of greenhouse gas emissions or the amount of greenhouse gas absorption is the subject of transaction). Figure 7 shows the functional configuration of the trading support server 20. As shown in Figure 7, the trading support server 20 mainly consists of a trading support server control device 21 that controls the trading support server 20 and a trading support server storage device 22.

[0176] The transaction support server storage device 22 is a non-volatile auxiliary storage device consisting of an HDD or SSD, etc. The transaction support server storage device 22 stores the registrant information DB 22a and the sales request information DB 22b. The transaction support server storage device 22 also stores the transaction support program 22c executed by the transaction support server control device 21. The transaction support server storage device 22 may also store history information of completed commercial transactions.

[0177] The registrant information DB22a stores registration information of users (sellers and buyers of carbon credits) who wish to trade carbon credits via the transaction support server 20. The registrant information DB22a is updated when the transaction support server 20 receives registration information from the producer terminal 30 or the buyer terminal 40. Figure 8A shows an example of the data structure of the registrant information DB22a. As shown in Figure 8A, the registrant information DB22a stores records that have fields for user ID, name, address, contact information, and registration date. However, it is not limited to this, and the registrant information DB22a may also store information about payment methods used when conducting commercial transactions (for example, information about credit cards).

[0178] The User ID is an identifiable identifier that can identify a registered user, and it stores alphanumeric characters. The Name may be the name of an individual wishing to conduct business transactions, or it may be the name of a corporation or organization. The address and contact information are the registered user's physical address and email address. However, it is not limited to this; other information necessary to contact the user, such as a telephone number, may also be stored. The registration date is date information that identifies the year, month, and year the user registered. In addition, historical information regarding past commercial transactions may be stored along with the registration date.

[0179] The sales request information DB22b stores sales request information that includes information that can identify the prospective seller and environmental assessment information. The sales request information DB22b is updated when sales request information is received from the producer terminal 30 and when a commercial transaction is completed. Figure 8B shows an example of the data structure of the sales request information DB22b. As shown in Figure 8B, the sales request information DB22b stores records that have the following items: project ID, implementer, implementation area, overview, available quantity for sale, desired price, eutrophication, biodiversity, and primary production. However, without limitation, the sales request information DB22b may further have the following items: ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenic), hazardous chemicals (chronic), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), human health, social assets, integration, water resource consumption, total nitrogen leaching, and total phosphorus leaching.

[0180] The Project ID is an identifiable identifier for projects implemented for environmental protection purposes, and it stores alphanumeric characters. The Implementer is the name of the individual, corporation, or organization implementing the project, and it is information that can identify potential sellers who wish to conduct commercial transactions. The Implementer may also store a User ID. The implementation area stores, but is not limited to, the address of the location where the project will be implemented. It may also store the latitude and longitude of the location where the project will be implemented. The summary stores information about the project outline, project type, or project objectives.

[0181] The "Available for Sale" is identifiable information regarding the weight of carbon credits (CO2 equivalents) that become available for sale as a result of the project's implementation. The "Desired Price" is the price set by the seller for which they wish to trade the carbon credits. Eutrophication, biodiversity, and primary production are environmental assessment information calculated by the environmental assessment server 10, but are not limited to these. They may also be assessment values ​​evaluated by an external information processing device.

[0182] Returning to Figure 7, the transaction support program 22c is executed by the transaction support server control device 21 and is a program that performs transaction support processing as described later, referring to Figure 11. The transaction support program 22c corresponds to the commercial transaction support program of the present invention.

[0183] The transaction support server control device 21 has a CPU, volatile memory, and non-volatile memory, and is a control circuit that controls the transaction support server 20. The CPU of the transaction support server control device 21 loads the transaction support program 22c stored in the transaction support server storage device 22 into the volatile memory and executes it. As a result, the transaction support server control device 21 functions as a registration information receiving unit 21a, a sales request information acquisition unit 21b, a sales request information output unit 21c, an inquiry request information acquisition unit 21d, and an inquiry request information notification unit 21e. The transaction support server 20 corresponds to the commercial transaction support device of the present invention, and the transaction support server control device 21 corresponds to the computer of the commercial transaction support device.

[0184] The registration information receiving unit 21a receives registration information from users who wish to trade carbon credits. More specifically, the registration information receiving unit 21a receives registrant information entered via an information and communication terminal used by persons who wish to sell or buy carbon credits, via a telecommunications line NW. The received registrant information is stored in the registrant information DB 22a.

[0185] The sales request information acquisition unit 21b acquires environmental assessment information output by the environmental assessment server 10 and sales request information including sales request information that can identify sales requesters of carbon credits. The sales request information acquisition unit 21b can acquire sales request information from producer terminals 30 via telecommunications lines NW, but is not limited to this. The sales request information acquisition unit 21b may also acquire sales request information from the environmental assessment server 10. The acquired sales request information is stored in the sales request information DB 22b. The sales request information acquisition unit 21b corresponds to the sales request information acquisition means of the present invention.

[0186] The sales request information output unit 21c transmits the sales request information stored in the sales request information DB 22b to the buyer terminal 40. The transmitted sales request information is displayed on the sales request list output screen 41, which is output to the display device of the buyer terminal 40. Details of the sales request list output screen 41 will be described later with reference to Figure 12. The sales request information output unit 21c corresponds to the sales request information output means of the present invention.

[0187] The inquiry request information acquisition unit 21d receives inquiry request information that includes information that can identify the carbon credits that the prospective buyer wishes to purchase, and prospective buyer information that can identify the prospective buyer. The inquiry request information acquisition unit 21d acquires inquiry request information by receiving inquiry request information from the buyer terminal 40. The inquiry request information corresponds to the purchase request information of the present invention, and the inquiry request information acquisition unit 21d corresponds to the purchase request information receiving means of the present invention.

[0188] The inquiry request information notification unit 21e transmits the inquiry request information acquired by the inquiry request information acquisition unit 21d to the producer terminal 30. The inquiry request information notification unit 21e notifies the producer terminal 30 of the inquiry request information by sending an email to the email address stored in the registrant information DB 22a, but is not limited to this. The inquiry request information notification unit 21e may also transmit the inquiry request information to the producer terminal 30 by a notification means other than email (e.g., push notification). The inquiry request information notification unit 21e corresponds to the purchase request information notification means of the present invention.

[0189] <Producer terminal 30> Next, the producer terminal 30 will be described. The producer terminal 30 mainly consists of a control device that manages the producer terminal 30 and a memory device. The control device of the producer terminal 30 has a CPU, volatile memory, and non-volatile memory, and various functions are realized by loading programs stored in the storage device into the volatile memory and executing them.

[0190] Specifically, the control device of the producer terminal 30 functions as a means for receiving basic cultivation information, which is used to receive input of basic cultivation information. The received basic cultivation information is transmitted to the environmental evaluation server 10. Furthermore, the control device of the producer terminal 30 functions as a second farming information receiving means that receives input of second farming information, which is recommended farming information. The received second farming information is transmitted to the environmental evaluation server 10.

[0191] Furthermore, the control device of the producer terminal 30 functions as a means for receiving sales request information that accepts input of sales request information for carbon credits. The received sales request information is transmitted to the transaction support server 20. Furthermore, the control device of the producer terminal 30 functions as an inquiry request notification receiving means for receiving inquiry request notifications transmitted by the transaction support server 20. The producer terminal 30 corresponds to the seller request terminal of the present invention.

[0192] <Purchaser's device 40> Next, the buyer terminal 40 will be described. The buyer terminal 40 mainly consists of a control unit that manages the buyer terminal 40 and a memory device. The control unit of the purchaser terminal 40 has a CPU, volatile memory, and non-volatile memory, and various functions are realized by loading programs stored in the storage device into the volatile memory and executing them.

[0193] Specifically, the control device of the purchaser terminal 40 functions as a means for acquiring sales wish information that transmits an acquisition request for sales wish information to the transaction support server 20 and receives the sales wish information from the transaction support server 20. The acquired sales wish information is displayed on the sales wish list output screen 41 (see FIG. 12). Also, the control device of the purchaser terminal 40 functions as a means for receiving an input of inquiry wish information by a purchaser who wishes to make an inquiry. The received inquiry wish information is transmitted to the transaction support server 20.

[0194] <Administrator terminal 50> Next, the administrator terminal 50 will be described. The administrator terminal 50 mainly includes a control device that controls the administrator terminal 50 and a storage device. The control device of the administrator terminal 50 has a CPU, a volatile memory, and a non-volatile memory, and realizes various functions by loading and executing the program stored in the storage device into the volatile memory.

[0195] Specifically, the control device of the administrator terminal 50 functions as a means for receiving the registration of standard farming information stored in the environmental evaluation server storage device 12. Also, the control device of the administrator terminal 50 functions as a means for receiving registration information of the fertilizer analysis information DB12h, compost analysis information DB12i, green manure analysis information DB12j, pesticide analysis information DB12k, agricultural machinery analysis information DB12l, and plastic material analysis information DB12m stored in the environmental evaluation server storage device 12. Also, the control device of the administrator terminal 50 functions as a means for receiving registration information of the coefficient DB12n stored in the environmental evaluation server storage device 12.

[0196] <Flow of environmental evaluation process> Next, the environmental evaluation process executed by the environmental evaluation server control device 11 of the environmental evaluation server 10 will be described. The environmental evaluation process is executed when the environmental evaluation process execution request is received from the producer terminal 30.

[0197] Figure 9 shows the flow of the environmental evaluation process. As shown in Figure 9, the environmental evaluation server control device 11 first acquires cultivation basic information (step S11). More specifically, the environmental evaluation server control device 11 acquires information regarding the agricultural crops cultivated by the producer and the location and area of the fields where the agricultural crops are cultivated. The environmental evaluation server control device 11 acquires the cultivation basic information from the producer terminal 30 via the cultivation basic information TBL12a or the telecommunication line NW.

[0198] Next, the environmental evaluation server control device 11 acquires first farming information (step S12). More specifically, the environmental evaluation server control device 11 acquires standard first farming information regarding the application of fertilizers, composts, and green manures and the spraying of agricultural chemicals. The environmental evaluation server control device 11 acquires the first farming information by reading it from the fertilizer / compost information TBL12b, the green manure information TBL12c, and the agricultural chemical information TBL12d. Further, the environmental evaluation server control device 11 may acquire information regarding the use of agricultural machinery in standard farming from the agricultural machinery information TBL12e. Further, the environmental evaluation server control device 11 may acquire information regarding the use of plastic materials in standard farming from the plastic material information TBL12f. Further, the environmental evaluation server control device 11 may acquire information regarding residue incineration in standard farming from the residue incineration information TBL12g.

[0199] Next, the environmental assessment server control device 11 acquires second farming information (step S13). More specifically, the environmental assessment server control device 11 acquires second farming information recommended for the application of fertilizers, compost, and green manure, as well as the spraying of pesticides. The environmental assessment server control device 11 can acquire this information by reading it from the fertilizer / compost information TBL12b, the green manure information TBL12c, and the pesticide information TBL12d. Alternatively, the environmental assessment server control device 11 may acquire second farming information from the producer terminal 30 via a telecommunications line NW. The environmental assessment server control device 11 may also acquire information regarding the use of agricultural machinery in recommended farming practices from the agricultural machinery information TBL12e. Furthermore, the environmental assessment server control device 11 may acquire information regarding the use of plastic materials in recommended farming practices from the plastic materials information TBL12f. In addition, the environmental assessment server control device 11 may acquire information regarding residue incineration from the residue incineration information TBL12g.

[0200] Next, the environmental assessment server control device 11 calculates first environmental assessment information showing the impact of standard farming on the environment based on the basic cultivation information and first farming information (step S14). More specifically, the environmental assessment server control device 11 accesses the coefficient DB12n to obtain impact coefficients and performs sum-of-products calculations from equations (1) to (32) to calculate the greenhouse gas index, eutrophication index, ozone depletion index, acidification index, urban air pollution index, photochemical oxidant index, hazardous chemical substance (carcinogenicity) index, hazardous chemical substance (chronic) index, aquatic ecotoxicity index, terrestrial ecotoxicity index, land use (maintenance) index, land use (modification) index, and resource consumption index related to standard farming. Furthermore, the environmental evaluation server control device 11 can calculate the total nitrogen leaching index and the total phosphorus leaching index for standard farming practices by performing the sum-of-products calculation from equation (33) to equation (37).

[0201] Furthermore, the environmental assessment server control device 11 can access the coefficient DB12n to obtain damage coefficients and perform sum-of-products calculations similar to those in equations (1) to (32) to calculate the human health index, social asset index, biodiversity index, and primary production index related to standard farming practices. Furthermore, the environmental assessment server control device 11 can access the coefficient DB12n to obtain weighting coefficients, and calculate the integrated index by multiplying each of the human health index, social asset index, biodiversity index, and primary production index by the weighting coefficients and then calculating the sum.

[0202] Next, the environmental assessment server control device 11 calculates second environmental assessment information that shows the impact of recommended farming practices on the environment based on the basic cultivation information and the second farming information (step S15). More specifically, the environmental assessment server control device 11 accesses the coefficient DB12n to obtain the impact coefficients and performs sum-of-products calculations from equations (1) to (32) to calculate the greenhouse gas index, eutrophication index, ozone depletion index, acidification index, urban air pollution index, photochemical oxidant index, hazardous chemical substance (carcinogenicity) index, hazardous chemical substance (chronic) index, aquatic ecotoxicity index, terrestrial ecotoxicity index, land use (maintenance) index, land use (modification) index, and resource consumption index related to recommended farming practices. Furthermore, the environmental evaluation server control device 11 can calculate the recommended total nitrogen leaching index and total phosphorus leaching index for farming by performing the sum-of-products calculation from equation (33) to equation (37).

[0203] Furthermore, the environmental assessment server control device 11 can access the coefficient DB12n to obtain damage coefficients and perform sum-of-products calculations similar to those in equations (1) to (32) to calculate the recommended human health index, social asset index, biodiversity index, and primary production index related to farming. Furthermore, the environmental assessment server control device 11 can access the coefficient DB12n to obtain weighting coefficients, and calculate the integrated index by multiplying each of the human health index, social asset index, biodiversity index, and primary production index by the weighting coefficients and then calculating the sum.

[0204] Finally, the environmental evaluation server control device 11 outputs the second evaluation information and the first evaluation information in a comparable state (step S16). More specifically, the environmental evaluation server control device 11 displays the second evaluation information and the first evaluation information on the evaluation result output screen 31 of the producer terminal 30 and terminates the environmental evaluation process. The evaluation result output screen 31 will be described in detail below.

[0205] Figure 10 shows an example of the evaluation result output screen 31. As shown in Figure 10, the evaluation result output screen 31 has a basic cultivation information display area 32, a project evaluation result display area 33, and an evaluation result comparison display area 34. The cultivation basic information display area 32 displays basic information about the producer and the field.

[0206] The project evaluation result display area 33 displays the second evaluation information calculated by the environmental evaluation server 10 for each cultivation period. In addition, the evaluation result comparison display area 34 displays the difference between the second evaluation information and the first evaluation information as improvement evaluation information.

[0207] In Figure 10, climate change, eutrophication, biodiversity, primary production, and water resource consumption are displayed, but the displayed items are not limited to these. Displayed items may include ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenic), hazardous chemicals (chronic), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), resource consumption, human health, social assets, integration, total nitrogen leaching, and total phosphorus leaching. Alternatively, the displayed items may include climate change and at least one of eutrophication, ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenic), hazardous chemicals (chronic), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), resource consumption, human health, social assets, biodiversity, primary production, integration, total nitrogen leaching, and total phosphorus leaching. Furthermore, the displayed items may be set by the producer or manager.

[0208] Furthermore, while Figure 10 shows environmental assessment information for the three years 2021, 2022, and 2023, it is not limited to this. Environmental assessment information for one year may also be output, or for four years or more. When environmental assessment information is output for multiple years, the evaluation result comparison display area 34 displays cumulative improvement assessment information, which is the sum of improvement assessment information for multiple cultivation periods, as a total value. Therefore, producers can evaluate the impact of their farming practices on the environment from a long-term perspective.

[0209] Furthermore, the evaluation result comparison display area 34 may also output improvement guidance information to support the understanding of the improvement evaluation information. Improvement guidance information is supplementary guidance information to help understand the extent to which the impact of farming on the environment will be improved. With improvement guidance information, even producers without specialized knowledge can easily understand the impact of farming on the environment.

[0210] Furthermore, although Figure 10 describes the evaluation result output screen 31 as having a project evaluation result display area 33 and an evaluation result comparison display area 34, it is not limited to this. The evaluation result output screen 31 may further have a display area for displaying the first evaluation information. In this case, the first evaluation information and the second evaluation information are output as is. By directly recognizing the first evaluation information and the second comparison information, producers can easily grasp the effectiveness of the recommended farming project.

[0211] Furthermore, the evaluation result output screen 31 may further have a display area that shows the degree of achievement against pre-set targets. By recognizing the degree of target achievement, producers can grasp the effectiveness of the recommended farming project.

[0212] <Transaction support processing flow> Next, we will describe the transaction support processing performed by the transaction support server control device 21 of the transaction support server 20. In the following description, we will assume that the sales request information is stored in the sales request information DB 22b prior to the execution of the transaction support processing.

[0213] Figure 11 shows the flow of the transaction support process. As shown in Figure 11, the transaction support server control device 21 first determines whether it has received a request for obtaining sales wish information from the purchaser terminal 40 (step S21). Specifically, the transaction support server control device 21 determines whether it has received a request signal for obtaining sales wish information transmitted by the purchaser terminal 40 via the telecommunication line NW. If it is determined that the sales wish list acquisition request has not been received (step S21: No), the transaction support server control device 21 waits until a request for obtaining sales wish information is received.

[0214] If it is determined that a request for obtaining sales wish information has been received (step S21: Yes), the transaction support server control device 21 transmits the sales wish information to the purchaser terminal 40 (step S22). More specifically, the transaction support server control device 21 acquires the sales wish information stored in the sales wish information DB 22b and transmits it to the purchaser terminal 40 via the telecommunication line NW. The transmitted sales wish list is displayed on the sales wish list output screen 41 of the purchaser terminal 40. Here, the sales wish list output screen 41 will be described.

[0215] Figure 12 shows an example of the sales wish list output screen 41. As shown in Figure 12, the sales wish list output screen 41 has a search condition input area 42, a search button 43, a sales wish list display area 44, and an inquiry button 45. The search condition input area 42 can input a search target string. By inputting a search target string in the search condition input area 42 and pressing the search button 43, a purchaser who uses the purchaser terminal 40 can narrow down the sales wish information displayed in the sales wish list display area 44.

[0216] The sales request list display area 44 displays sales request information for carbon credits entered by the seller. The sales request information includes the following items: identification number, project implementer who is the seller, project overview, available CO2 equivalent amount for sale, desired price, and environmental assessment information. However, the sales request information may also include items related to the project implementer's contact information, although it is not limited to these. Also, in Figure 12, the environmental assessment information displays the assessment results for eutrophication, biodiversity, primary production, and water resource consumption, but it is not limited to these. The environmental assessment information may also include ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenic), hazardous chemicals (chronic), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), resource consumption, human health, social assets, integration, total nitrogen leaching, and total phosphorus leaching. Furthermore, the assessment results displayed in the environmental assessment information may be set by the buyer. Furthermore, while the trading support server 20 handles CO2 equivalents as trading targets, it does not handle eutrophication, biodiversity, primary production, and water resource consumption, which are displayed in the environmental assessment information, as trading targets. In other words, the environmental assessment information is reference information used in commercial transactions involving carbon credits.

[0217] Prospective buyers can select the carbon credits they wish to purchase by viewing the sales request list display area 44. Furthermore, by viewing the environmental assessment information, prospective buyers can comprehensively evaluate the environmental impact of agricultural activities, gain a correct understanding of the environmental impact, and then select appropriate purchase targets.

[0218] Returning to Figure 11, the transaction support server control device 21 determines whether or not the inquiry button 45 on the sales request list output screen 41 has been pressed (step S23). If it is determined that the inquiry button 45 has not been pressed (step S23: No), the transaction support server control device 21 waits until the inquiry button 45 is pressed.

[0219] If it is determined that the inquiry button 45 has been pressed (step S23: Yes), the transaction support server control device 21 sends inquiry request information, including the identification number of the selected sales request information (corresponding to sales request identification information) and the user ID of the prospective buyer, to the producer terminal 30 for notification (step S24). The inquiry request information may also include inquiry information regarding the project. Furthermore, the inquiry request information may also include information regarding the desire to purchase carbon credits. The inquiry request information corresponds to the purchase request information of the present invention. This completes the transaction support processing performed by the transaction support server control device 21, but the transaction support server control device 21 may further perform processing necessary for settlement.

[0220] Through the above transaction support process, prospective buyers can communicate their intention to purchase carbon credits to prospective sellers by submitting inquiry information. Environmental assessment information includes, along with CO2 equivalent emissions, at least one of the following: eutrophication, ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenic), hazardous chemicals (chronic), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), resource consumption, human health, social assets, biodiversity, primary production integration, water resource consumption, total nitrogen leaching, and total phosphorus leaching. Therefore, it becomes possible to comprehensively evaluate the impact of agricultural activities on the environment and select purchase targets with a correct understanding of the impact of agricultural activities on the environment.

[0221] Although an environmental assessment system 1 according to one embodiment of the present invention has been described, the above-described embodiment is merely an example to facilitate understanding of the present invention and does not limit the present invention. That is, the present invention can be modified and improved without departing from its spirit, and of course, the present invention includes equivalents thereof. The commercial transactions in the embodiments described above were explained as trading carbon credits while excluding, but are not limited to, eutrophication, ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenic), hazardous chemicals (chronic), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), resource consumption, human health, social assets, biodiversity, primary production integration, water resource consumption, total nitrogen leaching, and total phosphorus leaching. Commercial transactions may include these as subjects of trade along with carbon credits.

[0222] <Variation> Figure 13 shows an example of a sales request list output screen 41A output by the transaction support server 20 in a modified example. As shown in Figure 13, the sales request list output screen 41A has a search condition input area 42, a search button 43, a sales request list display area 44A, and an inquiry button 45.

[0223] Sales request list display area 44A displays sales request information. The sales request information includes the following items: identification number, project implementer, project overview, available CO2 equivalent, desired price for CO2 equivalent, available phosphate ion equivalent, desired price for phosphate ion equivalent, and environmental assessment information. The environmental assessment information displays, but is not limited to, the assessment results for biodiversity, primary production, and water resource consumption.

[0224] The modified trading support server 20 will trade CO2 equivalents and phosphate ion equivalents as credits. However, without limitation, the trading support server 20 may also trade environmental assessment results for ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenic), hazardous chemicals (chronic), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), resource consumption, human health, social assets, biodiversity, primary production integration, water resource consumption, total nitrogen leaching, and total phosphorus leaching. In this way, by trading environmental assessment results other than CO2 equivalents as credits along with CO2 equivalents, it becomes possible to establish broader and more flexible commercial transactions regarding the environment and to promote the protection of the global environment more actively.

[0225] In the embodiments described above, the environmental assessment system 1 was described as being implemented by a distributed system consisting of client devices and server devices, but it is not limited to this. The functions of the environmental assessment server 10 described above may also be implemented by a standalone information processing device. For example, by implementing a program that implements the functions of the environmental assessment server 10 on the producer terminal 30, a part of the environmental assessment system 1 can be implemented by a standalone system. This makes it possible to evaluate the impact of agricultural activities on the environment without being affected by the communication quality of the telecommunications line NW.

[0226] Furthermore, although the first farming information acquisition unit 11b and the second farming information acquisition unit 11c were described in the above-described embodiment as acquiring fuel consumption information related to fuel consumption, they are not limited to this. The first farming information acquisition unit 11b and the second farming information acquisition unit 11c may also acquire power consumption information related to power consumption. In this case, the agricultural machinery analysis information DB 12l stores power consumption information together with fuel consumption information. [Explanation of Symbols]

[0227] 1. Environmental Assessment System 10. Environmental evaluation server 11. Environmental evaluation server control device 11a Basic cultivation information acquisition department 11b First Agricultural Information Acquisition Department 11c Second Agricultural Information Acquisition Department 11d First Evaluation Information Calculation Unit 11e Second Evaluation Information Calculation Unit 11f Environmental assessment information output unit (first farming information acquisition means, second farming information acquisition means, environmental assessment information output means) 11g Improvement evaluation information calculation unit (improvement evaluation information calculation means) 12. Environmental Evaluation Server Storage Device 12a Basic cultivation information TBL 12b Fertilizer / compost information TBL 12c Green Manure Information TBL 12d Pesticide Information TBL 12e Agricultural machinery information TBL 12f Plastic Materials Information TBL 12g Residue Incineration Information TBL 12h Fertilizer analysis information DB 12i Compost analysis information DB 12j Green Manure Analysis Information Database 12k Pesticide Analysis Information Database 12l Agricultural machinery analysis information DB 12m Plastic Material Analysis Information Database 12n coefficient DB 12o Environmental Assessment Program 20 Transaction support server 21 Transaction support server control unit 21a Registration Information Reception Department 21b Sales Request Information Acquisition Unit (Sales Request Information Acquisition Means) 21c Sales Request Information Output Unit (Sales Request Information Output Means) 21d Inquiry Request Information Acquisition Unit (Purchase Request Information Acquisition Method) 21e Inquiry Request Information Notification Section (Purchase Request Information Notification Method) 22 Transaction support server storage 22a Registered User Information Database 22b Sales Request Information Database 22c Transaction Support Program (Commercial Transaction Support Program) 30 Producer terminals (seller terminals) 31. Environmental Assessment Information Output Screen 32 Basic cultivation information display area 33. Project evaluation results display area 34. Evaluation Result Comparison Display Area 40 Purchaser's device 41, 41A Sales Request List Output Screen 42 Search criteria input area 43 Search button 44, 44A Sales Request List Display Area 45 Inquiry button 50 Administrator terminals NW (Network) Telecommunication Lines

Claims

1. A computer for a commercial transaction support device that assists in greenhouse gas trade, where the amount of greenhouse gas emission reduction or greenhouse gas absorption is the subject of commercial transactions. Sales prospect information acquisition means for acquiring sales prospect information including field information that can identify the location and area of ​​a field and the crops cultivated in the field, farming information that relates to the application of fertilizers and compost and the spraying of pesticides used in the cultivation of the crops in the field, environmental assessment information calculated based on these, and sales prospect information that can identify the sellers of the greenhouse gas trading transaction. A sales request information output means that outputs the sales request information acquired by the sales request information acquisition means to a purchaser terminal used by a prospective buyer of greenhouse gas trading. Purchase request information receiving means that receives purchase request information from the purchaser terminal, including sales request identification information that can identify the sales request information and purchaser information that can identify the purchaser. The aforementioned purchase request information is to be used as a purchase request information notification means to notify the seller's terminal used by the seller, The aforementioned environmental assessment information includes a greenhouse gas index showing the amount of greenhouse gas emissions associated with farming, a eutrophication index showing the impact of farming on eutrophication, an ozone depletion index showing the impact of farming on ozone layer depletion, an acidification index showing the impact of farming on acidification, an urban air pollution index showing the impact of farming on urban air pollution, a photochemical oxidant index showing the impact of farming on photochemical oxidants, a hazardous chemical (carcinogenic) index showing the impact of hazardous chemicals (carcinogenic) associated with farming, a hazardous chemical (chronic) index showing the impact of hazardous chemicals (chronic) associated with farming, an aquatic ecotoxicity index showing the impact of farming on aquatic ecotoxicity, and a terrestrial ecotoxicity index showing the impact of farming on terrestrial ecotoxicity. It includes at least one of the following: a bio-ecotoxicity index, a land-use (maintenance) index showing the impact of the farming on land use (maintenance), a land-use (modification) index showing the impact of the farming on land use (modification), a resource consumption index showing the impact of the farming on resource consumption, a human health index showing the impact of the farming on human health, a social asset index showing the impact of the farming on social assets, a biodiversity index showing the impact of the farming on biodiversity, a primary production index showing the impact of the farming on primary production, an integrated index showing the overall impact of the farming on the environment, a water resource consumption index showing the amount of water resource consumption associated with the farming, a total nitrogen leaching index showing the amount of total nitrogen leaching associated with the farming, and a total phosphorus leaching index showing the amount of total phosphorus leaching associated with the farming. Based on the aforementioned field information and the first farming information, which is pre-registered via the administrator terminal used by the administrator of the environmental assessment device as farming information regarding the application of fertilizers, compost, and green manure, and the spraying of pesticides in the area where the crops are cultivated, the first assessment information is calculated to show the impact of the farming related to the registered first farming information on the environment, A commercial transaction support program characterized by being able to compare the aforementioned field information with second environmental assessment information, which is calculated based on the aforementioned field information and second environmental assessment information, which indicates the impact of the agricultural activities carried out by the producer on the environment. This second environmental assessment information is input via a producer terminal used by the producer as farming information regarding the application of fertilizers and compost and the spraying of pesticides used by the producer in cultivating the crops in the aforementioned field, and is different from the first environmental assessment information.

2. The commercial transaction support program according to claim 1, characterized in that the commercial transaction does not include the following as the subject of the transaction: the impact of farming on eutrophication, the impact of farming on ozone layer depletion, the impact of farming on acidification, the impact of farming on urban air pollution, the impact of farming on photochemical oxidants, the impact of harmful chemical substances (carcinogenic) associated with farming, the impact of harmful chemical substances (chronic) associated with farming, the impact of farming on aquatic ecotoxicity, the impact of farming on terrestrial ecotoxicity, the impact of farming on land use (maintenance), the impact of farming on land use (modification), the impact of farming on resource consumption, the impact of farming on human health, the impact of farming on social assets, the impact of farming on biodiversity, the impact of farming on primary production, the overall impact of farming on the environment, the amount of water resources consumed associated with farming, the total nitrogen leaching index indicating the total amount of nitrogen leaching associated with farming, and the total amount of phosphorus leaching associated with farming.

3. The commercial transaction support program according to claim 1 is characterized in that the commercial transaction includes as the subject of the transaction at least one of the following: the impact of farming on eutrophication, the impact of farming on ozone layer depletion, the impact of farming on acidification, the impact of farming on urban air pollution, the impact of farming on photochemical oxidants, the impact of harmful chemical substances (carcinogenic) associated with farming, the impact of harmful chemical substances (chronic) associated with farming, the impact of farming on aquatic ecotoxicity, the impact of farming on terrestrial ecotoxicity, the impact of farming on land use (maintenance), the impact of farming on land use (modification), the impact of farming on resource consumption, the impact of farming on human health, the impact of farming on social assets, the impact of farming on biodiversity, the impact of farming on primary production, the overall impact of farming on the environment, the amount of water resources consumed associated with farming, the total nitrogen leaching index indicating the total amount of nitrogen leaching associated with farming, and the total amount of phosphorus leaching associated with farming.

4. A commercial transaction support device equipped with the aforementioned computer, A commercial transaction support device that causes the computer to execute the commercial transaction support program according to any one of claims 1 to 3.

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