Environmental assessment program and environmental assessment device

Abstract

Provided are an environmental assessment program, an environmental assessment device, a business transaction support program, and a business transaction support device that can comprehensively assess the impact of agricultural activities on the environment and support farmers in selecting appropriate agricultural activities. [Solution] The environmental assessment program causes the computer of an environmental assessment device that assesses the impact of agricultural activities on the environment to function as: a first farming information acquisition means that acquires first evaluation information that indicates the impact of standard farming on the environment, calculated based on basic cultivation information that can identify the crops to be cultivated and the fields where the crops are cultivated, and first farming information related to standard farming; a second farming information acquisition means that acquires second evaluation information that is calculated based on the basic cultivation information and second farming information related to recommended farming, and indicates the impact of the recommended farming on the environment; and an environmental assessment information output means that outputs the second evaluation information in a state that can be compared with the first evaluation information.

Description

[Technical Field]

[0001] The present invention relates to an environmental assessment program and an environmental assessment device, as well as a commercial transaction support program and a commercial transaction support device that support commercial transactions based on environmental assessment information, and in particular to an environmental assessment program and an environmental assessment device that evaluate the impact of agricultural activities on the environment, as well as a commercial transaction support program and a commercial transaction support device that support commercial transactions based on environmental assessment information. [Background technology]

[0002] With the rise in awareness of environmental protection, there has been a push to develop products that place less strain on the environment. Furthermore, life cycle assessment has become widespread as a method for properly assessing the environmental impact of these developed products. Life cycle assessment is an assessment method that can evaluate the environmental impact of the entire life cycle of a product, from the procurement of raw materials to manufacturing, transportation, and disposal, as is often said to be "from cradle to grave." Patent Document 1 discloses an environmental load simulation device that centrally manages products made up of many different raw materials and evaluates the environmental load of the products based on the amount of greenhouse gas emissions generated over the product's life cycle.

[0003] Furthermore, in order to realize a sustainable society, an emissions reduction trading market has been formed in which greenhouse gas reduction amounts are traded commercially, and efforts are being made to reduce greenhouse gases more effectively by revitalizing trading. Patent Document 2 discloses an emissions trading intermediation system that enables greenhouse gases emitted by individual households to be traded in an emissions reduction trading market. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2011-204217 [Patent Document 2] Japanese Patent Publication No. 2023-103801 Summary of the Invention [Problem to be solved by the invention]

[0005] The technologies disclosed in Patent Documents 1 and 2 make it possible to assess greenhouse gas emissions over the entire life cycle and promote commercial transactions based on the assessment results, thereby reducing greenhouse gas emissions. However, the following problem has been pointed out. The environmental impact of human industrial activities is wide-ranging, and extends beyond global warming to include biodiversity in ecosystems and eutrophication in water systems such as oceans, lakes, and rivers. Therefore, there has been a problem in that simply assessing the amount of greenhouse gas reduction does not allow for an accurate assessment of the environmental impact of human industrial activities.

[0006] Furthermore, life cycle assessment is not limited to assessing the environmental impact of industrial manufacturing. In recent years, there has been a growing demand for a proper assessment of the environmental impact of agricultural activities in particular. In addition, it is not easy for farmers to select optimal agricultural activities based on a correct understanding of environmental impacts.

[0007] Therefore, the present invention has been made in consideration of the above-mentioned problems, and its purpose is to provide an environmental assessment program, an environmental assessment device, a business transaction support program, and a business transaction support device that can comprehensively assess the impact of agricultural activities on the environment and assist in selecting appropriate agricultural activities after correctly understanding the impact of agricultural activities on the environment. [Means for solving the problem]

[0008] According to the environmental assessment program of the present invention, the above-mentioned problem is solved by configuring a computer of an environmental assessment device that evaluates the impact of agricultural activities on the environment, Field information that can identify the location and area of ​​the field and the crops cultivated in the field; , Used in areas where the above crops are grown Regarding the application of fertilizers, compost, and green manures and the spraying of pesticides The farming information is registered in advance via the manager terminal used by the manager of the environmental evaluation device. Calculated based on the first farming information, The registered first farming informationa first farming information acquisition means for acquiring first evaluation information indicating the impact of farming on the environment; field Information and Producers engaged in agricultural activities In the field Used in the cultivation of the above crops Regarding the application of fertilizers, compost, and green manures and the application of pesticides The farming information to be used is input via a producer terminal used by the producer, and is different from the first farming information. The second farming information is calculated based on the carried out by producers The second farming information acquisition means acquires second evaluation information that indicates the impact of farming on the environment, and the second evaluation information output means outputs the second evaluation information in a state that can be compared with the first evaluation information, and the first evaluation information and the second evaluation information function as a greenhouse gas index that indicates the amount of greenhouse gas emissions associated with farming, Along with the greenhouse gas index a eutrophication index indicating the impact of said farming on eutrophication, an ozone depletion index indicating the impact of said farming on ozone layer depletion, an acidification index indicating the impact of said farming on acidification, an urban air pollution index indicating the impact of said farming on urban air pollution, a photochemical oxidant index indicating the impact of said farming on photochemical oxidants, a hazardous chemical (carcinogenic) index indicating the impact of hazardous chemicals (carcinogenic) associated with said farming, a hazardous chemical (chronic) index indicating the impact of hazardous chemicals (chronic) associated with said farming, an aquatic ecotoxicity index indicating the impact of aquatic ecotoxicity associated with said farming, a terrestrial ecotoxicity index indicating the impact of terrestrial ecotoxicity associated with said farming, and an impact of said farming on land use (maintenance) The problem is solved by including at least one of a land use (maintenance) index, a land use (alteration) index indicating the impact of the farming operation on land use (alteration), a resource consumption index indicating the impact of the farming operation on resource consumption, a human health index indicating the impact of the farming operation on human health, a social asset index indicating the impact of the farming operation on social assets, a biodiversity index indicating the impact of the farming operation on biodiversity, a primary production index indicating the impact of the farming operation on primary production, an integrated index indicating the overall impact of the farming operation on the environment, a water resource consumption index indicating the amount of water resource consumption associated with the farming operation, a total nitrogen leaching index indicating the total amount of nitrogen leaching associated with the farming operation, and a total phosphorus leaching index indicating the total amount of phosphorus leaching associated with the farming operation.

[0009] According to the above configuration, the environmental assessment program calculates environmental assessment information that indicates 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 a number of environmental assessment items, including eutrophication, biodiversity, and primary production. The environmental assessment information is output in a form that allows comparison between first assessment information that indicates the impact of standard farming on the environment and second assessment information that indicates the impact of recommended farming on the environment. This makes it 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.

[0010] Furthermore, the computer may further 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 the improvement evaluation information over two or more cultivation periods of the agricultural crop. According to the above configuration, the improvement evaluation information obtained by subtracting the second evaluation information from the first evaluation information is cumulatively added over multiple cultivation periods, making it possible to evaluate the impact of farming operations over multiple cultivation periods on the environment from a long-term perspective.

[0011] In addition, the computer may further 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. According to the above configuration, the improvement evaluation information is output together with the improvement guidance information, which makes it possible to support farmers in understanding the state of environmental improvement.

[0012] In addition, an environmental assessment device may include the computer, and the computer may be caused to execute the environmental assessment program. According to the above configuration, it is possible to comprehensively evaluate the impact of agricultural activities on the environment and to assist in selecting appropriate agricultural activities based on a correct understanding of the impact of agricultural activities on the environment. [Effects of the Invention]

[0018] The environmental assessment program, environmental assessment device, commercial transaction support program, and commercial transaction support device of the present invention make it possible to comprehensively assess 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 explanation of the drawings]

[0019] [Figure 1] 1 is an overall configuration diagram of an environment evaluation system according to an embodiment of the present invention. [Figure 2] FIG. 1 is a diagram for explaining an overview of environmental evaluation. [Figure 3] FIG. 2 is a functional configuration diagram of an environment assessment server. [Figure 4] FIG. 10 is a diagram showing an example of the data structure of basic cultivation information TBL. [Figure 5A] FIG. 10 is a diagram showing an example of the data structure of a fertilizer / compost information TBL. [Figure 5B] FIG. 10 is a diagram showing an example of the data structure of green manure information TBL. [Figure 5C] FIG. 2 is a diagram showing an example of the data structure of a pesticide information TBL. [Figure 5D] FIG. 2 is a diagram showing an example of the data structure of an agricultural machinery information TBL. [Figure 5E] FIG. 10 is a diagram showing an example of the data structure of plastic material information TBL. [Figure 5F] FIG. 10 is a diagram showing an example of the data structure of residue incineration information TBL. [Figure 6A] FIG. 2 is a diagram illustrating an example of the data structure of a fertilizer analysis information DB. [Figure 6B] FIG. 2 is a diagram showing an example of the data structure of a compost analysis information DB. [Figure 6C] FIG. 2 is a diagram showing an example of the data structure of a green manure analysis information DB. [Figure 6D] FIG. 2 is a diagram showing an example of the data structure of a pesticide analysis information DB. [Figure 6E] FIG. 2 is a diagram illustrating an example of a data structure of an agricultural machinery analysis information DB. [Figure 6F] FIG. 2 is a diagram showing an example of the data structure of a plastic material analysis information DB. [Figure 7] FIG. 2 is a functional configuration diagram of a transaction support server. [Figure 8A] FIG. 2 is a diagram illustrating an example of the data structure of a registrant information DB. [Figure 8B] FIG. 2 is a diagram illustrating an example of a data structure of a sales information DB. [Figure 9] FIG. 10 is a diagram showing the flow of an environment evaluation process. [Figure 10] FIG. 10 is a diagram illustrating an example of an environment evaluation information output screen. [Figure 11] FIG. 10 is a diagram showing the flow of transaction support processing. [Figure 12] FIG. 10 is a diagram showing an example of a sales wish list output screen. [Figure 13] FIG. 10 is a diagram showing an example of a sales wish list output screen according to a modified example. DETAILED DESCRIPTION OF THE INVENTION

[0020] An environmental evaluation system 1 according to one embodiment of the present invention (hereinafter referred to as this embodiment) will be described below with reference to Figures 1 to 13. However, the embodiment described below is merely an example to facilitate understanding of the present invention, and is not intended to limit the present invention. In other words, the present invention can be modified and improved without departing from the spirit thereof, and of course, the present invention also includes equivalents thereof.

[0021] The environmental assessment system 1 of this embodiment is used to assess the environmental impact of agricultural activities and to support commercial transactions based on the assessment results. Here, the environmental impact of agricultural activities is not limited to greenhouse gas emissions. In other words, the environmental assessment system 1 of this embodiment aims to perform a more comprehensive environmental assessment and thereby support agricultural practitioners in selecting appropriate agricultural activities.

[0022] In the following description, "fertilizer" refers to an agricultural material used to provide nutrients to crops, and may be chemical or artificial. Fertilizer includes both chemical fertilizers and organic fertilizers. In the following description, "compost" refers to decayed 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. In the following explanation, "green manure" refers to fresh organic matter that is incorporated into the soil to promote the growth of soil microorganisms. Seeds are sown, and after growth, the harvest is incorporated into the soil as green manure.

[0023] In the following explanation, "organic fertilizer" refers to fertilizer that is made up of 50% or more biologically derived raw materials. Organic fertilizer does not include compost or animal manure. In the following explanation, "compost" refers to compost made primarily from waste materials such as food waste and pruning branches, and whose manufacturing process and the amount of resources used, such as energy and water, are clearly defined. Compost does not include animal compost. In the following explanation, "animal compost" refers to compost made by livestock farmers for the purpose of treating livestock manure, such as cow manure, horse manure, pig manure, and chicken manure, as its main raw material.

[0024] In the following description, the term "greenhouse gas index" refers to an evaluation index that indicates the amount of greenhouse gas emissions that accelerate global warming. A specific example of the greenhouse gas index is the CO2 equivalent, which is the total amount of greenhouse gas emissions including carbon dioxide, methane, and nitrous oxide converted into carbon dioxide, but is not limited to this. The greenhouse gas index may also include indices other than the CO2 equivalent. In the following description, the term "eutrophication index" refers to an evaluation index that quantitatively indicates the degree to which nutrients contained in a body of water, such as the sea, lakes, or rivers, are shifting from a poor state to a rich state. 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. In the following description, the "ozone depletion index" is an evaluation index that quantitatively indicates the impact on the depletion of the stratospheric ozone layer. A specific example of the ozone depletion index is the ozone depletion potential (ODP), which is a well-known index, but is not limited to this. The ozone depletion index may include indexes other than the ODP that quantitatively indicate the depletion of the ozone layer.

[0025] In the following description, the term "acidification index" refers to an evaluation index that quantitatively indicates the degree to which atmospheric acidifying substances are causing the earth's surface to transition to an acidic environment. Specific examples of acidifying substances include sulfur oxides, nitrogen oxides, and ammonia. Specific examples of the acidification index include, but are not limited to, the well-known acidification potential (AP). The acidification index may include indices other than AP that quantitatively indicate the impact of acidifying substances. In the following description, the "urban air pollution index" is an evaluation index that quantitatively indicates the impact of emissions of primary pollutants directly emitted from emission sources such as factories and automobiles, and secondary pollutants generated by chemical reactions or the like from primary pollutants dispersed 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 based on changes in the concentrations of primary pollutants and secondary pollutants, but urban air pollution is not limited to these and may include any index that quantitatively indicates air pollution in urban areas. In the following description, the "photochemical oxidant index" is an evaluation index relating to the amount of photochemical oxidants, 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 creation potential (POCP), but is not limited to this. The photochemical oxidant index may include indices other than the POCP that quantitatively indicate the impact of photochemical oxidants.

[0026] In the following description, the term "hazardous chemical index" refers to an evaluation index that quantitatively indicates the impact of chemicals that may have adverse effects on human health. A specific example of a hazardous chemical index is the well-known evaluation index, the Human Toxicity Potential (HTP), but this is not limited to this. The hazardous chemical index includes the hazardous chemical (carcinogenic) index, which is an evaluation index relating to the impact of carcinogenic chemicals, and the hazardous chemical (chronic) index, which is an evaluation index relating to the impact of chronic ingestion or inhalation of chemicals. In the following description, the term "ecotoxicity index" refers to an evaluation index that quantitatively indicates the impact of the emission of harmful substances on an ecosystem (for example, fluctuations in population and changes in the ecosystem balance). A specific example of an ecotoxicity index is the well-known evaluation index, Eco Toxicity Potential (ETP), but is not limited to this. Ecotoxicity indices include the aquatic ecotoxicity index, which relates to aquatic ecosystems, and the terrestrial ecotoxicity index, which relates to terrestrial ecosystems.

[0027] In the following explanation, the "land use index" is an evaluation index that quantitatively shows the destruction and loss of nature due to artificial land development. The land use index includes a land use (change) index that relates to the change of the land surface and a land use (maintenance) index that relates to the maintenance of non-natural conditions. Land use (change) is evaluated based on the area of ​​the changed land, and land use (maintenance) is evaluated based on the occupied area and occupation time of the land, but is not limited to this. In the following description, the "resource consumption index" refers to an evaluation index related to resource consumption. The resource consumption index includes the fossil fuel consumption index related to the amount of fossil fuel consumed and the mineral resource consumption index related to the amount of mineral resource consumed, but does not include the water resource consumption index related to the amount of water resource consumed. The resource consumption index is evaluated based on, but not limited to, the calorific value generated by the consumption of resources or the recoverable reserves.

[0028] In the following description, the term "human health index" refers to an evaluation index that quantitatively indicates damage or impact on human health. A specific example of the human health index is the well-known evaluation index, Disability-Adjusted Life Year (DALY), but is not limited to this. The human health index may also include evaluation indexes other than DALY, such as Years of Life Lost (YOLL) and Quality-Adjusted Life Year (QALY). In the following description, the "social asset index" refers to an index that comprehensively quantifies the scale of damage to protected resources, such as fossil fuels, mineral resources, forest resources, fishery resources, and agricultural resources. A specific example of the social asset index is the monetary value of the damage, but is not limited to this. The social asset index may also include the amount of energy lost due to the damage. In the following description, the term "biodiversity index" refers to an evaluation index that quantitatively indicates the diversity of biological species. A specific example of a biodiversity index is the Expected Increase Number of Extinct Species (EINES), a known statistical index that indicates the extinction risk of biological species, but is not limited to this. The biodiversity index may also include indices other than EINES that quantitatively indicate the diversity of ecosystems.

[0029] In the following description, the term "primary production index" refers to an evaluation index that quantitatively indicates the scale of photosynthesis performed by plants. Primary production is evaluated by, but is not limited to, the dry weight of organic matter (carbohydrates) produced by plants from carbon dioxide in the air through photosynthesis. The primary production index may include any index that quantitatively indicates the scale of photosynthesis performed by plants. In the following description, the "integrated index" refers to an evaluation index that comprehensively quantifies the impact on the environment. The integrated index is obtained by a product-sum operation using an integrated coefficient that indicates the importance of each of the above-mentioned human health index, social asset index, biodiversity index, and primary production index, but is not limited to this.

[0030] In the following description, the term "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. In the following explanation, the term "total nitrogen leaching amount" refers to a calculated value that indicates the extent to which nitrogen in the soil descends and seeps through the soil layers, and is an estimated value calculated based on actual agricultural activities. In the following explanation, the term "total phosphorus leaching amount" refers to a calculated value that indicates the extent to which soil phosphorus descends and seeps through the soil layers, and is an estimated value calculated based on actual agricultural activities.

[0031] In the following description, "agricultural machinery" refers to machines, devices, and implements used in agricultural activities that are powered by energy sources such as electricity and fuel. In the following explanation, "agricultural activities" includes activities aimed at cultivating crops (for example, planting, sowing, fertilizing, harvesting, mowing, threshing, transporting, and moving), and agricultural activities carried out continuously over one or more cultivation periods are referred to as farming.

[0032] <Outline 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 comprises an environmental assessment server 10, a transaction support server 20, a producer terminal 30, a purchaser terminal 40, and an administrator terminal 50, which are interconnected via a publicly available telecommunications line NW for mutual communication. 1 shows one each of the producer terminal 30, the purchaser terminal 40, and the administrator terminal 50, but this is a representative illustration of one or more of the producer terminal 30, the purchaser terminal 40, and the administrator terminal 50. Of course, a plurality of the producer terminals 30, the purchaser terminals 40, and the administrator terminal 50 may be connected via a telecommunications line NW.

[0033] The environmental assessment server 10 is an information processing server that assesses the impact that agricultural activities have on the environment, and is used to perform environmental assessments targeting the life cycle of agricultural crop cultivation. An overview of the environmental assessment performed by the environmental assessment server 10 will be described later with reference to FIG. The environmental assessment server 10 is an information processing device managed and operated by a national government, a local government, a research institute, a company, or an organization that works to realize a sustainable society.

[0034] Fig. 2 is a diagram for explaining an overview of environmental assessment. As shown in Fig. 2, the environmental assessment server 10 first acquires basic cultivation information and farming information. The basic cultivation information is basic information about the cultivation of agricultural crops, and includes information about the area of ​​the farmland (field) where the crops are cultivated, the location of the farmland, the crops cultivated, and the cultivation period.

[0035] The farming information is information on agricultural materials used in agricultural activities, such as fertilizer, compost, green manure, pesticides, agricultural water, and agricultural machinery. The environmental assessment server 10 acquires the farming information necessary to perform environmental assessment for the entire life cycle of agricultural crop cultivation. The environmental assessment server 10 may also acquire farming information spanning multiple cultivation periods. The environmental assessment server 10 also acquires standard farming information and recommended farming information for the area where the cultivation is carried out. A specific example of recommended farming is farming that mainly uses organic fertilizer and compost with the aim of realizing a sustainable society.

[0036] Next, the environmental assessment server 10 analyzes factors that affect the environment based on the acquired basic cultivation information and farming information. These factors include raw materials, materials, products, and energy consumption related to agricultural activities. Specific examples of these factors include greenhouse gases, including carbon dioxide and methane, emitted during agricultural activities, and nitrogen, phosphorus, potassium, and urea contained in fertilizers. Another specific example of these factors is energy consumption associated with the use of agricultural machinery. The environmental assessment server 10 calculates the amount of emissions of impact factors based on the types and amounts of fertilizers, compost, and green manures used in agricultural activities, as well as the types and amounts of pesticides sprayed.The environmental assessment server 10 also calculates the amount of energy consumed 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 impact factors. Specifically, the environmental assessment server 10 evaluates the impacts on global warming, eutrophication, ozone layer 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 product-sum operations using the scale of the analyzed impact factors and predetermined impact coefficients.

[0038] Finally, the environmental assessment server 10 predicts damage caused based on the analysis results of the impact factors. Specifically, the environmental assessment server 10 predicts damage to human health, social assets, biodiversity, primary production, and an integrated index that integrates these. The environmental assessment server 10 predicts damage caused by agricultural activities by performing product-sum operations using the scale of the analyzed impact factors, predetermined damage coefficients, and integrated coefficients.

[0039] As described above, the environmental assessment server 10 evaluates the impact of many items, predicts various damages, and outputs the results as environmental assessment information. This enables agricultural producers to comprehensively evaluate the impact of their agricultural activities on the environment and select appropriate agricultural activities based on a correct understanding of the impact of their agricultural activities on the environment.

[0040] Returning to Figure 1, transaction support server 20 is a server device that acquires the environmental assessment information output by environmental assessment server 10 and supports commercial transactions based on the environmental assessment information. More specifically, the environmental assessment information output by environmental assessment server 10 quantifies the impact of agriculture on the environment using quantitative indicators. By supporting commercial transactions that target the impact on the environment indicated by the indicators, 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 a national government, a local government, a research institute, a company, or an organization working to realize 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 regarding the crops to be cultivated, the field, the fertilizers, compost, green manure to be applied to the field, and the pesticides to be sprayed. The producer terminal 30 also acquires the 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 the environmental assessment information via the transaction support server 20. More specifically, the producer terminal 30 can accept input of sales information including the environmental assessment information and the desired price from the producer and transmit this to the transaction support server 20. The producer terminal 30 is a tablet terminal, but is not limited to this. The producer terminal 30 may be a smartphone, a desktop terminal, or a notebook terminal.

[0043] The purchaser terminal 40 is an information processing terminal used by a prospective purchaser in a commercial transaction based on the environmental assessment information. More specifically, the purchaser terminal 40 acquires sales information including the environmental assessment information from the transaction support server 20 and outputs it to the display device of the purchaser terminal 40. The prospective purchaser can visually check the sales list displayed on the display device and select the item they wish to purchase. The purchaser terminal 40 is a desktop terminal, but is not limited to this. The purchaser terminal 40 may be a notebook terminal, a smartphone, or a tablet terminal.

[0044] The administrator terminal 50 is an information processing terminal used by a person who manages and operates the environmental evaluation system 1. To explain in more detail, the administrator terminal 50 is used to properly maintain and manage the environmental evaluation server 10 and the transaction support server 20. The administrator terminal 50 is also used to store coefficients required for the environmental evaluation server 10 to generate environmental evaluation information and to update them as necessary. The administrator terminal 50 is a desktop terminal, but is not limited to this. 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 above, first, basic cultivation information on the cultivated agricultural products and farmland (field), and farming information on fertilizer, compost, green manure, pesticides, etc. are input via the producer terminal 30. This information is sent from the producer terminal 30 to the environmental assessment server 10. The environmental assessment server 10 receives the basic cultivation information and farming information sent by the producer terminal 30, analyzes 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 form. This enables producers to carry out their agricultural activities by appropriately selecting the fertilizers, green manures, and compost to be applied, as well as the pesticides to be sprayed.

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

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

[0048] The environment assessment server storage device 12 is a non-volatile auxiliary storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The environmental assessment 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 assessment server storage device 12 also stores a fertilizer analysis information DB12h, a compost analysis information DB12i, a green manure analysis information DB12j, a pesticide analysis information DB12k, an agricultural machinery analysis information DB12l, a plastic material analysis information DB12m, and a coefficient DB12n. The environmental assessment server storage device 12 also stores an environmental assessment program 12o executed by the environmental assessment server control device 11.

[0049] The basic cultivation information TBL 12a stores information about the fields (paddy fields, farmland, orchards, etc.) where agricultural products are grown and the agricultural products grown in the fields. The basic cultivation information TBL 12a is registered and updated by users of the environmental assessment system 1, including producers. Fig. 4 shows an example of the data structure of the basic cultivation information TBL 12a. As shown in Fig. 4, the basic cultivation information TBL 12a stores records having the following items: farming ID, field ID, latitude, longitude, area, crop, variety, cultivation period, and type.

[0050] The farming ID is identification information that can identify a farming operation and is stored with alphanumeric characters. The field ID is information that can identify a field where a crop is cultivated and is stored with alphanumeric characters. The latitude and longitude are information on latitude and longitude that can identify the location of the field identified by the field ID. However, without being limited to this, the basic cultivation information TBL12a may also have an item that can identify the address of the field.

[0051] The area is information that can specify the area of ​​the field identified by the field ID. However, without being limited to this, the basic cultivation information TBL12a may also include items that can specify the shape and size of the field. The agricultural product, variety, and cultivation period are information that can identify the type, variety, and cultivation period of the agricultural product cultivated in the farming identified by the farming ID. However, without being limited to this, the basic cultivation information TBL12a may also have items that can identify the start and end times of cultivation.

[0052] The type is information that can identify the type of farming identified by the farming ID. Specifically, either "standard" indicating that the farming is based on standard agricultural practices in the area where the crops are grown, or "project" indicating that the farming is recommended and differs from standard agricultural practices, is stored. However, without being limited to this, a project name or the like that can identify the details of the recommended farming may also be stored.

[0053] The fertilizer / compost information TBL 12b stores information on the application of fertilizer and compost. The fertilizer / compost information TBL 12b is registered and updated by users of the environmental assessment system 1, including producers. Fig. 5A shows an example of the data structure of the fertilizer / compost information TBL 12b. As shown in Fig. 5A, the fertilizer / compost information TBL 12b stores records having fields such as a farming ID, a fertilizer / compost ID, an application date, an application area, and an application amount.

[0054] The farming ID is identification information that can identify the farming, and the same information as that in the basic cultivation information TBL12a is stored. The fertilizer / compost ID is identification information that can identify the fertilizer or compost to be applied, and alphanumeric characters are stored. However, as long as the fertilizer or compost can be identified, the fertilizer / compost information TBL12b may also 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 application date of the fertilizer or compost, the application area is information that can identify the area to which the fertilizer or compost is applied, and the application amount is information that can identify the weight of the fertilizer or compost to be applied. However, without being limited thereto, the fertilizer / compost information TBL12b may further include an item that can identify the application method of the fertilizer or compost.

[0056] The green manure information TBL 12c stores information on the application of green manure. The green manure information TBL 12c is registered and updated by users of the environmental assessment system 1, including producers. 5B shows an example of the data structure of the green manure information TBL 12c. As shown in Fig. 5B, the green manure information TBL 12c stores records having fields such as a farming ID, a green manure ID, a sowing date, a plowing date, a sowing rate, an plowing area, and a plowing rate.

[0057] The farming ID is identification information that can identify the farming, and the same information as that in the basic cultivation information TBL12a is stored. The green manure ID is identification information that can identify the green manure to be applied, and alphanumeric characters are stored. However, as long as the green manure can be identified, the green manure information TBL12c may also have an item 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 green manure seeds, and the plowing date is date information that can identify the plowing date of green manure. However, without being limited to these, the green manure information TBL12c may further include an item that can identify the harvest date of green manure. The seeding rate is information that can identify the weight of the green manure seeds to be sown, the plowed-in area is information that can identify the area where the green manure will be plowed in, and the plowed-in amount is information that can identify the weight of the green manure to be plowed in. However, without being limited to these, the green manure information TBL12c may further include an item that can identify the green manure application method.

[0059] The pesticide information TBL 12d stores information about the application of pesticides, and is registered and updated by users of the environmental assessment system 1, including producers. 5C shows an example of the data structure of the pesticide information TBL 12d. As shown in FIG. 5C, the pesticide information TBL 12d stores records having fields such as a farming ID, a pesticide ID, a spraying date, a spraying area, a spray amount, and a dilution ratio.

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

[0061] The spraying date is date information that can identify the date of spraying of the pesticide, the spraying area is information that can identify the area to which the pesticide will be sprayed, the spray amount is information that can identify the weight of the pesticide to be sprayed, and the dilution ratio is information that can identify the dilution ratio when the pesticide is sprayed. However, without being limited to these, the pesticide information TBL12d may further include an item that can identify the pesticide spraying method.

[0062] The agricultural machinery information TBL 12e stores information about the use of agricultural machinery. The agricultural machinery information TBL 12e is registered and updated by users of the environmental assessment system 1, including producers. Fig. 5D shows an example of the data structure of the agricultural machinery information TBL 12e. As shown in Fig. 5D, the agricultural machinery information TBL 12e stores records having fields such as a farming ID, an agricultural machinery ID, the number of uses, and the duration of use.

[0063] The farming ID is identification information that can identify the farming, and the same information as that in the basic cultivation information TBL12a is stored. The agricultural machine ID is identification information that can identify the agricultural machine to be used, and alphanumeric characters are stored. However, as long as the agricultural machine can be identified, the agricultural machine information TBL 12e may also include items related to the purpose of the agricultural machine (spreading fertilizer or compost, sowing seeds, plowing, etc.), the manufacturer of the agricultural machine, and the model number.

[0064] The number of uses is information that can identify the number of times the agricultural machine has been used, and the usage time is time information that can identify the usage time per use. However, without being limited to this, the agricultural machinery information TBL12e may further include items that can identify the usage method of the agricultural machine, such as the date and time of use and usage conditions.

[0065] The plastic material information TBL 12f 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. 5E shows an example of the data structure of the plastic material information TBL 12f. As shown in Fig. 5E, the plastic material information TBL 12f stores records having fields such as farming ID, material ID, type of plastic material, amount used, and years of use.

[0066] The farming ID is identification information that can identify the farming, and the same information as that in the basic cultivation information TBL12a is stored. The material ID is information that can identify the plastic material to be used, and is stored as alphanumeric characters. However, as long as the plastic material can be identified, the plastic material information TBL 12f may also include items related to the manufacturer and model number of the plastic material.

[0067] The type of plastic material stores the use of the plastic material (agricultural greenhouse, mulch, packaging material, etc.). The amount used is information that can identify the weight of the plastic material used, but may also be information that can identify the dimensions or area of ​​the plastic material. The number of years used is information that can identify the number of years the plastic material has been used, but may also include information that can identify the number of months it has been used.

[0068] The residue incineration information TBL12g stores information about residue incineration. Residue is waste that remains 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 cultivated plants. 5F shows an example of the data structure of the residue incineration information TBL 12g. As shown in Fig. 5F, the residue incineration information TBL 12g stores records having fields such as farming ID, type of crop to be incinerated, incineration area, and incineration time.

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

[0070] The fertilizer analysis information DB 12h stores information necessary for fertilizer analysis and environmental assessment. The fertilizer analysis information DB 12h is updated by the administrator of the environmental assessment system 1. Fig. 6A shows an example of the data structure of the fertilizer analysis information DB 12h. As shown in Fig. 6A, the fertilizer analysis information DB 12h stores records each having 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 in the fertilizer / compost information TBL12b is stored. The name is the name (product name) of the fertilizer identified by the fertilizer ID. However, without being limited to this, the fertilizer analysis information DB 12h may further include items related to the type of fertilizer (chemical fertilizer, urea fertilizer, organic fertilizer, etc.) and the name of the manufacturer.

[0072] The nitrogen content, phosphorus content, potassium content, and carbon content are the nitrogen content, phosphorus content, potassium content, and carbon content of the fertilizer identified by the fertilizer ID. The nitrogen leaching rate and phosphorus leaching rate are the rates at which nitrogen and phosphorus are leached from the fertilizer.

[0073] Emission factors indicate the scale of greenhouse gases emitted in the production and use of fertilizer. Specific examples of emission factors include the emission factor for greenhouse gases emitted during fertilizer production, the emission factor for nitrous oxide emitted in the application of nitrogen-containing fertilizer, and the emission factor for carbon dioxide emitted in the use of urea fertilizer. 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 DB 12i stores information necessary for compost analysis and environmental assessment. The compost analysis information DB 12i is updated by the administrator of the environmental assessment system 1. Fig. 6B shows an example of the data structure of the compost analysis information DB 12i. As shown in Fig. 6B, the compost analysis information DB 12i stores records having the following items: compost ID, name, raw material weight ratio, raw material weight, electricity used, amount of clean water used during production, amount of heavy oil used, amount of light oil used, proportion of wood-based materials, emission coefficient, and shipping location. Although not shown in Fig. 6B, the compost analysis information DB 12i may further have the following items: nitrogen content, phosphorus content, carbon content, nitrogen leaching rate, and phosphorus leaching rate.

[0075] The compost ID is identification information that can identify the compost to be applied, and the same information as that in the fertilizer / compost information TBL12b is stored. The name is the name of the compost identified by the compost ID. However, without being limited to this, the compost analysis information DB 12i may further include an item relating to the type of compost (compost, animal compost).

[0076] The raw material weight ratio and raw material weight are the raw material weight ratio and raw material weight of compost made from waste materials such as food waste and pruning branches. The electricity consumption, amount of tap water consumption, amount of heavy oil consumption, and amount of light oil consumption are the electricity consumption, amount of tap water consumption, amount of heavy oil consumption, and amount of light oil consumption, respectively, during the production of a compost production lot. The wood-based material ratio is the weight ratio of wood-based materials contained in the raw materials of the compost.

[0077] Emission factors indicate the amount of greenhouse gases emitted during the production and 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 depending on the raw materials used during compost production, and the emission factor for nitrous oxide emitted 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 analyzing green manure and environmental assessment. The green manure analysis information DB12j is updated by the administrator of the environmental assessment system 1. 6C shows an example of the data structure of the green manure analysis information DB 12j. As shown in Fig. 6C, the green manure analysis information DB 12j stores records having items such as a green manure ID, a name, a nitrogen content, a carbon content, and a 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 in the green manure information TBL12c is stored. The name is the name of the green manure identified by the green manure ID. However, without being limited to this, the green manure analysis information DB12j may further include an item related to the type of green manure (crotalaria, oats, barley, etc.).

[0080] The nitrogen content and carbon content are the nitrogen content and carbon content of the green manure identified by the 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 DB 12k stores information necessary for analyzing pesticides and environmental assessments. The pesticide analysis information DB 12k is updated by the administrator of the environmental assessment system 1. Fig. 6D shows an example of the data structure of the pesticide analysis information DB 12k. As shown in Fig. 6D, the pesticide analysis information DB 12k stores records each having the fields of pesticide ID, name, type 1, type 2, and shipping location.

[0082] The pesticide ID is identification information that can identify the pesticide to be sprayed, and the same information as that in the pesticide information TBL 12d is stored. The name is information about the product name of the pesticide identified by the pesticide ID. However, without being limited to this, the pesticide analysis information DB 12k may further include an item about the manufacturer of the pesticide.

[0083] Type 1 and Type 2 are information that can identify the type of pesticide. Type 1 stores either "insecticide," "fungicide," "herbicide," or "other pesticide." Type 2 is information that can identify the ingredients contained in the pesticide. Specific examples include information on ingredients that have a significant impact on the environment, such as malaothin, maneb, zineb, ziram, thiram, 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 DB 12l stores information necessary for analyzing the agricultural machinery to be used and for environmental assessment. The agricultural machinery analysis information DB 12l is updated by the administrator of the environmental assessment system 1. Fig. 6E shows an example of the data structure of the agricultural machinery analysis information DB 121. As shown in Fig. 6E, the agricultural machinery analysis information DB 121 stores records having items such as agricultural machinery ID, name, purpose, fuel consumption, and heat value.

[0085] The agricultural machine ID is identification information that can identify the agricultural machine to be used, and the same information as that in the agricultural machine information TBL 12e is stored. The name is information about the product name of the agricultural machine identified by the agricultural machine ID. However, without being limited to this, the agricultural machinery analysis information DB12l may further include items about the manufacturer and model number of the agricultural machine.

[0086] The purpose is information about the purpose of the agricultural machine identified by the agricultural machine ID, and "spraying," "sowing," "plowing," etc. are stored. The fuel consumption is information that can identify the amount of fuel consumed per unit time when the agricultural machine is operating. The calorific value is information that can identify the amount of heat generated when the agricultural machine consumes fuel.

[0087] The plastic material analysis information DB 12m stores information necessary for analyzing and environmentally assessing plastic materials. The plastic material analysis information DB 12m is updated by the administrator of the environmental assessment system 1. 6F shows an example of the data structure of the plastic material analysis information DB 12m. As shown in FIG. 6F, the plastic material analysis information DB 12m stores records having fields such as material ID, resin type, and shipping location, but is not limited to these. The plastic material analysis information DB 12m may also have a field for useful life.

[0088] The material ID is identification information that can identify a plastic material, and the same information as that in the plastic material information TBL12f is stored. The type of resin is information that can identify the synthetic resin that is the raw material of 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 FIG. 3, the coefficient DB 12n stores coefficients used to evaluate the impact of agricultural activities on the environment and predict damage caused by agricultural activities. More specifically, the coefficient DB 12n stores impact coefficients, damage coefficients, and weighting coefficients. The impact coefficients are coefficients used when evaluating the impact of agricultural activities on the environment. The damage coefficients are coefficients used when predicting damage caused by agricultural activities. The weighting coefficients are coefficients used when calculating the integrated index, which will be described later. The environment assessment program 12o is executed by the environment assessment server control device 11, and is a program for executing an environment assessment process, which will be described later with reference to FIG.

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

[0091] The basic cultivation information acquisition unit 11a acquires basic cultivation information that can identify the cultivated crops and the location and area of ​​the field in which the crops are cultivated. The basic cultivation information may include information about the cultivation season. The basic cultivation information acquisition unit 11a can acquire the basic cultivation information by receiving it via the telecommunications line NW, which is input to the producer terminal 30. Alternatively, the basic cultivation information acquisition unit 11a may acquire the basic cultivation information by accessing the basic cultivation information TBL 12a.

[0092] The first farming information acquisition unit 11b acquires first farming information, which is standard farming information regarding the application of fertilizer, compost, and green manure and the spraying of pesticides in a 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 for which "standard" is stored as the type from the fertilizer and compost information TBL12b, the green manure information TBL12c, and the pesticide information TBL12d.

[0093] The first farming information acquisition unit 11b also acquires usage information of agricultural machinery used in standard farming. More specifically, the first farming information acquisition unit 11b accesses the agricultural machinery information TBL 12e and acquires information on the number of times and duration of use of the agricultural machinery used.

[0094] The first farming information acquisition unit 11b may also acquire information regarding the amount of plastic materials used in standard farming. More specifically, the first farming information acquisition unit 11b accesses the plastic material information TBL12f and acquires information regarding the amount of plastic materials used and the number of years they have been used.

[0095] In addition, the first farming information acquisition unit 11b may acquire information regarding the amount of residue incineration associated with standard farming (first residue incineration information of the present invention). More specifically, the first farming information acquisition unit 11b can access the residue incineration information TBL12g and acquire information regarding residue incineration.

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

[0097] The second farming information acquisition unit 11c also acquires usage information of the agricultural machinery used in the recommended farming. More specifically, the second farming information acquisition unit 11c acquires information on the number of times and duration of usage of the agricultural machinery by receiving it from the producer terminal 30 via the telecommunications line NW or by accessing the agricultural machinery information TBL 12e.

[0098] The second farming information acquisition unit 11c may also acquire information regarding the amount of plastic materials used in the recommended farming. 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] The second farming information acquisition unit 11c may also acquire information regarding the amount of residue incineration associated with the recommended farming (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 the telecommunications line NW or by accessing the residue incineration information TBL12g.

[0100] The first evaluation information calculation unit 11d calculates first evaluation information indicating the environmental impact of standard farming based on the basic cultivation information and the first farming information. The first evaluation information includes a greenhouse gas index indicating greenhouse gas emissions associated with farming, a eutrophication index indicating the impact of farming on eutrophication, an ozone depletion index indicating the impact of farming on ozone layer depletion, an acidification index indicating the impact of farming on acidification, an urban air pollution index indicating the impact of farming on urban air pollution, a photochemical oxidant index indicating the impact of farming on photochemical oxidants, a hazardous chemical (carcinogenic) index indicating the impact of hazardous chemical (carcinogenic) associated with farming, a hazardous chemical (chronic) index indicating the impact of hazardous chemical (chronic) associated with farming, an aquatic ecotoxicity index indicating the impact of aquatic ecotoxicity associated with farming, a terrestrial ecotoxicity index indicating the impact of terrestrial ecotoxicity associated with farming, a land use (maintenance) index indicating the impact of farming on land use (maintenance), a land use (alteration) index indicating the impact of farming on land use (alteration), and a resource consumption index indicating the impact of farming on resource consumption. In addition, the first evaluation information further includes a human health index that indicates the impact of farming on human health, a social asset index that indicates the impact of farming on social assets, a biodiversity index that indicates the impact of farming on biodiversity, a primary production index that indicates the impact of farming on primary production, and an integrated index that comprehensively indicates the impact of farming on the environment. In addition, the first evaluation information further includes a water resource consumption index indicating the amount of water resource consumption associated with farming operations, a total nitrogen leaching index indicating the total amount of nitrogen leaching associated with farming operations, and a total phosphorus leaching index indicating the total amount of phosphorus leaching associated with farming operations. Hereinafter, calculation of the first evaluation information by the first evaluation information calculation unit 11d will be described in detail, taking the greenhouse gas index and the total nitrogen leaching amount as examples.

[0101] <<Calculation of Greenhouse Gas Indices>> First, let us explain how to calculate the greenhouse gas index. The greenhouse gas index is the total amount of greenhouse gas emissions, including carbon dioxide, methane, and nitrous oxide, converted into carbon dioxide equivalents, and is called CO2 equivalent. The first evaluation information calculation unit 11d calculates the greenhouse gas emission amount by 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 is 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 seeds and 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 stocks. 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 predicted value is explained below.

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

[0103] The predicted value of greenhouse gas emissions from chemical fertilizer production, PRD_GHG_FS, can be calculated using the following equation (3). PRD_GHG_FS=Σt(FSN×NC×ka3 +FSP×PC×kb3 +FSK×KC×kc3)×A (3) Here, FSN is the amount of nitrogen-containing chemical fertilizer applied. NC is the nitrogen content in the chemical fertilizer. ka3 is the greenhouse gas emission factor associated with the production of nitrogen-containing chemical fertilizer. FSP is the amount of phosphorus-containing chemical fertilizer applied. PC is the phosphorus content in the chemical fertilizer. kb3 is the greenhouse gas emission factor associated with the production of phosphorus-containing chemical fertilizer. FSK is the amount of potassium-containing chemical fertilizer applied. KC is the potassium content in the chemical fertilizer. kc3 is the greenhouse gas emission factor associated with the production of potassium-containing chemical fertilizer. A is the area of ​​the field, and t is the management period during which the crops are cultivated.

[0104] The first evaluation information calculation unit 11d acquires the 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 nitrogen content, phosphorus content, and potassium content stored in the fertilizer analysis information DB12h, and the impact coefficients stored in the coefficient DB12n, and substitutes these into equation (3) to calculate the predicted value PRD_GHG_FS of greenhouse gas emissions due to the production of chemical fertilizer.

[0105] The predicted value of greenhouse gas emissions due to 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) where UR is the amount of urea applied, EF is the greenhouse gas emission factor due to the application of urea fertilizer, and ka4 is the greenhouse gas emission factor for direct and indirect emissions associated with the application of nitrogen-containing chemical fertilizers.

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

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

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

[0109] The first evaluation information calculation unit 11d acquires the area of ​​the field stored in the basic cultivation information TBL12a, the amount of organic fertilizer applied stored in the fertilizer / compost information TBL12b, and the impact coefficient stored in the coefficient DB12n, and substitutes 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 due to the use of organic fertilizer, USE_GHG_FO, can be calculated using the following equation (7). USE_GHG_FO=Σt(FO×NC×ka7)×A (7) Here, ka7 is the greenhouse gas emission coefficient for direct and indirect emissions associated with the use of organic fertilizer.

[0111] The first evaluation information calculation unit 11d acquires the 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 nitrogen content stored in the fertilizer analysis information DB12h, and the impact coefficient stored in the coefficient DB12n, and substitutes these into equation (7) to calculate the predicted value USE_GHG_FO of greenhouse gas emissions due to the use of organic fertilizer.

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

[0113] The predicted value of greenhouse gas emissions from compost production, PRD_GHG_FC, can be calculated using the following equation (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 producing a compost lot. ka9 is the greenhouse gas emission factor associated with electricity consumption during compost production. TWTR_FC is the amount of clean water used in producing a compost lot. kb9 is the greenhouse gas emission factor associated with clean water use during compost production. HOL_FC is the amount of heavy oil used in producing a compost lot. kc9 is the greenhouse gas emission factor associated with the combustion of heavy oil. LOL_FC is the amount of light oil used in producing a compost lot. kd9 is the greenhouse gas emission factor associated with the combustion of light oil. LOG_FC is the weight of the compost raw materials multiplied by the transportation distance from the raw material supply location to the production location. ke9 is the greenhouse gas emission factor associated with truck transportation. FC_LOT is the weight of the raw materials in a compost lot.

[0114] The first evaluation information calculation unit 11d acquires the position 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 raw material weight, electricity consumption, amount of clean water consumption, amount of heavy oil consumption, amount of light oil consumption, and shipping location stored in the compost analysis information DB12i, and the impact coefficient stored in the coefficient DB12n, and substitutes these into equation (9) to calculate the predicted value PRD_GHG_FC of greenhouse gas emissions due to compost production.

[0115] The predicted value of greenhouse gas emissions generated during compost production, ONSITE_GHG_FC, can be calculated using the following equation (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 wood-based materials among the raw materials. ka10 is the greenhouse gas emission factor for nitrous oxide emitted by wood-based materials among the raw materials for compost. kb10 is the greenhouse gas emission factor for methane emitted by wood-based materials among the raw materials for compost. kc10 is the greenhouse gas emission factor for nitrous oxide emitted by non-wood-based materials among the raw materials for compost. kd10 is the greenhouse gas emission factor for methane emitted by non-wood-based materials among the raw materials for compost.

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

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

[0118] The first evaluation information calculation unit 11d acquires the area of ​​the field 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 impact coefficient stored in the coefficient DB12n, and substitutes these into equation (11) to calculate the predicted value USE_GHG_FC of greenhouse gas emissions due to the use of compost.

[0119] The predicted greenhouse gas emissions from the production and use of animal manure, GHG_FM, can be calculated using the following equation (12): GHG_FM=USE_GHG_FM (12) where USE_GHG_FM is the predicted 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 equation (13): where USE_GHG_FM = Σt(FM × NC × ka13) × A (13) where FM is the amount of animal manure applied, NC is the nitrogen content of the animal manure, and 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 acquires the 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 nitrogen content stored in the fertilizer analysis information DB12h, and the impact coefficient stored in the coefficient DB12n, and substitutes these into equation (13) to calculate the predicted value USE_GHG_FM of greenhouse gas emissions due to the use of animal manure.

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

[0123] The predicted value of greenhouse gas emissions from pesticide production, PRD_GHG_PES, can be calculated using the following equation (15). PRD_GHG_PES=Σt(ISC×ka15 +ISCMd×kb15 +ISCMew×kc15 +FGC×kd15 +FGCAZ×ke15 +PESOT×kf15 +HEB×kg15)×A (15) Here, ISC is the amount of insecticide sprayed. ka15 is the greenhouse gas emission factor associated with the manufacture of insecticides. ISCMd is the amount of malathion dust-type insecticides sprayed. kb15 is the greenhouse gas emission factor associated with the manufacture of malathion dust-type insecticides. ISCMew is the amount of malathion emulsion-type insecticides sprayed. kc15 is the greenhouse gas emission factor associated with the manufacture of malathion emulsion-type insecticides. FGC is the amount of fungicide sprayed. kd15 is the greenhouse gas emission factor associated with the manufacture of fungicides. FGCAZ is the amount of fungicides containing maneb, zineb, mancozeb, ziram, thiram, or polycarbamate as ingredients sprayed. ke15 is the greenhouse gas emission factor associated with the manufacture of fungicides containing maneb, zineb, mancozeb, ziram, thiram, or polycarbamate as ingredients sprayed. PESOT is the amount of other pesticides sprayed. kf15 is the greenhouse gas emission factor for the production of other pesticides. HEB is the amount of herbicide applied. kg15 is the greenhouse gas emission factor for the production of herbicides.

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

[0125] The predicted greenhouse gas emissions from water use in pesticide use, TWTR_GHG_PES, can be calculated using the following equation (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 spraying insecticides. TWTR_ISCMd is the amount of tap water used in spraying malathion dust-type insecticides. TWTR_ISCMew is the amount of tap water used in spraying malathion emulsion-type insecticides. TWTR_FGC is the amount of tap water used in spraying fungicides. TWTR_FGCAZ is the amount of tap water used in spraying fungicides containing maneb, zineb, mancozeb, ziram, thiram, and polycarbamate. TWTR_PESOT is the amount of tap water used in spraying other pesticides. TWTR_HEB is the amount of tap water used in spraying fungicides. ka16 is the greenhouse gas emission factor for tap water use.

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

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

[0128] The predicted value of greenhouse gas emissions from the production of green manure seeds PRD_GHG_SED can be calculated using the following equation (18). PRD_GHG_SED=Σt(SED×ka18)×A (18) where SED is the predicted amount of green manure seeds applied, and ka18 is the greenhouse gas emission factor associated with seed production.

[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 impact coefficient stored in the coefficient DB12n, and substitute these into equation (18) to calculate the predicted value PRD_GHG_SED of greenhouse gas emissions due to the production of green manure seeds.

[0130] The predicted value of greenhouse gas emissions due to the use of green manure seeds, USE_GHG_SED, can be calculated using the following equation (19). USE_GHG_SED=Σt(SEDYIELD×NC×ka19)×A (19) Here, SEDYIELD is the amount of green manure incorporated as a nitrogen-fixing crop. NC is the nitrogen content of green manure as a nitrogen-fixing crop. ka19 is the greenhouse gas emission factor associated with 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 plowed in stored in the green manure information TBL12c, the nitrogen content stored in the green manure analysis information DB12j, and the impact coefficient stored in the coefficient DB12n, and substitute these into equation (19) to calculate the predicted value USE_GHG_SED of greenhouse gas emissions due to the use of green manure seeds.

[0132] The predicted value of greenhouse gas emissions from the transportation of materials, GHG_LOG, can be calculated using the following equation (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 values ​​of greenhouse gas emissions from the transportation of chemical fertilizers, organic fertilizers, compost, animal manure, pesticides, green manure seeds and seedlings, and plastic materials, respectively.

[0133] The predicted value of greenhouse gas emissions from the transportation of chemical fertilizers, LOG_GHG_FS, can be calculated using the following equation (21). LOG_GHG_FS =Σt(FSN+FSP+FSK)×A×LOG_SF×ka21 (21) where LOG_FS is the transport distance of chemical fertilizer, and ka21 is the greenhouse gas emission coefficient associated with the transport of chemical fertilizer.

[0134] The first evaluation information calculation unit 11d acquires the position 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 location stored in the fertilizer analysis information DB12h, and the impact coefficient stored in the coefficient DB12n, and substitutes these into equation (21) to calculate the predicted value LOG_GHG_FS of greenhouse gas emissions due to the transportation of chemical fertilizer.

[0135] The predicted value of greenhouse gas emissions due to the transportation of organic fertilizer, LOG_GHG_FO, can be calculated using the following equation (22). LOG_GHG_FO=ΣtFO×A×LOG_FO×ka22 (22) where LOG_FO is the transport distance of organic fertilizer, and ka22 is the greenhouse gas emission coefficient associated with the transport of organic fertilizer.

[0136] The first evaluation information calculation unit 11d acquires the position 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 location stored in the fertilizer analysis information DB12h, and the impact coefficient stored in the coefficient DB12n, and substitutes these into equation (22) to calculate the predicted value LOG_GHG_FO of greenhouse gas emissions due to the transportation of organic fertilizer.

[0137] The predicted greenhouse gas emissions from the transportation of compost, LOG_GHG_FC, can be calculated using the following equation (23). LOG_GHG_FC=ΣtFC×A×LOG_FC×ka23 (23) where LOG_FC is the distance the compost was transported, and ka23 is the greenhouse gas emission factor associated with the transportation of the compost.

[0138] The first evaluation information calculation unit 11d acquires the position 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 location stored in the compost analysis information DB12i, and the impact coefficient stored in the coefficient DB12n, and substitutes these into equation (23) to calculate the predicted value LOG_GHG_FC of greenhouse gas emissions due to the transportation of compost.

[0139] The predicted greenhouse gas emissions from the transportation of animal manure, LOG_GHG_FM, can be calculated using the following equation (24): LOG_GHG_FM=ΣtFM×A×LOG_FM×ka24 (24) where LOG_FM is the transport distance of animal manure, and ka24 is the greenhouse gas emission factor associated with the transport of animal manure.

[0140] The first evaluation information calculation unit 11d acquires the position 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 location stored in the compost analysis information DB12i, and the impact coefficient stored in the coefficient DB12n, and substitutes 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 due to the transportation of green manure seeds and seedlings, LOG_GHG_SED, can be calculated using the following equation (25). LOG_GHG_SED=ΣtSED×A×LOG_SED×ka25 (25) where LOG_SED is the transport distance of green manure seeds and ka25 is the greenhouse gas emission coefficient associated with the transport of green manure seeds.

[0142] The first evaluation information calculation unit 11d can obtain the location and area of ​​the field 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 impact coefficient stored in the coefficient DB12n, and substitute these into equation (25) to calculate the predicted value LOG_GHG_SED of greenhouse gas emissions due to the transportation of seeds and seedlings.

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

[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 location stored in the plastic material analysis information DB12m, and the impact 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 value of greenhouse gas emissions from fuel use, GHG_FU, can be calculated using the following equation (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 was used to apply chemical fertilizer. DUR is the working hours of agricultural machinery. FCM is the amount of diesel, gasoline, and oil consumed by agricultural machinery per hour. LtoMJ is the calorific value per unit consumption of diesel, gasoline, and oil. ka27 is the greenhouse gas emission coefficient related to the combustion of diesel, gasoline, and oil. MCTIMES_FO is the number of times agricultural machinery was used to apply organic fertilizer. MCTIMES_FC is the number of times agricultural machinery was used to apply compost. MCTIMES_FM is the number of times agricultural machinery was used to apply animal manure. MCTIMES_PES is the number of times agricultural machinery was used to spray pesticides. MCTIMES_SED is the number of times agricultural machinery was used to sow green manure seeds. MCTIMES_TIL is the number of times agricultural machinery was used to incorporate compost, animal manure, and green manure.

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

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

[0148] The first evaluation information calculation unit 11d acquires the field location stored in the basic cultivation information table 12a, the application rates of organic fertilizer, compost, and animal manure stored in the fertilizer and compost information table 12b, the carbon content stored in the fertilizer analysis information table 12h and the compost analysis information table 12i, the amount of green manure plowed in stored in the green manure information table 12c, and the carbon content stored in the green manure analysis information table 12j, and calculates the change in soil carbon stocks (SOC) using a known carbon dynamics model (RothC model, Rothamsted Carbon model).The first evaluation information calculation unit 11d also acquires the field area stored in the basic cultivation information table 12a and the impact coefficients stored in the coefficient table 12n, and substitutes these into equation (28) to calculate the predicted value of greenhouse gas emissions GHG_SOC associated with changes in soil carbon stocks.

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

[0150] The predicted value of greenhouse gas emissions from the production of plastic materials, PRD_GHG_PLA, can be calculated using the following equation (30). PRD_GHG_PLA=Σt(PLA×ka30) / YU (30) Here, PLA is the amount of plastic material used, ka is the greenhouse gas emission coefficient related to the production of plastic material, and YU is the number of years the plastic material is used.

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

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

[0154] The predicted value of greenhouse gas emissions from residue incineration, GHG_BUR, can be calculated using the following equation (32). GHG_BUR=Σt(BUR×ka32)×A (32) where BUR is the amount of residue incinerated, and ka32 is the greenhouse gas emission factor associated with residue incineration.

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

[0156] The calculation of greenhouse gas emission indices by the first evaluation information calculation unit 11d has been described above. 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 (chronicity) index, aquatic ecotoxicity index, terrestrial ecotoxicity index, land use (maintenance) index, land use (alteration) index, and resource consumption index using the same calculation method except for different values ​​of the impact coefficients.

[0157] In addition, the first evaluation information calculation unit 11d can calculate the human health index, social asset index, biodiversity index, and primary production index by the same calculation method except that a damage coefficient is used instead of an impact coefficient. In addition, the first evaluation information calculation unit 11d can calculate an 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] <<Calculation of the total nitrogen leaching index>> Next, the calculation of the total nitrogen leaching index will be explained in detail. The total nitrogen leaching index is the total nitrogen leaching amount, which is the sum of the nitrogen leaching amounts. The first evaluation information calculation unit 11d calculates the total nitrogen leaching amount by the following formula (33). NLEACH=NLEACH_FS +NLEACH_FO +NLEACH_FC +NLEACH_FM (33) Here, NLEACH_FS is the predicted amount of nitrogen leaching from the application of chemical fertilizer. NLEACH_FO is the predicted amount of nitrogen leaching from the application of organic fertilizer. NLEACH_FC is the predicted amount of nitrogen leaching from the application of compost. NLEACH_FM is the predicted amount of nitrogen leaching from the application of animal manure. Each predicted value is explained below.

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

[0160] The first evaluation information calculation unit 11d acquires the area of ​​the field 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 rate stored in the fertilizer analysis information DB12h, and substitutes these into equation (34) to calculate the predicted value NLEACH_FS of the amount of nitrogen leaching due to the application of chemical fertilizer.

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

[0162] The first evaluation information calculation unit 11d acquires the area of ​​the field 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 rate stored in the fertilizer analysis information DB12h, and can calculate the predicted value NLEACH_FO of the amount of nitrogen leaching due to the application of organic fertilizer by substituting these into equation (35).

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

[0164] The first evaluation information calculation unit 11d acquires the area of ​​the field 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 substitutes these into equation (36) to calculate the predicted value NLEACH_FC of the amount of nitrogen leaching due to the application of compost.

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

[0166] The first evaluation information calculation unit 11d acquires the area of ​​the field 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 rate stored in the compost analysis information DB12i, and substitutes these into equation (37) to calculate the predicted value NLEACH_FM of the amount of nitrogen leaching due to the application of animal manure.

[0167] The calculation of the total nitrogen leaching index by the first evaluation information calculation unit 11d has been described above. The first evaluation information calculation unit 11d can calculate the total phosphorus leaching index by the same calculation method except that it calculates the amount of phosphorus leaching from chemical fertilizer, organic fertilizer, compost, and animal manure, and the values ​​of the impact coefficients are different.

[0168] The second evaluation information calculation unit 11e calculates second evaluation information indicating the environmental impact of the recommended farming operation 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 layer depletion index, an acidification index, an urban air pollution index, a photochemical oxidant index, a hazardous chemical (carcinogenicity) index, a hazardous chemical (chronicity) index, an aquatic ecotoxicity index, a terrestrial ecotoxicity index, a land use (maintenance) index, a land use (alteration) index, and a resource consumption index. In addition, the second evaluation information further includes a human health index, a social asset index, a biodiversity index, a primary production index, and an integrated index, similar to the first evaluation information. The second evaluation information further includes a water resource consumption index, a total nitrogen leaching index, and a 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 can be compared with the first assessment information. The environmental assessment information output unit 11f may acquire the first assessment information and the second assessment information by receiving them via a telecommunications line NW, calculated by an external information processing device. By outputting the second assessment information in a state that can be compared with the first assessment information, it is possible to help producers understand the impact of agricultural activities on the environment. The environmental assessment information output unit 11f corresponds to the first farming information acquisition means, second farming information acquisition means, and environmental assessment information output means of the present invention.

[0171] The environmental assessment information output unit 11f transmits and outputs the second assessment information and the first assessment information to the producer terminal 30 via the telecommunications line NW, but is not limited to this. The environmental assessment information output unit 11f may store the second assessment information and the first assessment information in the environmental assessment server storage device 12. The environmental assessment information output unit 11f may also transmit the second assessment information to the transaction support server 20. This makes it possible to support commercial transactions based on the second assessment information between producers and prospective purchasers, 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) together with improvement guidance information acquired 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 the amount of greenhouse gas emissions equivalent to the first assessment information and the second assessment information in one year, and display this as improvement guidance information. This allows producers to easily understand the status of environmental improvement.

[0173] The improvement evaluation information calculation unit 11g calculates the improvement evaluation information by finding 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 degree to which the recommended farming practice can reduce the environmental impact compared to standard farming practices. Furthermore, the improvement evaluation information calculation unit 11g may calculate the degree of achievement of 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 the 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 the cumulative improvement evaluation information by accumulating the improvement evaluation information over multiple cultivation periods, which makes it possible to evaluate the impact of farming 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 transaction support server 20 will be described with reference to Figures 7 and 8. As described above, transaction support server 20 is a server device that supports commercial transactions based on environmental assessment information. Specifically, transaction support server 20 supports commercial transactions of carbon credits in which the amount of CO2 equivalent reduction included in the environmental assessment information is traded (equivalent to greenhouse gas commercial transactions in which the amount of greenhouse gas emission reduction or the amount of greenhouse gas absorption is traded in the present invention). Fig. 7 shows the functional configuration of transaction support server 20. As shown in Fig. 7, transaction support server 20 mainly comprises transaction support server control device 21 that controls transaction support server 20, and transaction support server storage device 22.

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

[0177] The registrant information DB 22a stores registration information of users (those wishing to sell or purchase carbon credits) who wish to trade carbon credits via the transaction support server 20. The registrant information DB 22a is updated when the transaction support server 20 receives registration information from the producer terminal 30 or the purchaser terminal 40. 8A shows an example of the data structure of the registrant information DB 22a. As shown in FIG. 8A, the registrant information DB 22a stores records having items such as user ID, name, address, contact information, and registration date. However, without being limited to this, the registrant information DB 22a may also store information related to payment methods used in conducting commercial transactions (e.g., information related to credit cards, etc.).

[0178] The user ID is identification information that can identify the registered user, and is stored as alphanumeric characters. The name may be the name of an individual who wishes to conduct business, or the name of a corporation or organization. The address and contact information are the address and email address of the registered user. However, without being limited to this, any information necessary to contact the user, such as a phone number, may also be stored. The registration date is date information that can identify the date on which the user was registered. In addition to the registration date, history information on commercial transactions that have been completed in the past may also be stored.

[0179] The sales information DB 22b stores sales information including information that can identify the seller and environmental assessment information. The sales information DB 22b is updated when sales information is received from the producer terminal 30 and when a commercial transaction is realized. 8B shows an example of the data structure of the sales information DB 22b. As shown in FIG. 8B, the sales information DB 22b stores records having the following fields: project ID, project owner, project area, summary, saleable amount, desired price, eutrophication, biodiversity, and primary production. However, without being limited thereto, the sales information DB 22b may further have the following fields: 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 identification information that can identify a project implemented for the purpose of environmental protection, and is stored as alphanumeric characters. The implementer is the name of the individual, corporation, or organization that implements the project, and is information that can identify a potential seller who wishes to conduct a commercial transaction. 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 is implemented. The latitude and longitude of the location where the project is implemented may also be stored. The overview stores information about the overview of the project, the type of project, or the purpose of the project.

[0181] The saleable amount is information that identifies the weight of carbon credits (CO2 equivalent) that can be sold as a result of the implementation of the project. The desired price is the desired trading price for carbon credits set by the seller. Eutrophication, biodiversity, and primary production are environmental assessment information calculated by the environmental assessment server 10, but are not limited to this. They may also be assessment values ​​evaluated by an external information processing device.

[0182] Returning to Fig. 7, transaction support program 22c is a program executed by transaction support server control device 21 and performs transaction support processing, which will be described later with reference to Fig. 11. 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 information acquisition unit 21b, a sales information output unit 21c, an inquiry information acquisition unit 21d, and an inquiry 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 the registration information of users who wish to trade carbon credits. More specifically, the registration information receiving unit 21a receives, via the telecommunications line NW, registrant information entered via an information communication terminal used by a person who wishes to sell or purchase carbon credits. The received registrant information is stored in the registrant information DB 22a.

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

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

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

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

[0189] <Producer Terminal 30> Next, we will explain the producer terminal 30. The producer terminal 30 mainly comprises a control device that controls the producer terminal 30, and a storage device. The control device of the producer terminal 30 has a CPU, a volatile memory, and a 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 basic cultivation information receiving means for receiving input of basic cultivation information. The received basic cultivation information is sent to the environment assessment server 10. The control device of the producer terminal 30 also functions as a second farming information receiving means for receiving input of second farming information, which is recommended farming information. The received second farming information is transmitted to the environmental assessment server 10.

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

[0192] <Purchaser terminal 40> Next, a description will be given of the purchaser terminal 40. The purchaser terminal 40 mainly comprises a control device that controls the purchaser terminal 40, and a storage device. The control device of the purchaser terminal 40 has a CPU, a volatile memory, and a 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 sales information acquisition means that transmits a request to acquire sales information to the transaction support server 20 and receives sales information from the transaction support server 20. The acquired sales information is displayed on a sales list output screen 41 (see FIG. 12). The control device of the purchaser terminal 40 also functions as an inquiry information receiving means for receiving the inquiry information input by the prospective purchaser. The received inquiry information is transmitted to the transaction support server 20.

[0194] <Administrator terminal 50> Next, a description will be given of the administrator terminal 50. The administrator terminal 50 mainly comprises 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 various functions are realized by loading programs stored in the storage device into the volatile memory and executing them.

[0195] Specifically, the control device of the manager terminal 50 functions as a farming information receiving means that receives registration of standard farming information to be stored in the environmental assessment server storage device 12. In addition, the control device of the administrator terminal 50 functions as an analysis information receiving means for receiving registered information for 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 assessment server memory device 12. The control device of the administrator terminal 50 also functions as a coefficient receiving means for receiving registration information of the coefficient DB 12 n stored in the environment assessment server storage device 12 .

[0196] <Environmental assessment process flow> Next, a description will be given of the environmental assessment process executed by the environmental assessment server control device 11 of the environmental assessment server 10. The environmental assessment process is executed when a request to execute the environmental assessment process is received from the producer terminal 30.

[0197] Figure 9 shows the flow of the environmental assessment process. As shown in Figure 9, the environmental assessment server control device 11 first acquires basic cultivation information (step S11). More specifically, the environmental assessment server control device 11 acquires information about the crops cultivated by the producer and the location and area of ​​the field where the crops are cultivated. The environmental assessment server control device 11 acquires the basic cultivation information from the producer terminal 30 via the basic cultivation information TBL 12a or the telecommunications line NW.

[0198] Next, the environmental assessment server control device 11 acquires first farming information (step S12). More specifically, the environmental assessment server control device 11 acquires standard first farming information related to the application of fertilizer, compost, and green manure, and the spraying of pesticides. The environmental assessment 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 pesticide information TBL12d. The environmental assessment server control device 11 may also acquire information related to the use of agricultural machinery in standard farming from the agricultural machinery information TBL12e. The environmental assessment server control device 11 may also acquire information related to the use of plastic materials in standard farming from the plastic material information TBL12f. The environmental assessment server control device 11 may also acquire information related to 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 fertilizer, compost, and green manure, as well as the spraying of pesticides. The environmental assessment server control device 11 can acquire the second farming information by reading it from the fertilizer / compost information TBL12b, the green manure information TBL12c, and the pesticide information TBL12d. The environmental assessment server control device 11 may also acquire the second farming information from the producer terminal 30 via the telecommunications line NW. The environmental assessment server control device 11 may also acquire information regarding the use of agricultural machinery in the recommended farming operation from the agricultural machinery information TBL12e. The environmental assessment server control device 11 may also acquire information regarding the use of plastic materials in the recommended farming operation from the plastic material information TBL12f. The environmental assessment server control device 11 may also 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 indicating the impact of standard farming on the environment based on the basic cultivation information and the first farming information (step S14). More specifically, the environmental assessment server control device 11 accesses the coefficient DB 12n to acquire impact coefficients, and performs product-sum operations of equations (1) to (32) to calculate the greenhouse gas index, eutrophication index, ozone layer depletion index, acidification index, urban air pollution index, photochemical oxidant index, hazardous chemicals (carcinogenicity) index, hazardous chemicals (chronicity) index, aquatic ecotoxicity index, terrestrial ecotoxicity index, land use (maintenance) index, land use (alteration) index, and resource consumption index related to the standard farming. Furthermore, the environment assessment server control device 11 can calculate the total nitrogen leaching index and the total phosphorus leaching index for standard farming by performing product-sum calculations of equations (33) to (37).

[0201] In addition, the environmental assessment server control device 11 can access the coefficient DB 12n to obtain the damage coefficient and perform product-sum operations similar to equations (1) to (32) to calculate the human health index, social asset index, biodiversity index, and primary production index for standard farming operations. In addition, the environmental assessment server control device 11 can access the coefficient DB 12n to obtain weighting coefficients, and calculate an integrated index by multiplying each of the human health index, social asset index, biodiversity index, and primary production index by the weighting coefficient and then calculating the sum.

[0202] Next, the environmental assessment server control device 11 calculates second environmental assessment information indicating the impact on the environment of the recommended farming operation 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 DB 12n to acquire impact coefficients, and performs product-sum operations of equations (1) to (32) to calculate the greenhouse gas index, eutrophication index, ozone layer depletion index, acidification index, urban air pollution index, photochemical oxidant index, hazardous chemicals (carcinogenicity) index, hazardous chemicals (chronicity) index, aquatic ecotoxicity index, terrestrial ecotoxicity index, land use (maintenance) index, land use (alteration) index, and resource consumption index for the recommended farming operation. Furthermore, the environment assessment server control device 11 can calculate the total nitrogen leaching index and the total phosphorus leaching index for the recommended farming operation by performing product-sum calculations of equations (33) to (37).

[0203] In addition, the environmental assessment server control device 11 can access the coefficient DB 12n to obtain the damage coefficient and perform product-sum operations similar to those in equations (1) to (32) to calculate the human health index, social asset index, biodiversity index, and primary production index for the recommended farming operations. In addition, the environmental assessment server control device 11 can access the coefficient DB 12n to obtain weighting coefficients, and calculate an integrated index by multiplying each of the human health index, social asset index, biodiversity index, and primary production index by the weighting coefficient and then calculating the sum.

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

[0205] Fig. 10 shows an example of the evaluation result output screen 31. As shown in Fig. 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 basic cultivation information display area 32 displays basic information about the producer and the field.

[0206] Second evaluation information calculated by the environmental evaluation server 10 for each cultivation period is output to the project evaluation result display area 33. Furthermore, the difference between the second evaluation information and the first evaluation information is output to the evaluation result comparison display area 34 as improvement evaluation information.

[0207] While FIG. 10 shows climate change, eutrophication, biodiversity, primary production, and water resource consumption, the display items are not limited to these. The display items 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. The display items may also be 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. The display items may be set by the producer or manager.

[0208] 10, environmental assessment information is output for three years, 2021, 2022, and 2023, but this is not limited to this. Environmental assessment information for one year may be output, or environmental assessment information for four years or more may be output. When environmental assessment information for multiple years is output, cumulative improvement assessment information obtained by adding up improvement assessment information for multiple cultivation periods is output as a total value in the assessment result comparison display area 34. This allows producers to evaluate the impact of farming on the environment from a long-term perspective.

[0209] Furthermore, improvement guidance information to assist in understanding the improvement evaluation information may be output in the evaluation result comparison display area 34. The improvement guidance information is complementary guidance information for understanding the degree to which the impact of farming on the environment can be improved. The improvement guidance information allows even producers without specialized knowledge to easily understand the impact of farming on the environment.

[0210] 10, the evaluation result output screen 31 has been described as having the project evaluation result display area 33 and the evaluation result comparison display area 34, but 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 viewing the first evaluation information and the second comparison information, producers can easily grasp the effects of the recommended farming project.

[0211] The evaluation result output screen 31 may further have a display area for displaying the degree of achievement of a preset goal. By recognizing the degree of achievement of the goal, producers can grasp the effectiveness of the recommended farming project.

[0212] <Transaction support process flow> Next, a description will be given of the transaction support process executed by the transaction support server control device 21 of the transaction support server 20. In the following description, it is assumed that the sales information is stored in the sales information DB 22b prior to the execution of the transaction support process.

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

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

[0215] Fig. 12 shows an example of the sales wish list output screen 41. As shown in Fig. 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 a query button 45. A search target string can be entered in the search condition input area 42. By entering a search target string in the search condition input area 42 and pressing the search button 43, a prospective purchaser using the purchaser terminal 40 can narrow down the sales information displayed in the sales request list display area 44.

[0216] The sales request list display area 44 displays carbon credit sales information entered by the potential seller. The sales request information includes fields such as an identification number, the project owner who is the potential seller, a project summary, the amount of CO2 equivalent that can be sold, the desired price, and environmental assessment information. However, without being limited to these, the sales request information may also include fields related to the project owner's contact information. In addition, in FIG. 12, the environmental assessment information displays assessment results for eutrophication, biodiversity, primary production, and water resource consumption, but is not limited to these. The environmental assessment information may also include ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenicity), hazardous chemicals (chronicity), aquatic ecotoxicity, terrestrial ecotoxicity, land use (maintenance), land use (modification), resource consumption, human health, social assets, integration, total nitrogen leaching, and total phosphorus leaching. The assessment results displayed in the environmental assessment information may be customizable by the potential buyer. The transaction support server 20 deals with CO2 equivalents, but does not deal with eutrophication, biodiversity, primary production, or water resource consumption, which are displayed in the environmental assessment information. In other words, the environmental assessment information is reference information used in commercial transactions involving carbon credits.

[0217] Potential buyers can select the carbon credits they wish to purchase by viewing the sales wish list display area 44. In addition, potential buyers can comprehensively evaluate the impact of agricultural activities on the environment by viewing the environmental assessment information, and can select an appropriate purchase target after correctly understanding the impact of agricultural activities on the environment.

[0218] 11, the transaction support server control device 21 determines whether the inquiry button 45 on the sales wish 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 transmits the identification number of the selected sales information (corresponding to sales specification information) and inquiry information including the user ID of the prospective purchaser to the producer terminal 30 and notifies it (step S24). The inquiry information may include inquiry information regarding the project. The inquiry information may also include information regarding a desire to purchase carbon credits. The inquiry information corresponds to the purchase information of the present invention. This completes the transaction support processing executed by transaction support server control device 21, but transaction support server control device 21 may further execute processing required for settlement.

[0220] Through the above transaction support process, potential buyers can communicate their desire to purchase carbon credits to potential sellers by submitting inquiry information. The environmental assessment information includes CO2 equivalent emissions as well as 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, water resource consumption, total nitrogen leaching, and total phosphorus leaching. This allows for a comprehensive assessment of the environmental impact of agricultural activities and allows for accurate understanding of the impact of agricultural activities before selecting a purchase target.

[0221] Although the environmental evaluation system 1 according to one embodiment of the present invention has been described, the above-described embodiment is merely an example for facilitating understanding of the present invention and is not intended to limit the present invention. In other words, the present invention can be modified and improved without departing from the spirit thereof, and of course, the present invention also includes equivalents thereof. The above-described embodiment of the commercial transaction has been described as including carbon credits as the subject of trade, but excluding 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, integrated primary production, water resource consumption, total nitrogen leaching, and total phosphorus leaching. However, the commercial transaction may include these as the subject of trade along with carbon credits.

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

[0223] The sales information is displayed in the sales list display area 44A. The sales information includes the following items: identification number, project owner, project summary, 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 includes, but is not limited to, the results of assessments of biodiversity, primary production, and water resource consumption.

[0224] In a modified example, trading support server 20 trades CO2 equivalents and phosphate ion equivalents as credits. However, without being limited to this, trading support server 20 may trade environmental assessment results for ozone depletion, acidification, urban air pollution, photochemical oxidants, hazardous chemicals (carcinogenicity), 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, trading environmental assessment results other than CO2 equivalents as credits along with CO2 equivalents enables broader and more flexible environmental business transactions and more proactively promotes global environmental protection.

[0225] In the above-described embodiment, the environmental assessment system 1 has been described as being realized by a distributed system composed of a client device and a server device, but this is not limited to this. The functions of the above-described environmental assessment server 10 may be realized by a standalone information processing device. As a specific example, by installing a program that realizes the functions of the environmental assessment server 10 in the producer terminal 30, part of the environmental assessment system 1 can be realized 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] In the above-described embodiment, the first farming information acquisition unit 11b and the second farming information acquisition unit 11c are described as acquiring fuel consumption information related to consumed fuel, but this is 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 the power consumption information together with the fuel consumption information. [Explanation of symbols]

[0227] 1. Environmental Assessment System 10 Environmental Assessment 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 Material Information TBL 12g Residue Incineration Information TBL 12h Fertilizer analysis information DB 12i Compost analysis information DB 12j Green manure analysis information DB 12k Pesticide Analysis Information DB 12l Agricultural machinery analysis information DB 12m Plastic Material Analysis Information DB 12n coefficient DB 12o Environmental Assessment Program 20 Transaction Support Server 21 Transaction support server control device 21a Registration Information Reception Department 21b Sales information acquisition unit (sales information acquisition means) 21c Sales desired information output unit (sales desired information output means) 21d Inquiry information acquisition unit (purchase information acquisition means) 21e Inquiry request information notification unit (purchase request information notification means) 22 Transaction support server storage device 22a Registered User Information DB 22b Sales Information DB 22c Trade Support Program (Commerce Support Program) 30 Producer terminal (seller terminal) 31 Environmental assessment information output screen 32 Basic cultivation information display area 33 Project evaluation result display area 34 Evaluation result comparison display area 40 Buyer terminal 41, 41A Sales wish list output screen 42 Search criteria input area 43 Search button 44, 44A Sales wish list display area 45 Inquiry button 50 Administrator terminal NW telecommunications lines

Claims

1. The computer of the environmental assessment device that evaluates the impact of agricultural activities on the environment, a first farming information acquisition means for acquiring first evaluation information that indicates the impact on the environment of farming related to the registered first farming information, the first evaluation information being calculated based on field information that can identify the location and area of ​​the field and the crops cultivated in the field, and first farming information that is registered in advance via an administrator terminal used by an administrator of the environmental assessment device as farming information related to the application of fertilizers, compost, and green manure and the spraying of pesticides used in the area where the crops are cultivated; a second farming information acquisition means for acquiring second evaluation information that indicates the impact of the farming operations carried out by the producer on the environment, the second evaluation information being calculated based on the field information and second farming information that is different from the first farming information and that is input via a producer terminal used by the producer as farming information related to the application of fertilizers, compost, and green manure and the spraying of pesticides used by the producer in cultivating the crops in the field; functioning as an environmental evaluation information output means for outputting the second evaluation information in a state that can be compared with the first evaluation information; The first evaluation information and the second evaluation information include a greenhouse gas index indicating the amount of greenhouse gas emissions associated with farming, a eutrophication index indicating the impact of the farming on eutrophication together with the greenhouse gas index, an ozone depletion index indicating the impact of the farming on ozone layer depletion, an acidification index indicating the impact of the farming on acidification, an urban air pollution index indicating the impact of the farming on urban air pollution, a photochemical oxidant index indicating the impact of the farming on photochemical oxidants, a hazardous chemical substance (carcinogenicity) index indicating the impact of hazardous chemical substances (carcinogenicity) associated with the farming, a hazardous chemical substance (chronic) index indicating the impact of hazardous chemical substances (chronic) associated with the farming, an aquatic ecotoxicity index indicating the impact of aquatic ecotoxicity associated with the farming, and a terrestrial ecotoxicity index indicating the impact of terrestrial ecotoxicity associated with the farming. an environmental assessment program comprising at least one of a productivity index, a land use (maintenance) index indicating the impact of the farming operation on land use (maintenance), a land use (alteration) index indicating the impact of the farming operation on land use (alteration), a resource consumption index indicating the impact of the farming operation on resource consumption, a human health index indicating the impact of the farming operation on human health, a social asset index indicating the impact of the farming operation on social assets, a biodiversity index indicating the impact of the farming operation on biodiversity, a primary production index indicating the impact of the farming operation on primary production, an integrated index indicating the overall impact of the farming operation on the environment, a water resource consumption index indicating the amount of water resource consumption associated with the farming operation, a total nitrogen leaching index indicating the total amount of nitrogen leaching associated with the farming operation, and a total phosphorus leaching index indicating the total amount of phosphorus leaching associated with the farming operation.

2. The computer further functioning as an improvement evaluation information calculation means for calculating a difference or ratio between the second evaluation information and the first evaluation information as improvement evaluation information; 2. The environmental assessment program according to claim 1, wherein the improvement assessment information calculation means calculates cumulative improvement assessment information by accumulating the improvement assessment information over two or more cultivation periods of the agricultural crops.

3. The computer further functioning as an improvement evaluation information calculation means for calculating a difference or ratio between the second evaluation information and the first evaluation information as improvement evaluation information; The environmental assessment program according to claim 1, characterized in that the environmental assessment information output means outputs the improvement assessment information together with improvement guidance information obtained based on at least one of the first assessment information and the second assessment information.

4. An environment evaluation device including the computer, An environmental assessment device that causes a computer to execute the environmental assessment program according to any one of claims 1 to 3.

Images