Agricultural environmental information generating device and generating method, agricultural environmental information display system, and plant growth prediction system

Abstract

To provide a technique for discerning an environmental factor in an agricultural environment.SOLUTION: A creation device (10) for creating agricultural environment information, includes an acquisition unit (12) that acquires sensing data obtained by a plurality of sensors in an agricultural environment, a calculation unit (13) that calculates an acquisition rate of sensing data, an extraction unit (14) that extracts sensing data the acquisition rate of which is equal to or greater than a prescribed threshold, and a creation unit (15) that creates agricultural environment information based on the sensing data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an agricultural environment information generating device and generating method, an agricultural environment information display system, and a plant growth prediction system. [Background technology]

[0002] In recent years, greenhouses have become larger as large-scale operations enter the greenhouse horticulture industry. In large greenhouses, the expansive nature of the greenhouse makes it difficult to maintain consistent environmental factors such as temperature and humidity throughout the greenhouse, and environmental factors can vary depending on the location within the greenhouse. This environmental unevenness, where environmental factors vary depending on the location within the greenhouse, occurs in three dimensions, both vertically and horizontally. This environmental unevenness can lead to differences in crop growth and harvest quality, which can be a major problem for greenhouse management. To prevent this unevenness and control the greenhouse environment to maintain consistent environmental factors, it is necessary to accurately understand the environmental factors within the greenhouse.

[0003] A technology using sensors is known as a technology for understanding environmental factors inside a greenhouse. Patent Document 1 describes a greenhouse information management device that visualizes greenhouse environment information based on data acquired from sensors and displays the visualized information to a user. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-7339 Summary of the Invention [Problem to be solved by the invention]

[0005] In large greenhouses, sensors must be installed at multiple points within the greenhouse, but depending on the sensor's installation location, sensing and data transfer may be hindered by the greenhouse's frame members or plants. Even if the data acquisition environment is good when the sensor is installed, there is a risk that the data acquisition environment will deteriorate as the plants grow. If such sensing or data transfer problems occur, the data acquisition conditions will deteriorate, making it impossible to obtain necessary data, and there is a risk that environmental factors within the greenhouse will not be fully understood.

[0006] In order to utilize sensing data while taking into account the data acquisition status, technologies and software with the information processing capabilities to appropriately process huge amounts of sensing data are required, and implementation at production sites is not easy. Also, in order to respond to deterioration in data acquisition status as plants grow, it is necessary to check the data acquisition status over time.

[0007] The technology described in Patent Document 1 does not take into consideration the data acquisition conditions, and therefore may not be able to fully grasp the environmental factors within the greenhouse.

[0008] One aspect of the present invention has been made to solve the above-mentioned problems, and its purpose is to provide a technology for understanding environmental factors in an agricultural environment, including the plant cultivation environment, taking into account the data acquisition situation. [Means for solving the problem]

[0009] A generating device according to one aspect of the present invention is a generating device that generates agricultural environment information that represents the state of an agricultural environment, and is equipped with an acquisition unit that acquires sensing data acquired by a plurality of sensors installed in the agricultural environment, a calculation unit that calculates the acquisition rate of the sensing data, an extraction unit that refers to the acquisition rate within a specified period and extracts the sensing data when the acquisition rate is equal to or greater than a specified threshold, and a generating unit that generates the agricultural environment information based on the extracted sensing data.

[0010] An agricultural-environmental information display system according to one aspect of the present invention includes a generating device according to one aspect of the present invention and a display device that displays the agricultural-environmental information generated by the generating device.

[0011] A plant growth prediction system according to one embodiment of the present invention includes a generating device according to one embodiment of the present invention and a prediction device that predicts the degree of growth of plants growing in the agricultural environment based on the agricultural environment information generated by the generating device.

[0012] A generation method according to one aspect of the present invention is a method for generating agricultural environment information representing the state of an agricultural environment, and includes an acquisition step for acquiring sensing data acquired by a plurality of sensors installed in the agricultural environment, a calculation step for calculating the acquisition rate of the sensing data, an extraction step for referring to the acquisition rate within a specified period and extracting the sensing data when the acquisition rate is equal to or greater than a specified threshold, and a generation step for generating the agricultural environment information based on the extracted sensing data. [Effects of the Invention]

[0013] According to one aspect of the present invention, a technique can be provided for understanding environmental factors in an agricultural environment, taking into account the data acquisition situation. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a block diagram showing an example of the configuration of the main parts of an agricultural environmental information display system according to one embodiment of the present invention. [Figure 2] FIG. 1 shows the inside of a greenhouse, an agricultural environment. [Figure 3] FIG. 1 is a diagram illustrating the installation location of sensors in an agricultural environment. [Figure 4] 10 is a graph showing an example of an acquisition rate of sensing data calculated by a generating device according to an aspect of the present invention. [Figure 5] FIG. 1 is a diagram showing an example of agricultural environment information generated by a generating device according to an aspect of the present invention. [Figure 6]10 is a flowchart illustrating an example of a generation process executed by a generation device according to an aspect of the present invention. [Figure 7] 10 is a flowchart illustrating another example of the generation process executed by the generation device according to an aspect of the present invention. [Figure 8] 1 is a block diagram showing an example of a configuration of a main part of a plant growth prediction system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0015] [Agricultural Environment Information Display System] The present invention provides an agricultural environment information display system including an agricultural environment information generating device according to an embodiment of the present invention, and a display device for displaying the agricultural environment information. The agricultural environment information generating device according to an embodiment of the present invention generates agricultural environment information that represents the state of an agricultural environment.

[0016] Agricultural environment information may be information representing environmental factors that affect plant growth or animal rearing in a cultivation environment where plants are grown or a rearing environment where animals are raised. Examples of such environmental factors include temperature, humidity, carbon dioxide concentration, light conditions, wind speed, etc. Agricultural environments are intended to refer to spaces for growing plants or rearing animals, and may be open or closed spaces. Examples of agricultural environments include fields, greenhouses, plant factories, screen houses, rain shelters, livestock barns, etc.

[0017] The agricultural environment information display system according to one aspect of the present invention provides agricultural environment information to help farmers properly understand environmental factors in the agricultural environment and also to support cultivation management. The agricultural environment information display system according to one aspect of the present invention can be used to understand the suitability of the agricultural environment for plant growth by providing agricultural environment information.

[0018] A display system (agricultural environmental information display system) 100 will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of a main configuration of the display system 100 according to one embodiment of the present invention. The display system 100 includes a generating device 10 and a display device 20. The display system 100 further includes an input device 30 and a storage device 40. The display system 100 may include the generating device 10 and the display device 20 as independent devices, or may include them integrated into a single device.

[0019] (Generation device 10) The generating device 10 is a device that generates agricultural environment information that represents the state of environmental factors in an agricultural environment. The generating device 10 includes an acquisition unit 12, a calculation unit 13, an extraction unit 14, and a generation unit 15. The generating device 10 also includes a control unit 11 that controls these units of the generating device 10. The control unit 11 is realized, for example, by a processor and a memory. In this example, the processor accesses a storage (not shown), loads a program (not shown) stored in the storage into the memory, and executes a series of instructions included in the program. This constitutes each unit of the control unit 11. As each unit, the control unit 11 includes an acquisition unit 12, a calculation unit 13, an extraction unit 14, a generation unit 15, a determination unit 16, and an interpolation unit 17.

[0020] <Acquisition part 12> The acquisition unit 12 acquires sensing data acquired by multiple sensors installed in the agricultural environment. The acquisition unit 12 may acquire the sensing data continuously, or may acquire the sensing data at predetermined intervals or when the input device 30 receives an input from a user indicating that acquisition of sensing data should begin. The acquisition unit 12 outputs the acquired sensing data to the calculation unit 13.

[0021] The sensors that acquire sensing data are permanently installed in the agricultural environment and connected to the acquisition unit 12 via wired or wireless communication. The sensors transmit sensing data obtained by sensing to detect or measure environmental factors in the agricultural environment to the acquisition unit 12. The sensors may constantly sense the environmental factors, may sense the environmental factors at predetermined intervals, or may sense the environmental factors when the input device 30 receives an input from the user to start sensing. The sensors may also transmit sensing data to the acquisition unit 12 each time they acquire it, or may transmit sensing data to the acquisition unit 12 when the input device 30 receives an input from the user to start acquiring sensing data. Examples of sensors that can be used include thermometers, hygrometers, carbon dioxide concentration measuring devices, and solar radiation measuring devices.

[0022] Here, the agricultural environment in which the sensors are installed and the installation positions of the sensors will be described with reference to Figures 2 and 3. Figure 2 is a diagram showing the inside of a greenhouse, which is an agricultural environment. Figure 3 is a diagram explaining the installation positions of sensors in an agricultural environment. Large greenhouses such as the one shown in Figure 2 have an area of ​​1 hectare or more, and some have eaves heights of about 5 meters. There are also cases where several such large greenhouses are connected together.

[0023] In such large greenhouses, environmental factors tend to vary in the width, depth, and eave directions, which can lead to environmental variations within the greenhouse. For example, the temperature and humidity can vary significantly between the center and the side walls of the greenhouse, and the amount of solar radiation can vary significantly between the ceiling and the ground. Therefore, it is preferable to install multiple sensors in directions where environmental variations within the greenhouse are likely to occur, thereby accurately detecting or measuring the environmental factors at each installation position and understanding the environmental factors within the greenhouse as a whole.

[0024] The acquisition unit 12 acquires sensing data acquired by a plurality of sensors installed in the frontage direction, depth direction, and eave height direction of the agricultural environment, as shown in Fig. 3. The number of sensors installed in the agricultural environment is not particularly limited.

[0025] <Calculation unit 13> The calculation unit 13 calculates the sensing data acquisition rate. The sensing data acquisition rate is an index showing the operating status of the sensor. As an example, the calculation unit 13 calculates the number of sensing data acquired per unit time from each sensor, and calculates the proportion of points where the acquired number is equal to or greater than a predetermined threshold as the sensing data acquisition rate per unit time. The calculation unit 13 outputs the calculated sensing data acquisition rate to the extraction unit 14.

[0026] The sensing data acquisition rate can be defined, for example, as shown in the following equation (1).

number

[0027] When using formula (1), the calculation unit 13 first counts the number of pieces of sensing data acquired per unit time at a specific sensor installation point. Here, the unit time can be any time, such as one hour or two hours. The threshold value for the data acquisition rate is a threshold value for the data acquisition rate per sensor set by the user, and is set to, for example, 0.8, 0.9, etc. Then, the calculation unit 13 uses formula (1) to calculate the data acquisition rate per unit time over a predetermined period.

[0028] Using the data acquisition rate per unit time calculated by the calculation unit 13, it is possible to generate a graph showing the time variation of the data acquisition rate, as shown in Fig. 4, for example. Fig. 4 is a graph showing an example of the sensing data acquisition rate calculated by the calculation unit 13 of the generation device 10. In Fig. 4, the vertical axis represents the data acquisition rate (%) and the horizontal axis represents time. As an example, the threshold for the data acquisition rate of each sensor that measures temperature is set to 80%, and the rate of sensors that exceed the threshold is shown as the data acquisition rate.

[0029] The generating device 10 may generate a graph showing the time variation of the acquisition rate of the sensing data as shown in Fig. 4 and present it to the user by displaying it on the display device 20. By presenting such a graph to the user, the user can easily and accurately grasp the acquisition status of the sensing data.

[0030] <Extraction part 14> The extraction unit 14 refers to the acquisition rate of sensing data within a predetermined period, and extracts the sensing data when the acquisition rate is equal to or greater than a predetermined threshold. The extraction unit 14 extracts sensing data from a period when the acquisition rate of sensing data is high. The extraction unit 14 outputs the extracted sensing data to the generation unit 15. The extraction unit 14 may output information about the extracted period to the generation unit 15 together with the extracted sensing data.

[0031] For example, in the case of the data acquisition rate shown in Figure 4, the extraction unit 14 extracts sensing data for the period indicated by the dashed circle. This period is a period in which the data acquisition rate exceeds the minimum data acquisition rate set by the user and remains high, and can be said to be a period in which data acquisition is good. Note that, in order to ignore localized data loss, a period in which the data acquisition rate is below the minimum data acquisition rate for less than five unit hours can also be considered a period in which the data acquisition rate is good.

[0032] Data from periods when the acquisition rate of sensing data is low may be unreliable and may not accurately capture environmental factors within the agricultural environment. By using the extraction unit 14 to extract data from periods when the acquisition rate of sensing data is high, it is possible to use only data that is highly reliable and accurately captures environmental factors within the agricultural environment.

[0033] <Generation part 15> The generating unit 15 generates agricultural environment information based on the extracted sensing data. The agricultural environment information generated by the generating unit 15 may include the numerical values ​​of the sensing data themselves, but it is preferable that the sensing data is displayed in a form that is easy for the user to understand. As an example, the generating unit 15 may generate images, videos, etc. that represent the sensing data as agricultural environment information.

[0034] The generating unit 15 may generate, as agricultural environment information, a distribution map that displays the extracted sensing data in correspondence with the positions where the multiple sensors are installed in the space within the agricultural environment. The distribution map of the sensing data may be one that grasps the three-dimensional distribution from multiple two-dimensional distribution maps, or may be a three-dimensional distribution map.

[0035] The agricultural environment information generated by the generating unit 15 may be, for example, a spatial distribution map as shown in FIG. 5. FIG. 5 is a diagram showing an example of agricultural environment information generated by the generating unit 15 of the generating device 10. In FIG. 5, the sensors are installed at a uniform height, and two-dimensional contour maps are shown in the horizontal plane at each height (upper, middle, and lower). In addition, in FIG. 5, the line thickness is given a gradation according to the magnitude of the numerical value in the overall sensing data within the agricultural environment, and the numerical value of the sensing data is shown on the line. This makes it possible to represent the agricultural environment information in a way that makes it easy to visually grasp environmental factors within the agricultural environment, particularly environmental unevenness. Note that the agricultural environment information may also be represented by giving a gradation to the color of the line according to the magnitude of the numerical value in the overall sensing data.

[0036] The agricultural environment information generated by the generation unit 15 makes it easy to visually grasp the state of environmental factors within the agricultural environment and the occurrence of environmental unevenness, making it possible to easily and accurately grasp the environmental factors within the agricultural environment.

[0037] The generating unit 15 may generate agricultural environment information using the extracted sensing data as is, or may calculate an average value of the sensing data for a period or time period specified by the user. That is, the generating unit 15 may generate agricultural environment information using the average value of the extracted sensing data. The distribution diagram shown in Fig. 5 shows, as an example, the average values ​​of temperatures sensed from 11:00 to 14:00 for a specified five-day period.

[0038] <Judgment part 16> The determination unit 16 determines whether or not there is missing data in the extracted sensing data. There may be unavoidable missing data in the sensing data extracted by the extraction unit 14. Therefore, in order to more accurately grasp environmental factors in the agricultural environment, the determination unit 16 may determine whether or not there is missing data in the sensing data extracted by the extraction unit 14. The determination unit 16 determines whether or not there is missing data by determining whether or not the sensing data extracted by the extraction unit 14 includes sensing data from all sensors, i.e., whether or not there is any missing data.

[0039] The determination unit 16 outputs the determination result of data loss to the interpolation unit 17. When the determination unit 16 determines that there is data loss, it may output information about the sensor that was supposed to acquire the lost data to the interpolation unit 17 together with the determination result.

[0040] <Interpolation section 17> When there is missing data in the sensing data, the interpolation unit 17 references other data in the sensing data to interpolate the missing data. Based on information about the sensor that was supposed to acquire the missing data, the interpolation unit 17 interpolates the missing data that was supposed to be acquired by the sensor. The interpolation unit 17 outputs the sensing data in which the missing data has been interpolated to the generation unit 15.

[0041] The interpolation unit 17 can use a conventionally known data interpolation method to interpolate missing data. The interpolation unit 17 may refer to the distance between the sensor with missing data and another sensor and interpolate missing data from sensing data from the other sensor. As an example, the interpolation unit 17 may interpolate data by referring to the distance between the sensor with missing data and a nearby sensor, or may interpolate data by referring to the distance between the sensor with missing data and a sensor that is not nearby. An example of a data interpolation method used by the interpolation unit 17 is the inverse distance weighting method. According to the inverse distance weighting method, for example, the data to be interpolated can be calculated using the following equation (2).

number

[0042] The inverse distance weighting method is a technique mainly used in geographic information systems, and the missing data u(x) of the target point x can be calculated using equation (2) by using a weighting coefficient wi defined as the inverse of the qth power (q is usually 1 to 2) of the distance d(x,xi) between the target point x and the surrounding points xi. All measurement points in the greenhouse can be used as the surrounding points.

[0043] The extraction unit 14 extracts sensing data from periods with a high acquisition rate, but there may be unavoidable data loss even in the sensing data from such periods. Even in such cases, the determination unit 16 determines whether there is data loss in the sensing data, and the interpolation unit 17 interpolates the lost data, thereby generating agricultural environment information that accurately represents environmental factors within the agricultural environment.

[0044] The display device 20 displays the agricultural environment information generated by the generating device 10. The display device 20 may also display the acquisition rate of the sensing data calculated by the generating device 10. The agricultural environment information may be, for example, a distribution map that displays the sensing data in correspondence with the positions where multiple sensors are installed in the space within the agricultural environment.

[0045] The display device 20 displays the information as an image, for example. The display device 20 may also be a display of a mobile device such as a smartphone that displays the agricultural environment information generated by the generation device 10.

[0046] The input device 30 accepts input operations by a user to the display system 100. For example, the input device 30 accepts an input to start generating agricultural-environmental information in the generating device 10. The input device 30 also accepts an input to display agricultural-environmental information on the display device 20.

[0047] The storage device 40 stores programs and data used in the display system 100 and the prediction system 110 described below. The storage device 40 stores, as an example, various data input via the input device 30. The storage device 40 also stores, as an example, training data used to generate a prediction model in the model generation device 10 and the generated prediction model. The storage device 40 also stores, as an example, a prediction model, input information, and output information used in the prediction device 120 to predict the growth of horticultural crops such as tomatoes, strawberries, and cucumbers. The storage device 40 may have a database on a cloud or a server that stores various data.

[0048] The generating device 10 takes into account the data acquisition status of the sensors and generates agricultural environment information using only data from periods when data acquisition status is good, thereby generating agricultural environment information that accurately represents environmental factors within the agricultural environment. Therefore, by using the agricultural environment information generated in this manner, environmental factors within the agricultural environment, such as environmental unevenness that occurs within the agricultural environment, can be accurately understood. Furthermore, even if there are gaps in the sensing data, the generating device 10 can generate agricultural environment information that accurately represents environmental factors within the agricultural environment by interpolating the missing data.

[0049] Sensors installed in agricultural environments are often installed outdoors or in environments where water is constantly used, making the environment harsh and prone to failure, but data acquired from sensors used in harsh environments can be effectively utilized by taking into account the data acquisition conditions of the sensors using the generation device 10. By controlling the environment based on sensing data that takes into account the data acquisition conditions, it is also possible to achieve high-quality, planned agricultural production.

[0050] (Generation process) The flow of the generation process (generation method) of agricultural environmental information by the generation device 10 will be described with reference to Figs. 6 and 7. Fig. 6 is a flowchart showing an example of the generation process executed by the generation device according to one embodiment of the present invention. Fig. 7 is a flowchart showing another example of the generation process executed by the generation device according to one embodiment of the present invention.

[0051] 6, first, the acquisition unit 12 acquires sensing data acquired by a plurality of sensors installed in a greenhouse, which is an agricultural environment (step S1, acquisition step). Next, the calculation unit 13 calculates the acquisition rate of the sensing data acquired by the acquisition unit 12 (step S2, calculation step). The extraction unit 14 refers to the acquisition rate within a predetermined period calculated by the calculation unit 13, and extracts sensing data for a period in which the acquisition rate is equal to or greater than a threshold (step S3, extraction step).

[0052] The generating unit 15 then calculates an average value for each sensor that acquired the sensing data extracted by the extracting unit 14 (step S4). Next, the generating unit 15 generates a distribution map, as agricultural environment information, in which the calculated average values ​​are displayed in correspondence with the positions of the sensors that acquired the sensing data (step S5, generating step). The generating unit 15 then outputs the generated distribution map to the display device 20 and displays it on the display device 20 (step S6), thereby completing the generation process.

[0053] The generation process shown in Fig. 7 is a process for generating agricultural environmental information when there is a missing piece of sensing data. As shown in Fig. 7, the processes by the acquisition unit 12, calculation unit 13, and extraction unit 14 in steps S1 to S3 are the same as those in the generation process shown in Fig. 6. In the generation process shown in Fig. 7, first, the average value of the sensing data is calculated (step S14). Next, the determination unit 16 determines whether there is a missing piece of data in the sensing data (step S15).

[0054] In step S15, when the determination unit 16 determines that there is missing data in the sensing data (YES), the interpolation unit 17 refers to data at points where there is no missing data, interpolates the missing data (step S16), and proceeds to step S17. In step S15, when the determination unit 16 determines that there is no missing data in the sensing data (NO), proceeds to step S17.

[0055] The generation unit 15 calculates an average value for each sensor of the sensing data extracted by the extraction unit 14 or the sensing data interpolated by the interpolation unit 17 (step S16). Next, the generation unit 15 generates, as agricultural environment information, a distribution map in which the calculated average values ​​are displayed in correspondence with the positions of the sensors that acquired the sensing data (step S17). Then, the generation unit 15 outputs the generated distribution map to the display device 20 and displays it on the display device 20 (step S18), thereby completing the generation process.

[0056] With this configuration, the state of environmental factors within the agricultural environment can be visualized and understood, and the agricultural environment can be managed to reduce the occurrence of environmental unevenness, thereby reducing the waste of energy used to control the agricultural environment. Furthermore, with this configuration, appropriate control of the agricultural environment can promote appropriate plant growth, thereby realizing a stable food supply. This can contribute to the achievement of the Sustainable Development Goals (SDGs).

[0057] [Software implementation example] The generation device according to each aspect of the present invention may be realized by a computer. In this case, the cultivation management information generation control program of the generation device, which realizes the device by a computer by causing the computer to operate as each part (software element) of the device, and the computer-readable recording medium on which it is recorded, also fall within the scope of the present invention.

[0058] The functions of the generating device 10 (hereinafter referred to as the "device") can be realized by a program for causing a computer to function as the device, and a program for causing a computer to function as each control block of the device (particularly each part included in the control unit 11).

[0059] In this case, the device includes a computer having at least one control device (e.g., a processor) and at least one storage device (e.g., a memory) as hardware for executing the program. The control device and storage device execute the program, thereby realizing the functions described in each of the above embodiments.

[0060] The program may be non-transitory and may be recorded on one or more computer-readable recording media. The recording media may or may not be included in the device. In the latter case, the program may be supplied to the device via any wired or wireless transmission medium.

[0061] Furthermore, some or all of the functions of the control blocks can be realized by logic circuits. For example, an integrated circuit in which a logic circuit that functions as each of the control blocks is formed is also included in the scope of the present invention. In addition, the functions of the control blocks can also be realized by, for example, a quantum computer.

[0062] Furthermore, each process described in the above embodiment may be executed by AI (Artificial Intelligence). In this case, the AI ​​may run on the control device or on another device (for example, an edge computer or a cloud server).

[0063] [Plant growth prediction system] A plant growth prediction system according to one embodiment of the present invention includes a generation device according to the above-described embodiment of the present invention and a prediction device that predicts the degree of growth of plants growing in an agricultural environment based on agricultural environment information generated by the generation device.

[0064] Environmental factors in the agricultural environment in which plants are grown affect plant growth, and differences in environmental factors can affect the degree of growth, such as plant components and growth rate. For example, it is known that the sugar content and harvest time of fruit vegetables and fruits such as tomatoes vary depending on the temperature during the growing period.

[0065] Environmental factors that affect plant growth may vary depending on the plant's location, height, etc. in the agricultural environment. For example, in a greenhouse, the temperature and humidity may be different between plants located near the center and those located further out, and the amount of solar radiation may differ between the same plant at higher and lower positions.

[0066] By referring to the agricultural environment information generated by a generating device according to one embodiment of the present invention, it is possible to grasp the environmental factors that affect plant growth for each plant's location within the agricultural environment, thereby making it possible to predict differences in the degree of growth based on differences in environmental factors.

[0067] A plant growth prediction system 110 will be described with reference to Fig. 8. Fig. 8 is a block diagram showing an example of a configuration of a main part of the plant growth prediction system 110 according to one embodiment of the present invention. The plant growth prediction system 110 includes a prediction device 120 in addition to the display system 100 shown in Fig. 1. The prediction device 120 includes a control unit 121, and the control unit 121 includes an acquisition unit 122 and a prediction unit 123.

[0068] The acquisition unit 122 acquires the agricultural environment information generated by the generation device 10. The prediction unit 123 refers to the agricultural environment information and predicts the degree of growth of plants growing in the agricultural environment. For example, the prediction unit 123 calculates an integrated value of environmental factors for each sensor installation position in the agricultural environment over a predetermined period based on the agricultural environment information, and predicts plant components and harvest time based on the integrated value of temperature. As an example, the prediction unit 123 may predict the degree of plant growth using a prediction model constructed to input the agricultural environment information and output the degree of plant growth. As such a prediction model, a prediction model constructed by a conventionally known method can be used.

[0069] The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present invention. [Explanation of symbols]

[0070] 10 Generator 12 Acquisition Department 13 Calculation section 14 Extraction part 15 Generation part 16 Judgment section 17 Interpolation section 20 Display device 100 Display System (Agricultural Environmental Information Display System) 110 Plant Growth Prediction System

Claims

1. A generating device for generating agricultural environment information representing a state in an agricultural environment, comprising: an acquisition unit that acquires sensing data acquired by a plurality of sensors installed in the agricultural environment; a calculation unit that calculates an acquisition rate of the sensing data; an extracting unit that refers to the acquisition rate within a predetermined period and extracts the sensing data when the acquisition rate is equal to or greater than a predetermined threshold; a generating unit that generates the agricultural environment information based on the extracted sensing data; Equipped with calculating the acquisition rate by the calculation unit includes calculating an acquisition number of sensing data per unit time of each of the plurality of sensors; The acquisition rate is the data acquisition rate (γ data ) [Equation 1] generator.

2. a determination unit that determines whether or not there is data loss in the extracted sensing data; an interpolation unit that, when there is data loss in the sensing data, interpolates the lost data by referring to other data in the sensing data; Furthermore, The generating device according to claim 1 , wherein the generating unit generates the agricultural environment information based on interpolated sensing data.

3. The generating device according to claim 2 , wherein the interpolation unit refers to a distance between the sensor with missing data and another sensor, and interpolates the missing data from sensing data from the other sensor.

4. A generating device described in any one of claims 1 to 3, wherein the generating unit generates a distribution map as the agricultural environment information, which displays the extracted sensing data in correspondence with the positions where the multiple sensors are installed in the space within the agricultural environment.

5. The generating device according to claim 1 , wherein the generating unit generates the agricultural environment information using an average value of the sensing data calculated for each sensor that acquired the extracted sensing data.

6. A generating device according to any one of claims 1 to 5; a display device that displays the agricultural environmental information generated by the generating device; An agricultural environmental information display system equipped with the above.

7. A generating device according to any one of claims 1 to 5; a prediction device that predicts the degree of growth of plants growing in the agricultural environment based on the agricultural environment information generated by the generation device; A plant growth prediction system equipped with the above.

8. 1. A method for generating agricultural environment information representative of a situation in an agricultural environment, the method comprising: an acquisition step of acquiring sensing data acquired by a plurality of sensors installed in the agricultural environment; a calculation step of calculating an acquisition rate of the sensing data; an extraction step of referring to the acquisition rate within a predetermined period and extracting the sensing data when the acquisition rate is equal to or greater than a predetermined threshold; a generating step of generating the agricultural environment information based on the extracted sensing data; Equipped with Calculating the acquisition rate in the calculation step includes calculating the number of acquired sensing data per unit time from each of the plurality of sensors; The acquisition rate is the data acquisition rate (γ data ) [Equation 2] Generation method.

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