Cultivation Assistance Program

Abstract

To assist a producer in cultivating fruits and vegetables.SOLUTION: The present invention relates to a cultivation auxiliary program for assisting in cultivating fruits, vegetables, etc., in a greenhouse, and the program causes a computer to execute processing of: receiving input of information on atmospheric temperature, amounts of solar radiation, and CO2 concentration in the greenhouse in future; estimating photosynthesis amounts and growth amounts of fruits, vegetables, etc., at a certain time point or period in future through simulation using the information on the atmospheric temperature, the amounts of solar radiation, and the CO2 concentration in the greenhouse in future; and identifying and display adjustment information on the atmospheric temperature in the greenhouse and / or adjustment information on planting density of the fruits, vegetables, etc., based upon balance between the estimated photosynthesis amount and growth amount.SELECTED DRAWING: Figure 13

Description

[Technical Field]

[0001] The present invention relates to a cultivation assistance program. [Background technology]

[0002] Recently, there has been growing interest and expectation in greenhouse horticulture production sites for environmental control, which actively controls the cultivation environment, including CO2 concentration and humidity. Low-cost cultivation environment monitoring systems have become commercially available, and private companies are also developing integrated environmental control systems. However, at present, there are no clear guidelines for how to use environmental control systems, that is, how to adjust the environment based on the current cultivation environment and growth status, so producers are left to their own devices, relying on trial and error at their own production sites.

[0003] In general, in the production of fruit vegetables such as tomatoes, strawberries, cucumbers, and peppers, it is important to maintain plant vigor within an appropriate range throughout the cultivation period. For example, when plant vigor is strong, resulting in thick leaves and stems, it delays flower bud differentiation and reduces the appearance quality of the fruit (the occurrence of damaged fruit), so yields do not increase. On the other hand, when plant vigor is weak, it is prone to flower drop, reduced flower number, suppressed fruit growth, and core settling, so yields do not increase. Traditionally, growers have determined the strength and suitability of plant vigor by observation. Some growers also measure the "stem diameter" and "position of the flowering inflorescence from the growth point" and plot the relationship between the two on two-dimensional coordinates to use in determining plant vigor. Then, based on the determined plant vigor, they adjust the environmental control settings based on intuition and experience. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Special Publication No. 2005-506851 [Patent Document 2] Japanese Patent Application Laid-Open No. 2011-200208 [Patent Document 3] Japanese Patent Application Laid-Open No. 2011-223915 [Patent Document 4] Special Publication No. 2015-502140 Summary of the Invention [Problem to be solved by the invention]

[0005] However, unless you are an experienced grower, it is difficult to accurately judge plant vigor based on intuition and experience. Furthermore, while the method of plotting the relationship between stem thickness and the position of the flowering inflorescence from the growth point provides information for judging plant vigor, no objective and clear numerical criteria have been established. Furthermore, because the results of plant vigor judgment are not directly linked to environmental settings, environmental settings are adjusted based on empirical rules. Therefore, at present, there is no objective method for either judging plant vigor or controlling the environment based on the judged plant vigor, and the results are not reproducible.

[0006] An object of the present invention is to provide a cultivation assistance program that can assist in the cultivation of fruit and vegetable crops. [Means for solving the problem]

[0007] The cultivation assistance program is a cultivation assistance program to support the cultivation of fruit and vegetables in greenhouses, and will be implemented in the future. Outdoors The input of information on temperature, solar radiation, and CO2 concentration in the future is accepted. Outdoors Temperature in Using the information, a predetermined calculation method is used. at some point or period in the future Inside the greenhouse Estimating the growth volume of fruit and vegetables In addition, the future outdoor Using information on solar radiation and CO2 concentration and estimating the amount of photosynthesis of the fruit and vegetables in the greenhouse at a certain time or period in the future using a predetermined calculation method. The program causes a computer to execute a process of identifying and displaying adjustment information for the temperature in the greenhouse and / or adjustment information for the planting density of fruit and vegetables based on the estimated balance between the amount of photosynthesis and the amount of growth. [Effects of the Invention]

[0008] The cultivation assistance program of the present invention has the effect of being able to assist in the cultivation of fruit and vegetable crops. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram showing a configuration of an agricultural system according to a first embodiment. [Figure 2] 2(a) is a diagram showing the hardware configuration of the user terminal of FIG. 1, and FIG. 2(b) is a diagram showing the hardware configuration of the server of FIG. [Figure 3] FIG. 10 is a diagram showing an example of a community image. [Figure 4] FIG. 2 is a functional block diagram of a server according to the first embodiment. [Figure 5] FIG. 4 is a flowchart showing processing of a server according to the first embodiment. [Figure 6] 10 is a graph showing the relationship between the iLAI value and the light-receiving rate. [Figure 7] FIG. 10 is a functional block diagram of a server according to a second embodiment. [Figure 8] FIG. 10 is a flowchart showing processing of a server according to the second embodiment. [Figure 9] Figure 9(a) is a graph showing the changes in photosynthesis and growth rate over the number of days after planting, and Figure 9(b) is a graph showing the changes in temperature when correction is made based on the balance between temperature (actual) and photosynthesis and growth rate. [Figure 10] FIG. 10 is a functional block diagram of a server according to a modified example of the second embodiment. [Figure 11] FIG. 10 is a diagram showing the configuration of an agricultural system according to a third embodiment. [Figure 12] FIG. 10 is a functional block diagram of a server according to a third embodiment. [Figure 13] FIG. 11 is a flowchart showing processing of a server according to the third embodiment. [Figure 14] FIG. 11 is a flowchart showing processing of a server according to a modified example of the third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] First Embodiment A first embodiment of the agricultural system will be described in detail below with reference to Figs. 1 to 6. Fig. 1 shows a schematic configuration of an agricultural system 100 according to the first embodiment. The agricultural system 100 of this first embodiment is a system for providing information to farmers and the like (hereinafter referred to as "producers") to assist them in cultivating fruit vegetables such as tomatoes, strawberries, cucumbers, and peppers. In this first embodiment, the case where the producer is a producer who cultivates tomatoes will be described.

[0011] As shown in Fig. 1, the agricultural system 100 includes a server 10 and a user terminal 70. The user terminal 70 is a terminal used by producers, such as a personal computer (PC), tablet terminal, or smartphone. The server 10 and the user terminal 70 are connected to a network 80 such as the Internet, enabling information to be exchanged between the devices.

[0012] The user terminal 70 is connected to a LAN (Local Area Network) 78 used by the producer, and the LAN 78 is also connected to a stereo camera 72, a smartphone 74, an environmental information acquisition device 76, and the like.

[0013] The user terminal 70 transmits information input from other devices connected to the LAN 78 to the server 10. FIG. 2(a) shows the hardware configuration of the user terminal 70. As shown in FIG. 2(a), the user terminal 70 includes a CPU (Central Processing Unit) 190, a ROM (Read Only Memory) 192, a RAM (Random Access Memory) 194, a storage unit (here, a HDD (Hard Disk Drive)) 196, a network interface 197, a display unit 193, an input unit 195, and a portable storage medium drive 199 capable of reading the portable storage medium 191. These components of the user terminal 70 are connected to a bus 198. The display unit 193 includes a liquid crystal display or the like, and the input unit 195 includes a keyboard, a mouse, a touch panel, or the like.

[0014] The stereo camera 72 is a camera that photographs the area in the greenhouse where the tomato colonies are grown from above. FIG. 3 shows an example of an image (called a colony image) photographed by the stereo camera 72. The colony image is a distance image that can obtain distance information (mm) from the photographed object in pixel units. The stereo camera 72 transmits the photographed colony image to the user terminal 70. The user terminal 70 transmits the colony image photographed by the stereo camera 72 to the server 10. The colony image is an image used by the server 10 to calculate the direct light-receiving leaf area index (called the iLAI value) as first information indicating the state of the tomato colonies, and to obtain data on the amount of stem and leaf attachment as second information indicating the state of the tomato colonies.

[0015] The smartphone 74 is a terminal used by a producer and has a built-in camera. The worker sends an image of the tomato colony (called an inflorescence image) taken using the camera built into the smartphone 74 to the user terminal 70. The user terminal 70 sends the inflorescence image to the server 10. The inflorescence image is an image used by the server 10 to acquire data on the number of flowers and the number of fruits as second information indicating the state of the tomato colony.

[0016] The environmental information acquisition device 76 includes sensors that measure temperature, solar radiation, CO2 concentration, and humidity, and has a function of transmitting sensor measurement results to the user terminal 70. Here, the environmental information acquisition device 76 measures the temperature, solar radiation, CO2 concentration, and humidity at predetermined intervals (for example, every 5 minutes), and transmits the average value and integrated value of the measurement results measured over a day to the user terminal 70. For example, the user terminal 70 transmits the received value to the server 10 every time it receives a value from the environmental information acquisition device 76. Note that the environmental information acquisition device 76 may transmit the results of measurements taken at predetermined intervals to the user terminal 70 immediately after the measurement. In this case, the user terminal 70 may use the received measurement results to calculate the average value and integrated value of the measurement results measured over a day, and transmit them to the server 10.

[0017] The stereo camera 72, the smartphone 74, and the environmental information acquisition device 76 may transmit images and data directly to the server 10 without going through the LAN 78 or the user terminal 70.

[0018] The server 10 is a device that acquires information from the user terminal 70, creates information to assist in tomato cultivation based on the acquired information, and provides it to producers. The server 10 of the first embodiment provides the user terminal 70 with a screen that displays, as information to assist in tomato cultivation, the amount of photosynthesis and the amount of growth in a tomato colony in a comparable state.

[0019] Here, it is thought that the vigor of a tomato community weakens when the "amount of photosynthesis" is low relative to the "amount of growth (amount of stem and leaf elongation + amount of fruit fat)," and strengthens when the "amount of photosynthesis" is excessive. In other words, in environmental control, it is important to maximize the "amount of photosynthesis" while controlling the "amount of growth" so that the amount of stem and leaf elongation and amount of fruit fat correspond to that. Therefore, in the first embodiment, by visualizing the amount of photosynthesis and the amount of growth of the community in a comparative manner, the system assists producers in environmental control to appropriately maintain vigor that takes into account the balance between the two.

[0020] FIG. 2(b) shows the hardware configuration of the server 10. As shown in FIG. 2(b), the server 10 includes a CPU 90, a ROM 92, a RAM 94, a storage unit (here, a HDD) 96, a network interface 97, and a portable storage medium drive 99 as a computer. These components of the server 10 are connected to a bus 98. In the server 10, the CPU 90 executes a program (including a cultivation assistance program) stored in the ROM 92 or the HDD 96, or a program (including a cultivation assistance program) read from the portable storage medium 91 by the portable storage medium drive 99, thereby realizing the functions of the components shown in FIG. 4. The functions of the components shown in FIG. 4 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0021] Fig. 4 shows a functional block diagram of the server 10. In the server 10, the CPU 90 executes a program to cause the server 10 to function as an environmental information acquisition unit 20, a community image acquisition unit 22, an iLAI value calculation unit 24, a photosynthesis amount estimation unit 26, an inflorescence image acquisition unit 32, a flower number / fruit number identification unit 34, a growth amount estimation unit 36, and a display control unit 40, as shown in Fig. 4. Note that Fig. 3 also shows a photosynthesis amount DB 50 and a growth amount DB 52 stored in the HDD 96 or the like of the server 10.

[0022] The environmental information acquisition unit 20 acquires information about the tomato cultivation environment transmitted from the user terminal 70. The information about the cultivation environment includes solar radiation data Rn, temperature data Tn, CO2 concentration data Cn, and humidity data Hn for the current day (the nth day after planting).

[0023] The community image acquisition unit 22 acquires community images (see FIG. 3) taken by a stereo camera 72 and transmitted from a user terminal 70. The community image acquisition unit 22 transfers the acquired community images to the iLAI value calculation unit 24 and the growth amount estimation unit 36.

[0024] The iLAI value calculation unit 24 calculates the direct light intercepted leaf area index (iLAI value) from the canopy image using a method described later. Details of the iLAI value will be described later. The iLAI value calculation unit 24 passes the calculated iLAI value to the photosynthesis amount estimation unit 26.

[0025] The photosynthesis amount estimation unit 26 estimates the amount of photosynthesis in the canopy using the iLAI value, solar radiation data, CO2 concentration data, and humidity data. The photosynthesis amount estimation unit 26 stores the estimated amount of photosynthesis in the photosynthesis amount DB 50.

[0026] The inflorescence image acquisition unit 32 acquires inflorescence images taken by a smartphone 74 and sent from the user terminal 70. The community image acquisition unit 22 passes the acquired inflorescence images to the flower number and fruit number specification unit 34.

[0027] The flower number / fruit number specifying unit 34 specifies the number of flowers and fruits present in the captured inflorescence image by image analysis of the inflorescence image. The process of specifying the number of flowers and fruits can be performed by image processing using a template image or by specifying the location of flowers and fruits based on the color of each pixel. The number of flowers and fruits can also be specified by machine learning. The data on the number of flowers and fruits specified by the flower number / fruit number specifying unit 34 is passed to the growth amount estimating unit 36.

[0028] The growth amount estimation unit 36 ​​acquires stem and leaf accretion data using the community image (FIG. 3). The growth amount estimation unit 36 ​​also estimates the growth amount of the community based on the acquired stem and leaf accretion data, temperature data, and data on the number of flowers and fruit. The growth amount estimation unit 36 ​​stores information on the estimated growth amount in the growth amount DB 52.

[0029] The display control unit 40 references the data stored in the photosynthesis amount DB 50 and the growth amount DB 52, and generates a screen that displays the amount of photosynthesis and the amount of growth in the community in a comparable manner. The display control unit 40 then transmits the generated screen to the user terminal 70, and causes the display unit 93 of the user terminal 70 to display it.

[0030] (Regarding Server 10 processing) Next, the processing of the server 10 will be described in detail with reference to the flow diagram of Fig. 5. The processing of steps S10 and S12 in Fig. 5 may be executed before or after the processing of steps S20, S22, and S24. Furthermore, the processing of steps S10 and S12 and the processing of steps S20, S22, and S24 may be executed simultaneously in parallel.

[0031] 5, it is assumed that the environmental information acquisition unit 20 has acquired the solar radiation data Rn, temperature data Tn, CO2 concentration data Cn, and humidity data Hn for the current day (the nth day after planting) from the user terminal 70. It is also assumed that the community image acquisition unit 22 has acquired the community image for the current day from the user terminal 70, and the inflorescence image acquisition unit 32 has acquired the inflorescence image for the current day from the user terminal 70.

[0032] (Step S10) In step S10, the iLAI value calculation unit 24 calculates the iLAI value (iLAIn). Here, the canopy image captured by the stereo camera 72 is a distance image that makes it possible to obtain distance information (mm) from the photographed object in pixel units. Therefore, the iLAI value calculation unit 24 can grasp the three-dimensional structure of the canopy from the canopy image and calculate the surface area. At this time, only the area of ​​the visible part can be measured from the canopy image; the overlapping and invisible parts cannot be measured. In other words, what is measured from the canopy image is the area that receives direct light (light that arrives in a straight line from sunlight). In this first embodiment, the leaf area index calculated from this canopy image (distance image) is called the direct light-receiving leaf area index (iLAI value).

[0033] In the first embodiment, the iLAI value calculation unit 24 calculates the direct light receiving leaf area index (iLAI value) within a range selected by the user terminal 70 or a predetermined range (the range indicated by the white frame in FIG. 3) from the range image data obtained from the crop canopy image. In the example of FIG. 3, the iLAI value is the ratio of the area of ​​non-black pixels to the total area, and the iLAI value is calculated to be 0.83 (= 83.13%). In other words, in the example of FIG. 3, this means that 83% of the light that enters the range indicated by the white frame is absorbed by the crop canopy.

[0034] The iLAI value calculation unit 24 transfers the iLAI value calculated from the canopy image to the photosynthesis amount estimation unit 26.

[0035] (Step S12) Next, in step S12, the photosynthesis amount estimating unit 26 estimates the amount of photosynthesis in the community (community photosynthesis amount) Pn.

[0036] Here, the amount of light received by the canopy per day is expressed by the following formula (1). Community light reception amount (MJ / m 2 / day)=light receiving rate x solar radiation (MJ / m 2 / day) …(1)

[0037] The amount of canopy photosynthesis per day is expressed by the following equation (2). Community photosynthesis amount (g / m 2 / day) = amount of light received by the community (MJ / m 2 / day) × light utilization efficiency (g / MJ) … (2)

[0038] These formulas (1) and (2) will be explained below.

[0039] (Estimation of the amount of light received by the canopy) The light receiving rate in the above formula (1) is generally expressed as: Light receiving rate = (1-e -k·LAI) where k is the light absorption coefficient and LAI is the leaf area index. Of these, the light absorption coefficient is a coefficient that indicates the light receiving posture of the crop, and is said to take a unique value depending on the crop and variety. In the case of tomatoes, the light absorption coefficient is 0.6 to 1.0. The light absorption coefficient can be calculated using the Lambert-Beer theorem from the LAI and the relative light intensity within the canopy (In / Io: In = light intensity within the canopy, Io = light intensity at the top of the canopy). On the other hand, the leaf area index (LAI) is the ratio of the light intensity per unit land area (1 m 2 ) to the total leaf area of ​​the crop (m 2 ) In order to calculate the leaf area index (LAI), destructive measurements (sampling surveys) are generally required, so measurements cannot be taken at the production site.

[0040] Therefore, in the first embodiment, the above-described iLAI is used to non-destructively determine the light-receiving rate.

[0041] As a result of intensive research, the inventors have found that iLAI has a light receiving efficiency (=1-e -k·LAI ) and the linear regression relationship. -k·LAI ) can be expressed by the following equation (3). Light receiving rate≒α×iLAI…(3)

[0042] Here, α is a coefficient that corrects for planting patterns (row spacing and plant spacing).

[0043] The photosynthesis estimation unit 26 estimates the amount of light received by the canopy directly and non-destructively by multiplying the iLAI value obtained from the iLAI value calculation unit 24 by the planting pattern correction coefficient α and the amount of solar radiation based on the following equation (4) obtained from the above equations (1) and (3). Community light reception amount (MJ / m 2 / day) = α iLAI × solar radiation (MJ / m 2 / day) …(4)

[0044] The leaf area index (LAI) of a canopy can be calculated from iLAI using the following equation (5). LAI=(-1)×1 / k×(ln(1-α·iLAI)) …(5)

[0045] (Estimation of canopy photosynthesis) The light utilization efficiency in the above equation (2) is a coefficient that converts the amount of light received into dry matter weight, and can be calculated using the following equation (6). Light use efficiency (g / MJ) = canopy photosynthesis (g / m 2 ) / Total amount of light received by the canopy (MJ / m 2 ) …(6)

[0046] In the above equation (6), the canopy photosynthesis rate refers to the dry matter weight increase over a specified period, and the total canopy light reception rate refers to the total canopy light reception rate over a specified period. For C3 plants, the light use efficiency is generally 1-1.5 (g / MJ) when the CO2 concentration is 400 ppm, and 2-2.5 (g / MJ) when the CO2 concentration is 800 ppm. These values ​​are nearly constant for the same variety and environment (temperature, CO2 concentration, humidity, etc.). Therefore, when calculating canopy photosynthesis rate, a previously calculated light use efficiency can be used. Furthermore, light use efficiency and CO2 concentration can be linearly regressed within a certain concentration range.

[0047] Therefore, the photosynthesis amount estimating unit 26 estimates the product of the canopy light receiving amount and the light use efficiency as the canopy photosynthesis amount based on the above formula (2). The photosynthesis amount estimating unit 26 stores the estimated canopy photosynthesis amount in the photosynthesis amount DB 50.

[0048] (Step S20) In step S20, the flower number / fruit number specifying unit 34 acquires data Fn on the number of flowers and the number of fruits from an image of an inflorescence taken by the built-in camera of the smartphone 74 and received from the user terminal 70. For example, the flower number / fruit number specifying unit 34 can specify the number of flowers and the number of fruits by image processing using a template image. The number of flowers and the number of fruits may also be manually entered by the producer into the user terminal 70 or the smartphone 74.

[0049] (Step S22) In step S22, the growth amount estimation unit 36 ​​acquires stem and leaf accretion data Ln. In this case, the growth amount estimation unit 36 ​​calculates the stem and leaf accretion amount by height from the community image using equation (5). The ratio of leaves to stems can be set to a constant ratio.

[0050] (Step S24) In step S24, the growth amount estimation unit 36 ​​estimates the growth amount Gn of the community on that day. Based on the data Fn on the number of flowers and the number of fruits and the stem and leaf bearing amount data Ln, the growth amount estimation unit 36 ​​determines the growth amount (stem and leaf growth amount + fruit fatness amount) of the community at the time of image capture. Then, the growth amount estimation unit 36 ​​estimates the growth amount Gn of the community on that day using the temperature data Tn on that day. The growth amount on that day can be estimated by taking into account the growth amount at the time of image capture and the extent to which the stems, leaves, and fruits will grow based on the temperature data Tn on that day. Note that community images and inflorescence images do not need to be captured every day. In other words, the growth amount of the community can be estimated by taking into account the growth amount at the time of image capture and the growth amount estimated from the accumulated temperature after capture. The growth amount estimation unit 36 ​​stores the estimated growth amount in the growth amount DB 52.

[0051] (Step S30) In step S30, the display control unit 40 generates a screen displaying the amount of photosynthesis and the amount of growth in the community in a comparable manner, and outputs the screen to the user terminal 70. According to the inventor's research results, the greater the percentage of photosynthesis and growth that matches, the greater the number of fruits set and the larger the fruit, resulting in a higher fruit distribution rate. Therefore, by referring to the display unit 193 of the user terminal 70, producers can easily determine whether the tomato cultivation environment is appropriate. For example, if the amount of photosynthesis on a given day is greater than the amount of growth, producers can determine that it is preferable to increase the nighttime temperature that day in order to increase the amount of growth. Furthermore, in situations where it is difficult to increase the nighttime temperature, producers can determine that it is preferable to increase the planting density to reduce the amount of photosynthesis.

[0052] As described above in detail, according to the first embodiment, the photosynthesis amount estimator 26 calculates the amount of photosynthesis in a tomato community based on solar radiation data and first information indicating the state of the tomato community (iLAI value obtained from the community image) (S12). The growth amount estimator 36 calculates the growth amount in the tomato community based on temperature data and second information indicating the state of the tomato community (the number of flowers and fruits obtained from the inflorescence image, and the amount of stem and leaf growth obtained from the community image) (S24). The display controller 40 then generates a screen that displays the calculated amount of photosynthesis and the amount of growth in a comparable manner, and displays the screen on the display unit 193 of the user terminal 70. This allows a producer using the user terminal 70 to easily confirm the balance between the amount of photosynthesis and the amount of growth. This allows a producer to easily determine how to control the temperature and how to adjust the planting density.

[0053] Furthermore, in the first embodiment, when calculating the amount of photosynthesis in a canopy, the photosynthesis amount estimator 26 estimates the amount of photosynthesis using the product of the solar radiation data and the direct light-receiving leaf area (iLAI value) obtained from the canopy image (the above formulas (3) and (2)). This makes it possible to estimate the amount of photosynthesis in a canopy non-destructively.

[0054] Furthermore, in the first embodiment, the growth amount estimation unit 36 ​​estimates the growth amount based on temperature data, data on the number of flowers and fruits obtained from the tomato inflorescence image, and data on the amount of stem and leaf attachment, so that the growth amount can be estimated accurately without the producer having to manually input the number of tomato flowers and fruits.

[0055] Second Embodiment Next, a second embodiment will be described with reference to Figures 7 to 9. In the second embodiment, the server 10 outputs (presents) information on environmental control to the user terminal 70 based on the balance between the amount of photosynthesis and the amount of growth of the community.

[0056] 7 shows a functional block diagram of the server 10 according to the second embodiment. In the second embodiment, the server 10 has the functions of a presentation unit 42 in addition to the functions of the server 10 described in the first embodiment.

[0057] The presentation unit 42 executes a process of presenting optimal temperature control and planting density (target values), as shown in step S32 of the flow diagram in Fig. 8. Specifically, the presentation unit 42 identifies how to adjust the temperature in the greenhouse where the tomato colony is grown, based on the balance between the amount of photosynthesis and the amount of growth, and, if adjustment is not possible, what the planting density should be. Then, the presentation unit 42 transmits the identified information to the user terminal 70, and displays (presents) it on the display unit 193 of the user terminal 70.

[0058] The presentation unit 42 presents information indicating to what degree the average temperature of the day needs to be adjusted. Furthermore, if the average temperature to be adjusted is very high, the presentation unit 42 presents information indicating that it is preferable to increase the planting density.

[0059] For example, the grower adjusts the night temperature in the greenhouse based on the average temperature of the day that is presented. Also, if the grower is presented with information that suggests changing the planting density, the grower adjusts the planting density in the greenhouse. This allows the grower to appropriately adjust the tomato cultivation environment.

[0060] Figure 9(a) shows the transition of the amount of photosynthesis and the amount of growth when the inventor actually cultivated tomatoes. Figure 9(b) shows the transition of the actual temperature (performance) and the temperature corrected so that the amount of photosynthesis and the amount of growth are balanced (so that a predetermined relationship is satisfied, i.e., so that a predetermined degree of agreement is achieved). In this example, by correcting the temperature as shown in Figure 9(b), the balance between the amount of photosynthesis and the amount of growth shown in Figure 9(a) becomes more appropriate, and a cultivation environment can be created in which the vegetative growth and reproductive growth of tomatoes are balanced, thereby increasing the yield of tomatoes.

[0061] As described above, according to the second embodiment, the server 10 presents appropriate information on the average temperature of the day and information on planting density to the user terminal 70. This allows the producer to control the greenhouse environment and adjust the planting density based on the presented information, thereby achieving appropriate cultivation conditions that take into account the balance between the amount of photosynthesis and the amount of growth.

[0062] 10, the server 10 of the second embodiment may have a control unit 44 for controlling the environment in the greenhouse instead of the presentation unit 42. In this case, the control unit 44 automatically controls the control target devices (air conditioning devices) installed in the greenhouse so that the environment in the greenhouse becomes appropriate. This allows the producer to cultivate tomato colonies in an appropriate environment without having to manually adjust the temperature in the greenhouse.

[0063] The server 10 may have both the control unit 44 and the presentation unit 42. In this case, the control unit 44 automatically controls the temperature, and the presentation unit 42 presents information on appropriate planting density to the producer via the user terminal 70.

[0064] Third Embodiment Next, a third embodiment will be described with reference to Figs. 11 to 13. Fig. 11 shows an agricultural system 100 according to the third embodiment. In the third embodiment, the server 10 simulates future trends in canopy photosynthesis and growth by using information obtained from the user terminal 70 and future environmental data obtained from an external server 60 connected to the network 80, and executes processing based on the simulation results. The server 10 then provides the simulation results to the user terminal 70.

[0065] Here, the external server 60 acquires outdoor forecast data (mesh weather forecast, etc.) and average year data. For example, the mesh weather forecast can provide predicted temperature, predicted solar radiation, etc. for up to 10 days in the future, and the average year data can provide predictions of temperature, solar radiation, etc. for 10 days and beyond.

[0066] A functional block diagram of the server 10 according to the third embodiment is shown in Fig. 12. As shown in Fig. 12, the server 10 according to the third embodiment further has the function of a simulation unit 46 in addition to the functions of the second embodiment (Fig. 7).

[0067] 13 is a flow diagram showing the processing of the server 10 in the third embodiment. Note that the processing up to step S32 is the same as in the second embodiment (FIG. 8).

[0068] 13, after step S32, the simulation unit 46 executes a simulation based on future environmental data (step S34). In this case, the simulation unit 46 estimates how the amount of photosynthesis and growth will change on a daily basis, and how the state of the community (the state of stems and leaves, inflorescences, and fruits) will change, based on future temperature data, solar radiation data, etc.

[0069] Next, in step S36, the simulation unit 46 simulates the yield for each day based on the state of the community on each simulated day. The simulation unit 46 generates a screen displaying the results of the yield simulation and transmits it to the user terminal 70. As a result, the results of the yield simulation are displayed on the display unit 193 of the user terminal 70.

[0070] The display control unit 40 may create a screen that allows a comparison of the amount of photosynthesis and the amount of growth obtained by a simulation based on future environmental data, and display the screen on the display unit 193 of the user terminal 70. The presentation unit 42 may also display, on the display unit 193 of the user terminal 70, information on temperature and planting density that will balance the amount of photosynthesis and the amount of growth obtained by a simulation based on future environmental data, and present the information to the producer. Furthermore, as shown in step S38 of Fig. 14, the server 10 may correct the coefficients used in the simulation as needed by comparing the community state and yield obtained by the simulation in steps S34 and S36 with the community state and yield obtained by actual measurement.

[0071] As described above, according to the third embodiment, the server 10 simulates the future state of the community and yield, and outputs the simulation results to the user terminal 70 and presents them to the producer. This allows the producer to check information on the predicted future yield, enabling him to appropriately prepare the personnel required for harvesting work.

[0072] In the third embodiment, the server 10 may have a control unit 44 similar to that shown in Fig. 9 instead of the presentation unit 42 or together with the presentation unit 42. Also, the server 10 may not have the presentation unit 42 and the control unit 44, as in the first embodiment.

[0073] The above processing functions can be realized by a computer. In this case, a program is provided that describes the processing contents of the functions that the processing device should have. By executing the program on a computer, the above processing functions are realized on the computer. The program that describes the processing contents can be recorded on a computer-readable storage medium (excluding carrier waves).

[0074] When distributing a program, it is sold in the form of a portable storage medium on which the program is recorded, such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory).The program can also be stored in the storage device of a server computer and transferred from the server computer to other computers via a network.

[0075] A computer that executes a program stores, for example, a program recorded on a portable storage medium or a program transferred from a server computer in its own storage device. The computer then reads the program from its own storage device and executes processing in accordance with the program. Note that the computer can also read the program directly from a portable storage medium and execute processing in accordance with that program. The computer can also execute processing in accordance with the program received each time a program is transferred from the server computer.

[0076] The above-described embodiment is a preferred example of the present invention, but the present invention is not limited to this and can be modified in various ways without departing from the spirit of the present invention. [Explanation of symbols]

[0077] 10 Servers 26 Photosynthesis amount estimation part 36 Growth amount estimation section 40 Display control unit 70 User terminal 72 Stereo Camera 74 Smartphones 76 Environmental information acquisition device 90 CPU (computer) 100 Farming Systems

Claims

1. A cultivation assistance program for assisting in the cultivation of fruit and vegetable crops in a greenhouse, Future outdoor temperatures, solar radiation, and CO 2 Accepts input of concentration information, Using the information on the future outdoor air temperature, a predetermined calculation method is used to estimate the growth amount of fruit and vegetables in the greenhouse at a certain time or period in the future, and the future outdoor solar radiation, CO 2 Using the concentration information, an amount of photosynthesis of the fruit and vegetables in the greenhouse at a certain time or period in the future is estimated by a predetermined calculation method; determining and displaying information on adjusting the temperature in the greenhouse and / or information on adjusting the planting density of fruit and vegetables based on the estimated balance between the amount of photosynthesis and the amount of growth; A cultivation assistance program that causes a computer to execute processing.

2. The received future outdoor temperature, solar radiation, CO 2 The cultivation assistance program described in claim 1, characterized in that it causes a computer to execute a process that uses concentration information to estimate the state of the fruit vegetable community in the greenhouse at a certain time or period in the future using a predetermined calculation method, estimates the yield at a certain time or period in the future based on the estimated state of the fruit vegetable community, and displays the estimated yield.

3. correcting the coefficients used in the estimation process by comparing the estimated state and / or yield of the fruit and vegetable community at a certain time or period in the future with the state and / or yield of the fruit and vegetable community obtained by actual measurement; 3. The cultivation assistance program according to claim 2, further comprising causing the computer to execute a process.

4. The cultivation assistance program according to claim 1 or 2, further comprising causing the computer to execute a process of comparatively displaying the estimated amount of photosynthesis and growth of fruit vegetables at a certain point or period in the future.

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