JP2021182265A - Cultivation auxiliary program, photosynthesis amount calculation program, and growth amount calculation program - Google Patents

Abstract

To assist in cultivation of fruits and vegetables by a producer.SOLUTION: A photosynthesis amount estimation unit calculates an amount of photosynthesis in a community of tomatoes based on solar radiation amount data and first information (an iLAI value obtained from a community image) indicating a state of the community of tomatoes (S12). Further, a growth amount estimation unit calculates an amount of growth in the community of tomatoes based on temperature data and second information (the number of flowers obtained from a flower image, the number of fruiting, and an amount of bearing of foliage obtained from the community image) indicating a state of the community of tomatoes (S24). Then, a display control unit generates a screen for displaying a calculated amount of photosynthesis and an amount of growth so as to able to be compared, and displays them on a display of a user terminal.SELECTED DRAWING: Figure 5

Description

The present invention relates to a cultivation assistance program, a photosynthesis amount calculation program, and a growth amount calculation program.

Recently, at the production site of facility horticulture, there is increasing interest and expectation for environmental control that positively controls the cultivation environment such as _{CO 2 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 is no clear index on how to use the environmental control system, that is, how to adjust the environment based on the current cultivation environment and growing condition, so each producer produces. It is a situation of trial and error in the field.

In general, in the production of fruit vegetables such as tomatoes, strawberries, cucumbers and paprika, it is important to maintain the grass vigor within an appropriate range throughout the cultivation period. For example, in a state of strong grass vigor such as thick leaves and thick stems, the yield does not increase because the flower bud differentiation is delayed and the quality of fruit appearance is deteriorated (occurrence of impaired fruits). On the other hand, even when the grass vigor is weak, the yield does not increase because the flowers fall, the number of flowers decreases, the fruit enlargement is suppressed, and the core is likely to stop. Traditionally, producers judge the strength and suitability of grass by observation. In addition, some producers measure "stem thickness (stem diameter)" and "position of flowering flower cluster from growth point" and plot the relationship between them in two-dimensional coordinates to judge the grass vigor. We are using. Then, based on the judged grass vigor, the setting value of the environmental control is corrected and adjusted based on intuition and experience.

Japanese Patent Publication No. 2005-506851 Japanese Unexamined Patent Publication No. 2011-200208 Japanese Unexamined Patent Publication No. 2011-223915 Japanese Patent Publication No. 2015-502140

However, unless you are a skilled producer, it is difficult to make an accurate judgment based on your intuition and experience. In addition, the method of plotting the relationship between the thickness of the stem and the position of the flowering flower cluster from the growth point provides a material for determining the grass vigor, but an objective and clear numerical standard is not shown. Furthermore, since the result of grass vigor judgment and the environment setting value are not directly linked, the environment setting value is modified based on the empirical rule. Therefore, at present, there is no objective method and there is no reproducibility in both the case of determining the grass vigor and the case of performing environmental control based on the determined grass vigor.

The present invention is a cultivation assistance program capable of assisting the cultivation of fruit vegetables, a photosynthesis amount calculation program capable of accurately calculating the amount of photosynthesis in a fruit and vegetable community, and an accurate growth amount in a fruit and vegetable community. It is an object of the present invention to provide a growth amount calculation program which can be calculated.

The first aspect of the cultivation assistance program is to calculate the amount of photosynthesis in the fruit vegetables based on the information on the amount of solar radiation and the first information indicating the state of the fruit and vegetable community, and the information on the temperature and the information on the fruit and vegetables. A cultivation assistance program that calculates the growth amount of the fruits and vegetables based on the second information indicating the state of the community, and displays the calculated photosynthesis amount and the growth amount in a comparable manner, and causes the computer to execute the process. be.

In the second aspect of the cultivation assistance program, the amount of photosynthesis in the fruit vegetables is calculated based on the information on the amount of solar radiation and the first information indicating the state of the fruit vegetables community, and the information on the temperature and the information on the fruits and vegetables are obtained. The growth amount in the fruit vegetables was calculated based on the second information indicating the state of the community, and the planting density of the fruit vegetables and the above were made so that the calculated photosynthesis amount and the growth amount had a predetermined relationship. It is a cultivation assistance program that causes a computer to perform processing that outputs the target value of at least one of the temperatures.

In the third aspect of the cultivation assistance program, the amount of photosynthesis in the fruit vegetables is calculated based on the information on the amount of solar radiation and the first information indicating the state of the fruit vegetables community, and the information on the temperature and the information on the fruits and vegetables are obtained. Based on the second information indicating the state of the community, the amount of growth in the fruits and vegetables is calculated, and the temperature is controlled so that the calculated amount of photosynthesis and the amount of growth have a predetermined relationship. It is a cultivation assistance program to be executed by.

The fourth aspect of the cultivation assistance program is to accept input of information on future temperature and amount of solar radiation, and to estimate the amount of photosynthesis and growth of fruits and vegetables at a certain point in time or period in the future by simulation using the received information. It is a cultivation assistance program for causing a computer to perform a process of calculating information on the temperature at which the estimated amount of photosynthesis and the amount of growth have a predetermined relationship and / or information on the planting density of fruits and vegetables.

The photosynthetic amount calculation program of the present application acquires information on the amount of solar radiation, calculates the area of the direct light receiving leaf area of the seedling from the photographed image of the fruit and vegetable community, and obtains the information on the amount of solar radiation and the direct light receiving of the seedling. It is a program that causes a computer to execute a process of calculating the amount of photosynthesis of the fruits and vegetables using the product with the leaf area.

The growth amount calculation program of the present application acquires temperature information, obtains information on the number of flowers, the number of fruits, and the amount of foliage settling of the fruit vegetables from the photographed image of the fruit and vegetable community, and obtains the information on the temperature. It is a program that causes a computer to execute a process of calculating the growth amount of a community of the fruit vegetables based on the information of the number of flowers, the number of fruits and the amount of foliage settling of the fruit vegetables.

The cultivation assistance program of the present invention has the effect of being able to assist the cultivation of fruits and vegetables. In addition, the photosynthesis amount calculation program of the present invention has the effect of being able to accurately calculate the photosynthesis amount in a community of fruits and vegetables. In addition, the growth amount calculation program of the present invention has the effect of being able to accurately calculate the growth amount in a community of fruits and vegetables.

It is a figure which shows the structure of the agricultural system which concerns on 1st Embodiment. 2A is a diagram showing the hardware configuration of the user terminal of FIG. 1, and FIG. 2B is a diagram showing the hardware configuration of the server of FIG. 1. It is a figure which shows an example of a community image. It is a functional block diagram of the server which concerns on 1st Embodiment. It is a flow diagram which shows the process of the server which concerns on 1st Embodiment. It is a graph which shows the relationship between the iLAI value and the light receiving rate. It is a functional block diagram of the server which concerns on 2nd Embodiment. It is a flow diagram which shows the process of the server which concerns on 2nd Embodiment. FIG. 9A is a graph showing the transition of the amount of photosynthesis and the amount of growth with respect to the number of days after planting, and FIG. 9B is the case where correction is performed based on the balance between the temperature (actual) and the amount of photosynthesis and the amount of growth. It is a graph which shows the transition of the temperature of. It is a functional block diagram of the server which concerns on the modification of 2nd Embodiment. It is a figure which shows the structure of the agricultural system which concerns on 3rd Embodiment. It is a functional block diagram of the server which concerns on 3rd Embodiment. It is a flow diagram which shows the process of the server which concerns on 3rd Embodiment. It is a flow diagram which shows the process of the server which concerns on the modification of 3rd Embodiment.

<< First Embodiment >>
Hereinafter, the first embodiment of the agricultural system will be described in detail with reference to FIGS. 1 to 6. FIG. 1 schematically shows the configuration of the agricultural system 100 according to the first embodiment. The agricultural system 100 of the first embodiment assists the producer when the farmer or the like (hereinafter referred to as “producer”) cultivates fruits and vegetables such as tomato, strawberry, cucumber, and paprika. It is a system for providing information. In the first embodiment, the case where the producer is a producer who cultivates tomatoes will be described.

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 such as a PC (Personal Computer), a tablet terminal, or a smartphone used by the producer. The server 10 and the user terminal 70 are connected to a network 80 such as the Internet, and information can be exchanged between the devices.

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

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

The stereo camera 72 is a camera that photographs the area where the tomato community is cultivated in the greenhouse from above. FIG. 3 shows an example of an image (referred to as a community image) taken by the stereo camera 72. The community image is a distance image capable of obtaining distance information (mm) from the object to be photographed in pixel units. The stereo camera 72 transmits the captured community image to the user terminal 70. The user terminal 70 transmits the community image taken by the stereo camera 72 to the server 10. The community image is used to calculate the direct light receiving leaf area index (referred to as iLAI value) as the first information indicating the state of the tomato community on the server 10, and the second information indicating the state of the tomato community. It is an image used to obtain the data of the amount of foliage epiphytic as a tomato.

It is assumed that the smartphone 74 is a terminal used by the producer and has a built-in camera. The worker transmits an image (called a flower cluster image) of a tomato community taken by using a camera built in the smartphone 74 to the user terminal 70. The user terminal 70 transmits the flower cluster image to the server 10. The flower cluster image is an image used on the server 10 to acquire data on the number of flowers and the number of fruit set as the second information indicating the state of the tomato community.

The environmental information acquisition device 76 includes a sensor for measuring the temperature, the amount of solar radiation, the CO ₂ concentration, and the humidity, and has a function of transmitting the measurement result of the sensor to the user terminal 70. Here, the environmental information acquisition device 76 measures the temperature, the amount of solar radiation, the CO ₂ concentration, and the humidity at predetermined intervals (for example, every 5 minutes), and the average value or the integrated value of the measurement results measured during the day. Is transmitted to the user terminal 70. For example, each time the user terminal 70 receives a value from the environment information acquisition device 76, the user terminal 70 transmits the received value to the server 10. The environmental information acquisition device 76 may transmit the measurement results 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 obtain an average value or an integrated value of the measurement results measured during the day and transmit it to the server 10.

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

The server 10 is a device that acquires information from the user terminal 70, creates information for assisting tomato cultivation based on the acquired information, and provides it to the producer. The server 10 of the first embodiment provides the user terminal 70 with a screen for displaying the amount of photosynthesis and the amount of growth in the tomato community in a comparable state as information for assisting the cultivation of tomatoes. ..

Here, it is considered that the grass vigor of the tomato community becomes weak when the "photosynthesis amount" is small with respect to the "growth amount (elongation amount of foliage + large amount of fruit fertilizer)", and becomes stronger when the "photosynthesis amount" becomes excessive. Be done. That is, in environmental control, it is important to control the "growth amount" so that the amount of foliage elongation and the amount of fruit fertilizer corresponding to the maximum amount of "photosynthesis" are maximized. Therefore, in the first embodiment, by visualizing the amount of photosynthesis and the amount of growth of the canopy in a comparable manner, the producer assists the environmental control for appropriately maintaining the grass vigor in consideration of the balance between the two. ..

FIG. 2B shows the hardware configuration of the server 10. As shown in FIG. 2B, the server 10 includes a CPU 90 as a computer, a ROM 92, a RAM 94, a storage unit (here, an HDD) 96, a network interface 97, a drive 99 for a portable storage medium, and the like. Each component of the server 10 is connected to the 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. By doing so, the functions of each part shown in FIG. 4 are realized. The functions of each part in FIG. 4 may be realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

FIG. 4 shows a functional block diagram of the server 10. In the server 10, the CPU 90 executes the program, and as shown in FIG. 4, the environment information acquisition unit 20, the community image acquisition unit 22, the iLAI value calculation unit 24, the photosynthesis amount estimation unit 26, and the flower cluster image acquisition unit 32. , The number of flowers, the number of fruits set, 34, the growth amount estimation unit 36, and the display control unit 40. Note that FIG. 3 also shows the photosynthesis amount DB50 and the growth amount DB52 stored in the HDD 96 or the like of the server 10.

The environmental information acquisition unit 20 acquires information on the tomato cultivation environment transmitted from the user terminal 70. The information on the cultivation environment includes the solar radiation amount data Rn, the temperature data Tn, the CO ₂ concentration data Cn, and the humidity data Hn on the day (nth day after planting).

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

The iLAI value calculation unit 24 calculates the direct light receiving leaf area index (iLAI value: intercepted Leaf Area Index) from the community image by the method described later. The 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.

The photosynthesis amount estimation unit 26 estimates the photosynthesis amount in the community using the iLAI value, the solar radiation amount data, the CO ₂ concentration data, and the humidity data. The photosynthesis amount estimation unit 26 stores the estimated photosynthesis amount in the photosynthesis amount DB 50.

The flower cluster image acquisition unit 32 acquires the flower cluster image taken by the smartphone 74 transmitted from the user terminal 70. The community image acquisition unit 22 passes the acquired flower cluster image to the flower number and fruit set number specifying unit 34.

The flower number and fruit set number specifying unit 34 identifies the number of flowers and the number of fruit set present in the photographed flower cluster image by image analysis of the flower cluster image. As the process of specifying the number of flowers and the number of fruits set, it is possible to adopt an image process using a template image, a process of specifying a part of a flower or a fruit based on the color of each pixel, and the like. It is also possible to specify the number of flowers and the number of fruit set by machine learning. The data on the number of flowers and the number of fruits set specified by the number of flowers and the number of fruits set 34 is passed to the growth amount estimation unit 36.

The growth amount estimation unit 36 acquires foliage epiphytic amount data using a community image (FIG. 3). In addition, the growth amount estimation unit 36 estimates the growth amount of the community based on the acquired foliage settling amount data, temperature data, flower number, and fruit set number data. The growth amount estimation unit 36 stores the estimated growth amount information in the growth amount DB 52.

The display control unit 40 refers to the data stored in the photosynthesis amount DB 50 and the growth amount DB 52, and generates a screen for displaying the photosynthesis amount and the growth amount in the community in a comparable state. Then, the display control unit 40 transmits the generated screen to the user terminal 70 and causes the display unit 93 of the user terminal 70 to display the generated screen.

(About the processing of server 10)
Next, the processing of the server 10 will be described in detail with reference to the flow chart of FIG. The processes of steps S10 and S12 in FIG. 5 may be executed before or after the processes of steps S20, S22 and S24. Further, the processing of steps S10 and S12 and the processing of steps S20, S22 and S24 may be executed in parallel.

As a premise of the processing of FIG. 5, the environmental information acquisition unit 20 acquires the solar radiation amount data Rn, the temperature data Tn, the CO ₂ concentration data Cn, and the humidity data Hn on the day (nth day after planting) from the user terminal 70. It is assumed that it is. Further, it is assumed that the community image acquisition unit 22 acquires the community image of the day from the user terminal 70, and the flower cluster image acquisition unit 32 acquires the flower cluster image of the day from the user terminal 70.

(Step S10)
In step S10, the iLAI value calculation unit 24 calculates the iLAI value (iLAIn). Here, the community image taken by the stereo camera 72 is a distance image capable of obtaining distance information (mm) from the object to be photographed 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, and the overlapping and invisible part cannot be measured. In other words, what is measured from the community image is the area that receives direct light (light that reaches linearly in the sunlight). In the first embodiment, the leaf area index calculated from this community image (distance image) is used as the direct light receiving leaf area index (iLAI value).

In the first embodiment, the iLAI value calculation unit 24 has a range selected by the user terminal 70 or a predetermined range (shown by a white frame in FIG. 3) among the distance image data obtained from the community image. The direct light receiving leaf area index (iLAI value) within the range) is calculated. In the example of FIG. 3, it is assumed that the ratio of the area of the pixel other than black to the total area is the iLAI value, and the iLAI value is calculated to be 0.83 (= 83.13%). That is, in the example of FIG. 3, it means that 83% of the light in the range shown by the white frame is absorbed by the crop community.

The iLAI value calculation unit 24 passes the iLAI value calculated from the community image to the photosynthesis amount estimation unit 26.

(Step S12)
Next, in step S12, the photosynthesis amount estimation unit 26 estimates the photosynthesis amount (community photosynthesis amount) Pn in the community.

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

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

Hereinafter, these equations (1) and (2) will be described.

(About estimation of the amount of received light from the community)
The light receiving rate of the above equation (1) is generally expressed as light receiving rate = (1-e- ^{k · LAI} ). k is the absorption coefficient and LAI is the leaf area index. Of these, the absorption coefficient is a coefficient that indicates the light receiving position of the crop, and is said to take a unique value depending on the crop and variety. In the case of tomato, the absorption coefficient is 0.6 to 1.0. The extinction coefficient can be obtained from LAI and the relative light intensity in the community (In / Io: In = light intensity in the community, Io = light intensity in the upper part of the community) using Lambert-Beer's theorem. On the other hand, leaf area index (LAI), means total leaf area of the crop per unit land area ^{(1m 2) (m 2)} . In order to obtain the leaf area index (LAI), it is generally necessary to perform fracture measurement (sampling survey), so it cannot be measured at the production site.

Therefore, in the first embodiment, the above-mentioned iLAI is used in order to obtain the light receiving rate in a non-destructive manner.

As a result of diligent research, the present inventor has clarified that iLAI has a relationship with the light receiving rate (= 1-e- ^{k · LAI} ) that can be regressed by a linear equation. That is, the light receiving rate (= 1−e ^{−k · LAI} ) can be expressed by the following equation (3).
Light receiving rate ≒ α × iLAI… (3)

Here, α is a coefficient for correcting the planting style (between furrows and between stocks).

The photosynthesis amount estimation unit 26 multiplies the iLAI value obtained from the iLAI value calculation unit 24 by the planting style correction coefficient α and the amount of solar radiation based on the following equations (4) obtained from the above equations (1) and (3). Directly, non-destructively, estimate the amount of received light from the community.
Community light reception amount (MJ / m ² / day) = α ・ iLAI × solar radiation amount (MJ / m ² / day)… (4)

The leaf area index LAI of the canopy can be obtained from iLAI by the following equation (5).
LAI = (-1) × 1 / k × (ln (1-α ・ iLAI))… (5)

(About estimation of canopy photosynthesis)
The light utilization efficiency of the above equation (2) is a coefficient for converting the amount of received light into a dry matter weight, and can be obtained from the following equation (6).
Light utilization efficiency (g / MJ) = community photosynthesis (g / m ² ) / total community light reception (MJ / m ² )… (6)

In the above formula (6), the canopy photosynthesis amount means the dry matter weight increased in a predetermined period, and the total value of the canopy light receiving amount means the total value of the canopy light receiving amount in a predetermined period. In the case of C3 plants, the light utilization efficiency is generally 1 to 1.5 (g / MJ) when the _{CO 2} concentration is 400 ppm, and the light utilization efficiency is 2 to 2.5 ( _{g / MJ) when the CO 2 concentration is 800 ppm.} g / MJ), and if the variety and environment (temperature, CO ₂ concentration, humidity, etc.) are the same, it is almost constant. Therefore, when determining the amount of canopy photosynthesis, the previously determined light utilization efficiency can be used. In addition, the light utilization efficiency and CO ₂ concentration can be regressed by a linear equation as long as they are within a certain concentration range.

Therefore, the photosynthesis amount estimation unit 26 estimates the product of the community light receiving amount and the light utilization efficiency as the community photosynthesis amount based on the above equation (2). The photosynthesis amount estimation unit 26 stores the estimated community photosynthesis amount in the photosynthesis amount DB 50.

(Step S20)
In step S20, the flower number and fruit set number specifying unit 34 acquires the flower number and fruit set number data Fn from the flower cluster image taken by the camera built in the smartphone 74 received from the user terminal 70. For example, the number of flowers and the number of fruits set 34 can specify the number of flowers and the number of fruits set by image processing using a template image. The number of flowers and the number of fruits set may be manually input by the producer to the user terminal 70 or the smartphone 74.

(Step S22)
In step S22, the growth amount estimation unit 36 acquires the foliage epiphytic amount data Ln. In this case, the growth amount estimation unit 36 obtains the amount of foliage settled by height from the community image by the formula (5). The ratio of leaves to stems can be a fixed rate.

(Step S24)
In step S24, the growth amount estimation unit 36 estimates the growth amount Gn in the community on the day. The growth amount estimation unit 36 specifies the growth amount (growth amount of foliage + large amount of fruit fertilizer) in the community at the time of image taking based on the data Fn of the number of flowers and the number of fruit set and the data Ln of the foliage settling amount. do. Then, the growth amount estimation unit 36 estimates the growth amount Gn in the community of the day using the temperature data Tn of the day. The amount of growth on the day can be estimated by adding how much the foliage and fruits grow from the temperature data Tn on the day with respect to the amount of growth at the time of image taking. It is not necessary to take a community image or a flower cluster image every day. That is, the amount of growth in the community can be estimated by adding the amount of growth estimated from the accumulated temperature after the image to the amount of growth at the time of image shooting. The growth amount estimation unit 36 stores the estimated growth amount in the growth amount DB 52.

(Step S30)
In step S30, the display control unit 40 generates a screen for displaying the amount of photosynthesis and the amount of growth in the community in a comparable state, and outputs the screen to the user terminal 70. According to the research results of the present inventor, it is known that the larger the ratio of the amount of photosynthesis and the amount of growth is, the larger the number of fruit set and the larger the fruit is, the higher the fruit distribution rate is. Therefore, the producer can easily determine whether or not the tomato cultivation environment is appropriate by referring to the display unit 193 of the user terminal 70. For example, when the amount of photosynthesis on the day is larger than the amount of growth, the producer can determine that it is preferable to raise the night temperature of the day in order to increase the amount of growth. In addition, the producer can also determine that in a situation where it is difficult to raise the night temperature, it is preferable to greatly adjust the planting density so that the amount of photosynthesis is small.

As described above in detail, according to the first embodiment, the photosynthesis amount estimation unit 26 uses the solar radiation amount data and the first information (iLAI value obtained from the community image) indicating the state of the tomato community. Based on this, the amount of photosynthesis in the tomato community is calculated (S12). Further, the growth amount estimation unit 36 is based on the temperature data and the second information indicating the state of the tomato community (the number of flowers obtained from the flower cluster image, the number of fruits set, and the amount of foliage set obtained from the community image). , The amount of growth in the tomato community is calculated (S24). Then, the display control unit 40 generates a screen for displaying the calculated photosynthesis amount and the growth amount in a comparable manner, and displays the screen on the display unit 193 of the user terminal 70. As a result, in the first embodiment, the producer using the user terminal 70 can easily confirm the balance between the amount of photosynthesis and the amount of growth. Therefore, the producer can easily determine how to control the temperature and how to adjust the planting density.

Further, in the first embodiment, when calculating the photosynthesis amount in the community, the photosynthesis amount estimation unit 26 calculates the product of the solar radiation amount data and the direct light receiving leaf area (iLAI value) obtained from the community image. The amount of photosynthesis is estimated using the above equations (3) and (2). This makes it possible to estimate the amount of photosynthesis in the community in a non-destructive manner.

Further, in the first embodiment, the growth amount estimation unit 36 estimates the growth amount based on the temperature data, the number of flowers, the number of fruits, and the foliage settling data obtained from the tomato flower cluster image. Therefore, it is possible to accurately estimate the growth amount without manually inputting the number of flowers and fruits of the tomato by the producer himself.

<< Second Embodiment >>
Next, the second embodiment will be described with reference to FIGS. 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.

FIG. 7 shows a functional block diagram of the server 10 according to the second embodiment. The second embodiment has the function of the presentation unit 42 in addition to the function of the server 10 described in the first embodiment.

As shown in step S32 of the flow chart shown in FIG. 8, the presentation unit 42 executes a process of presenting the optimum temperature control and planting density (target value). Specifically, the presentation unit 42 cannot adjust how to adjust the temperature in the greenhouse in which the tomato community is cultivated based on the balance between the amount of photosynthesis and the amount of growth, if it cannot be adjusted. Identify what the planting density should be. Then, the presentation unit 42 transmits the specified information to the user terminal 70 and displays (presents) it on the display unit 193 of the user terminal 70.

The presentation unit 42 presents information on how many times the average temperature of the day needs to be adjusted. Further, the presentation unit 42 presents information that it is preferable to increase the planting density when the average temperature to be adjusted is very high.

The producer adjusts the night temperature in the greenhouse, for example, based on the average temperature of the day presented. The producer also adjusts the planting density in the greenhouse when presented with information that it is preferable to change the planting density. This makes it possible to appropriately adjust the tomato cultivation environment.

FIG. 9A shows the transition between the amount of photosynthesis and the amount of growth when the inventor actually cultivates tomatoes. Further, in FIG. 9B, the air temperature corrected so that the actual temperature (actual) and the amount of photosynthesis and the amount of growth are balanced (so as to satisfy a predetermined relationship, that is, to have a predetermined degree of agreement). The transition is shown. In this example, by correcting the temperature as shown in FIG. 9 (b), the balance between the amount of photosynthesis and the amount of growth shown in FIG. 9 (a) becomes more appropriate, and the vegetative growth and reproductive growth of tomatoes are balanced. It was found that the yield of tomatoes can be increased because the cultivation environment can be set as such.

As described above, according to the second embodiment, the server 10 presents the user terminal 70 with information on the appropriate average temperature on the day and information on the planting density. As a result, the producer can control the environment in the greenhouse based on the presented information and adjust the planting density to achieve an appropriate cultivation state considering the balance between the amount of photosynthesis and the amount of growth. It becomes.

As shown in FIG. 10, the server 10 of the second embodiment may have a control unit 44 that controls the environment in the greenhouse instead of the presentation unit 42. In this case, the control unit 44 automatically controls the control target device (air conditioning device) provided in the greenhouse so that the environment in the greenhouse becomes an appropriate environment. This allows producers to grow tomato communities in an appropriate environment without having to manually adjust the temperature in the greenhouse.

The server 10 may have both a control unit 44 and a presentation unit 42. In this case, the control unit 44 may automatically control the air temperature, and the presentation unit 42 may present information on the appropriate planting density to the producer via the user terminal 70.

<< Third Embodiment >>
Next, the third embodiment will be described with reference to FIGS. 11 to 13. FIG. 11 shows the agricultural system 100 according to the third embodiment. In the third embodiment, the server 10 uses information obtained from the user terminal 70 and future environmental data obtained from the external server 60 connected to the network 80 to perform future community photosynthesis. Simulate changes in quantity and growth, and execute processing based on the simulation results. Then, the server 10 provides the simulation result to the user terminal 70.

Here, the external server 60 acquires outdoor forecast data (mesh weather forecast, etc.) and normal year data. For example, from the mesh weather forecast, the expected temperature and the expected solar radiation up to 10 days later can be obtained, and from the normal data, the temperature and the solar radiation after 10 days can be predicted.

FIG. 12 shows a functional block diagram of the server 10 according to the third embodiment. As shown in FIG. 12, the server 10 of the third embodiment further has the function of the simulation unit 46 in addition to the function of the second embodiment (FIG. 7).

FIG. 13 is a flow chart showing the processing of the server 10 in the third embodiment. The processing up to step S32 is the same as that of the second embodiment (FIG. 8).

In FIG. 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 changes the amount of photosynthesis and the amount of growth every day based on future temperature data, solar radiation amount data, etc., and the state of the community (state of foliage, flower cluster, state of fruit). ) Estimates how it changes.

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

The display control unit 40 may create a screen capable of comparing the amount of photosynthesis and the amount of growth obtained by simulation based on future environmental data, and display the screen on the display unit 193 of the user terminal 70. Further, the presentation unit 42 displays the temperature information and the planting density information such that the photosynthesis amount and the growth amount obtained by the simulation based on the future environmental data are balanced on the display unit 193 of the user terminal 70. It may be presented to the producer. Further, as shown in step S38 of FIG. 14, the server 10 compares the state and yield of the community obtained by the simulation of steps S34 and S36 with the state and yield of the community obtained by the actual measurement. , The coefficient used for the simulation may be corrected at any time.

As described above, according to the third embodiment, the server 10 simulates the state and yield of the future community, outputs the simulation result to the user terminal 70, and presents it to the producer. As a result, the producer can confirm the information on the predicted yield in the future, and can appropriately prepare the personnel necessary for the harvesting work.

In the third embodiment, the server 10 may have a control unit 44 similar to that in FIG. 9 in place of the presentation unit 42 or together with the presentation unit 42. Further, the server 10 may not have the presentation unit 42 and the control unit 44, as in the first embodiment.

The above processing function can be realized by a computer. In that case, a program that describes the processing content of the function that the processing device should have is provided. By executing the program on a computer, the above processing function is realized on the computer. The program describing the processing content can be recorded on a computer-readable storage medium (however, the carrier wave is excluded).

When a program is distributed, it is sold in the form of a portable storage medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. It is also possible to store the program in the storage device of the server computer and transfer the program from the server computer to another computer via the network.

The computer that executes the program stores, for example, the program recorded on the portable storage medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes the processing according to the program. The computer can also read the program directly from the portable storage medium and execute the processing according to the program. Further, the computer can also sequentially execute the processing according to the received program each time the program is transferred from the server computer.

The embodiments described above are examples of preferred embodiments of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the gist of the present invention.

10 Server 26 Photosynthesis amount estimation unit 36 Growth amount estimation unit 40 Display control unit 70 User terminal 72 Stereo camera 74 Smartphone 76 Environmental information acquisition device 90 CPU (computer)
100 agricultural system

Claims (9)

Based on the information on the amount of solar radiation and the first information indicating the state of the fruit and vegetable community, the amount of photosynthesis in the fruit and vegetable was calculated.
Based on the temperature information and the second information indicating the state of the fruit and vegetable community, the amount of growth in the fruit and vegetable was calculated.
A cultivation assistance program characterized in that a computer executes a process for displaying the calculated photosynthesis amount and the growth amount in a comparable manner. Based on the information on the amount of solar radiation and the first information indicating the state of the fruit and vegetable community, the amount of photosynthesis in the fruit and vegetable was calculated.
Based on the temperature information and the second information indicating the state of the fruit and vegetable community, the amount of growth in the fruit and vegetable was calculated.
Cultivation characterized by having a computer execute a process of outputting at least one target value of the planting density of the fruit vegetables and the temperature so that the calculated photosynthesis amount and the growth amount have a predetermined relationship. Auxiliary program. Based on the information on the amount of solar radiation and the first information indicating the state of the fruit and vegetable community, the amount of photosynthesis in the fruit and vegetable was calculated.
Based on the temperature information and the second information indicating the state of the fruit and vegetable community, the amount of growth in the fruit and vegetable was calculated.
A cultivation assistance program characterized by having a computer execute a process of controlling the temperature so that the calculated amount of photosynthesis and the amount of growth have a predetermined relationship. The first information includes the area of the direct light receiving leaf of the canopy calculated from the photographed image of the canopy.
The invention according to any one of claims 1 to 3, wherein the photosynthetic amount of the fruits and vegetables is calculated by using the product of the solar radiation amount information and the direct light receiving leaf area of the community. Cultivation assistance program. The second information includes information on the number of flowers and the number of fruits of the fruit vegetables obtained from the photographed image of the community.
The item according to any one of claims 1 to 4, wherein the growth amount of the fruit vegetables is calculated based on the information on the temperature and the information on the number of flowers and the number of fruits of the fruits and vegetables. Described cultivation assistance program. Get information on the amount of solar radiation,
From the photographed image of the canopy of fruits and vegetables, the area of the direct light receiving leaf of the canopy was calculated.
The photosynthetic amount of the fruits and vegetables is calculated by using the product of the information of the amount of solar radiation and the area of the direct light receiving leaves of the canopy.
A photosynthesis amount calculation program characterized by having a computer execute processing. Get temperature information,
Information on the number of flowers, the number of fruits, and the amount of foliage epiphytes of the fruit vegetables was obtained from the photographed images of the fruit vegetables community.
Growth characterized by having a computer execute a process of calculating the growth amount of the fruit vegetables based on the information of the temperature and the information of the number of flowers, the number of fruits and the amount of foliage settling of the fruits and vegetables. Quantity calculation program. Accepts input of future temperature and solar radiation information,
By simulation using the received information, the amount of photosynthesis and growth of fruits and vegetables at a certain point in time or period in the future is estimated.
Information on the temperature at which the estimated amount of photosynthesis and the amount of growth have a predetermined relationship and / or information on the planting density of fruits and vegetables is calculated.
A cultivation assistance program that allows a computer to perform processing. In the estimation process, the state and / or yield of the fruit and vegetable community is further estimated.
The coefficient used in the simulation is corrected by comparing the estimated state and / or yield of the fruit and vegetable community with the state and / or yield of the fruit and vegetable community obtained by actual measurement.
The cultivation assistance program according to claim 8, wherein the processing is further executed by the computer.

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