JP2023165159A - Program, computer, information processing system, and information processing method - Google Patents

Abstract

To provide a program, a computer, an information processing system, and an information processing method which can suppress occurrence of a plant of growth failure as much as possible.SOLUTION: A program allows a computer (control device 10) to function as receiving means 12, diagnostic reference value setting means 14, growth diagnosing means 16, management work analyzing means 18, and management work advice output means 20. The diagnostic reference value setting means 14 sets a diagnostic reference value of a plant. The growth diagnosing means 16 specifies whether or not each plant is a plant of growth failure. The management work analyzing means 18, regarding a plant specified as a plant of growth failure, analyzes a management work of the growth of the plant on the basis of management work data received by the receiving means 12. The management work advice output means 20, on the basis of an analysis result of the management work performed by the management work analyzing means 18, outputs advice information of the management work of the plant of growth failure.SELECTED DRAWING: Figure 1

Description

The present invention relates to a program, a computer, an information processing system, and an information processing method.

BACKGROUND ART Conventionally, systems and programs have been known for cultivating fruits and vegetables using objective methods rather than empirical rules. For example, Patent Document 1 discloses a program that can accurately calculate the amount of photosynthesis and growth in a community of fruit and vegetables in order to cultivate fruit and vegetables using an objective method rather than using empirical rules. ing. Furthermore, Patent Document 2 describes how even those who do not have sufficient knowledge or experience in plant cultivation can easily carry out the necessary cultivation work to realize ideal plant cultivation. A system is disclosed that instructs optimal cultivation operations corresponding to the situation.

JP 2021-182265 Publication Japanese Patent Application Publication No. 2021-141862

BACKGROUND ART When cultivating fruits and vegetables, even if they are cultivated in the same environment, the problem of uneven growth of each plant (individual differences in growth) occurs. Conventionally, even in plant factories where all the environmental conditions necessary for cultivation, such as light, temperature and humidity, carbon dioxide concentration, and culture medium composition, are automatically controlled, it is extremely difficult to completely eliminate uneven growth. Ta.

The present invention has been made in consideration of these points, and even if uneven growth occurs during cultivation, it is possible to prevent plants with poor growth by outputting information on advice on managing the plants with poor growth. The purpose is to provide a program, a computer, an information processing system, and an information processing method that can suppress such occurrences as much as possible.

The program of the present invention is
A program that causes a computer to function as a reception means, a growth diagnosis means, and a management work analysis means,
The growth diagnosis means calculates the value of the growth condition index of each strain based on the growth measurement data of each strain received by the reception means, and calculates the value of the growth condition index of each strain and the preset diagnostic reference value. Identify whether each strain is a poor growth strain based on the following,
The management work analysis means is characterized in that it analyzes the management work of the growth of the strain, based on the management work data received by the reception means, for the strain identified as a plant with poor growth.

In the program of the present invention,
The growth diagnosis means may specify whether each strain is an excellent growth strain, an average growth strain, or a poor growth strain based on the value of the calculated growth condition index.

Further, the management work analysis means calculates a management work value from the management work data received by the reception means, and sets a management work reference value based on the management work value of the strain identified as a strain with excellent growth. , the deviation rate between the set management work standard value and the management work value of the poorly growing strain may be calculated, and the deviation rate may be output as an analysis result of the management work.

Further, when the receiving means receives the work management data, it receives data for each of a plurality of management work items as the work management data,
The management work analysis means calculates the management work value of each management work item from the management work data of each management work item received by the reception means, and calculates the management work value of each management work item based on the management work value of the strain identified as an excellent growing strain. Set the management work standard value for each management work item, calculate the deviation rate between the set management work standard value and the management work value for plants with poor growth for each management work item, and calculate the management work standard value for each management work item as the management work analysis result. The deviation rate of work items may also be output.

Further, the management work analysis means sets a management work standard value in advance, calculates the management work value from the management work data received by the reception means, and calculates the management work value based on the preset management work standard value and plants with poor growth. The deviation rate from the management work value may be calculated and the deviation rate may be output as an analysis result of the management work.

Further, when the receiving means receives the work management data, it receives data for each of a plurality of management work items as the work management data,
The management work analysis means sets a management work reference value for each management work item in advance, and calculates the management work value of each management work item from the management work data of each management work item received by the reception means, The deviation rate between a preset management work standard value and the management work value of plants with poor growth may be calculated for each management work item, and the deviation rate for each management work item may be output as an analysis result of the management work.

Further, the program of the present invention causes the computer to further function as a management work advice output means,
The management work advice output means may output advice on management work for plants with poor growth based on the analysis result of the management work performed by the management work analysis means.

Further, the growth diagnosis means specifies whether each strain is an excellent growth strain, an ordinary growth strain, or a poor growth strain based on the value of the calculated growth status index,
When the receiving means receives work management data, it receives data for each of a plurality of management work items as work management data,
The management work analysis means calculates the management work value of each management work item from the management work data of each management work item received by the reception means, and calculates the management work value of each management work item based on the management work value of the strain identified as an excellent growing strain. Set the management work standard value for each management work item, calculate the deviation rate between the set management work standard value and the management work value for plants with poor growth for each management work item, and calculate the management work standard value for each management work item as the management work analysis result. The deviation rate of work items may also be output.

Further, when the receiving means receives the work management data, it receives data for each of a plurality of management work items as the work management data,
The management work analysis means sets a management work reference value for each management work item in advance, and calculates the management work value of each management work item from the management work data of each management work item received by the reception means, The deviation rate between a preset management work standard value and the management work value of plants with poor growth may be calculated for each management work item, and the deviation rate for each management work item may be output as an analysis result of the management work.

The management work advice output means may arrange the management work deviation rates of the management work items for each plant with poor growth in descending order or ascending order, and output the management work items in which the management work deviation rates are arranged in descending order or ascending order. good.

Further, advice information for each management work item is stored in the storage device, and the management work advice output means outputs information from the storage device based on the deviation rate of each management work item output by the management work analysis means. By using the information stored in , advice information for each management work item may be output.

Furthermore, the management work items may include at least one of irrigation, additional fertilization, leaf removal, flower removal, and fruit removal.

Further, the value of the growth condition index may include at least one of a stem diameter, a leaf area index, and a growth balance value.

Further, the program of the present invention causes the computer to further function as a diagnostic reference value setting means,
The diagnostic reference value setting means diagnoses the strain based on the information input by the user using the input device and received by the receiving means, or the growth measurement data of the strain identified as an excellent growing strain in past actual cultivation data. A reference value may be set.

The computer of the present invention includes:
A computer that functions as a reception means, a growth diagnosis means, and a management work analysis means by executing a program,
The growth diagnosis means calculates the value of the growth condition index of each strain based on the growth measurement data of each strain received by the reception means, and calculates the value of the growth condition index of each strain and the preset diagnostic reference value. Identify whether each strain is a poor growth strain based on the following,
The management work analysis means is characterized in that it analyzes the management work of the growth of the strain, based on the management work data received by the reception means, for the strain identified as a plant with poor growth.

The information processing system of the present invention includes:
comprising a control device and an input device,
The control device functions as a reception means, a growth diagnosis means, and a management work analysis means by executing a program,
The growth diagnosis means calculates the value of the growth condition index of each strain based on the growth measurement data of each strain received by the reception means, and calculates the value of the growth condition index of each strain and the preset diagnostic reference value. Identify whether each strain is a poor growth strain based on the following,
The management work analysis means is configured to analyze the management work of the growth of the strain, based on the management work data input by the input device and received by the reception means, for the strain identified as having poor growth. Features.

The information processing system of the present invention includes:
further comprising a display device;
The control device further functions as a management work advice output means by executing the program,
The management work advice output means may output advice on management work for plants with poor growth based on the analysis result of the management work, and the outputted information may be displayed on the display device.

The information processing method of the present invention includes:
An information processing method performed by a computer executing a program,
The growth condition index value of each strain is calculated based on the growth measurement data of each strain received, and each strain is determined to be a poor growth strain based on the calculated growth condition index value and preset diagnostic standard values. a step of identifying whether or not there is a
A step of analyzing the growth management work of the strain for the strain identified as having poor growth based on the received management work data;
It is characterized by having the following.

According to the program, computer, information processing system, and information processing method of the present invention, it is possible to suppress as much as possible the occurrence of plants with poor growth.

1 is a diagram schematically showing the configuration of an information processing system according to an embodiment of the present invention. 2 is a flowchart showing a schematic process flow by the information processing system shown in FIG. 1. FIG. It is an explanatory diagram showing growth point length of a strain. FIG. 2 is an explanatory diagram showing a method for determining a growth balance value from stem diameter and growth point length. 2 is a flowchart schematically showing the flow of operations for identifying a good growing strain, a poor growing strain, and a common growing strain by the growth diagnosis means in the information processing system shown in FIG. 1. FIG. 2 is a flowchart showing the flow of operations for identifying whether a strain within 40 days after planting is an excellent growing strain, a poor growing strain, or an ordinary growing strain in the information processing system shown in FIG. 1. 2 is a flowchart showing the flow of operations for identifying whether a plant that has been planted for more than 40 days is an excellent growing stock, a poor growing stock, or an ordinary growing stock in the information processing system shown in FIG. 1. 2 is a flowchart showing the flow of operations for analyzing stock growth management work by a management work analysis means in the information processing system shown in FIG. 1;

Embodiments of the present invention will be described below with reference to the drawings. 1 to 8 are diagrams showing an information processing system 1 according to this embodiment.

The information processing system 1 according to this embodiment includes a control device 10, a storage device 30, an input device 40, a display device 42, a measurement device 44, and an imaging device 46. Here, a storage device 30, an input device 40, a display device 42, a measuring device 44, and an imaging device 46 are connected to the control device 10, respectively. The control device 10 includes, for example, a CPU (Central Processing Unit), and by executing a predetermined program, receives a reception means 12, a diagnostic reference value setting means 14, a growth diagnosis means 16, a management work analysis means 18, and outputs management work advice. It functions as means 20. The storage device 30 is configured to store various information. The input device 40 is used by a user, and various information is input to the control device 10 by operating the input device 40 by the user. The display device 42 is configured to display various information by receiving a display instruction signal from the control device 10. The measuring device 44 is adapted to measure various values of the growing stock. Various values of the growing strain measured by the measuring device 44 will be described later. The imaging device 46 is configured to take images of the growing plant. In this embodiment, for example, a personal computer or the like in which the control device 10, the storage device 30, the input device 40, and the display device 42 are integrated may be used. Further, as another example, a mobile communication terminal such as a smartphone or a tablet PC owned by the user may be used as the input device 40. Each component of such information processing system 1 will be explained below.

The receiving means 12 is adapted to receive various information from the input device 40, the measuring device 44, the imaging device 46, and the like. The diagnostic reference value setting means 14 sets a set stem diameter, a set leaf area index, and a set growth balance value as diagnostic reference values, respectively, based on the information received by the receiving means 12. Here, the stem diameter refers to the diameter of the stem 100 of the plant as shown in FIG. used as. The stem diameter reflects the grass vigor, and the size of the stem diameter indicates the strength of the grass vigor. Plants whose stem diameter is too small and have reduced grass vigor are more susceptible to disease, so it is desirable to maintain the stem diameter above a certain level. On the other hand, if the stem diameter is too large, most of the nutrients given to the plant will be absorbed by the stem, which may reduce the yield of fruits and vegetables.

The leaf area index is an index that expresses the degree of leaf growth of a plant, and is expressed as a ratio of the total area of one side of all leaves above the unit area of the ground surface. A leaf area index is calculated based on the planting density, number of leaves, and area of each leaf for each plant. Various known methods can be used to measure the leaf area index. Furthermore, instead of calculating the leaf area index by measuring the area of all the actual leaves, the leaf area index may be estimated based on the area of the largest leaf. The larger the leaf area index, the higher the overall photosynthetic ability of each plant and the higher the yield of fruits and vegetables per unit area, but if the leaf area index is too large, the lower leaves will be in the shade. Since they are unable to carry out photosynthesis and only perform respiratory exhaustion, the yield of fruits and vegetables is reduced.

The growth balance value is a value that is calculated based on the stem diameter and growing point length and relatively indicates the growth of the plant. The growth balance value is calculated based on a reference value as a set growth balance value (specifically, a stem diameter and growth point length that serve as a reference). Here, the growing point length is defined as the length from the point P where the leaves 102 emerge from the stem 100 (this point is referred to as the growing point) in a plant as shown in FIG. This refers to the distance from the branching point of the stem 106 to the point Q (indicated by reference numeral B in FIG. 3). When a graph is created for a certain strain with stem diameter A on the vertical axis and growth point length B on the horizontal axis as shown in Figure 4, the measured values of the stem diameter and growth point length of the strain and the above-mentioned The distance between the stem diameter and the growing point length, which serves as a reference for the set growth balance value, becomes the growth balance value C. In the cultivation of fruits and vegetables, it is important to strike a good balance between vegetative growth, which is the growth of stems and leaves, and reproductive growth, which is the growth of fruits and vegetables. As mentioned above, the larger the stem diameter, the stronger the grass vigor and the more vegetative growth, and the shorter the length of the growing point, the more reproductive growth. Therefore, the measured values of the stem diameter and growing point length of each strain should be plotted on a growth balance sheet (graph shown in Figure 4) with stem diameter A on the vertical axis and growing point length B on the horizontal axis. This makes it possible to evaluate the growth balance of each strain. The closer this growth balance value C is to 0, the better the stock is considered to be growing. Note that the growth point length is limited to the distance from the point P (growth point) where the leaves 102 emerge from the stem 100 to the point Q, which is the branching point of the stem 106 where the flower 104 attaches on the stem 100 below the growth point. It will not be done. In another embodiment, the distance from the growing point to the flowering stage may be treated as the growing point length.

When the reception means 12 receives the growth measurement data of each strain, the growth diagnosis means 16 calculates the value of the growth condition index of each strain based on the received growth measurement data, and calculates the value of the growth condition index of each strain based on the value of the calculated growth condition index. For each strain, identify whether it is an excellent growing strain, a poor growing strain, or an ordinary growing strain. Details of the method for diagnosing the growth of each strain using the growth diagnosing means 16 will be described later.

The management work analysis means 18 calculates the management work values of irrigation, additional fertilization, leaf removal, flower thinning, and fruit thinning for each plant from the input management work data, and calculates the management work values of irrigation, additional fertilization, leaf removal, flower thinning, and fruit thinning. Analyze management activities based on values. Details of the management work analysis method by the management work analysis means 18 will be described later.

The management work advice output means 20 outputs advice information on management work for poorly grown plants based on the analysis result of the management work performed by the management work analysis means 18. Details of how the management work advice output means 20 outputs advice information will be described later.

As described above, the storage device 30 is composed of a HDD (Hard Disk Drive), a RAM (Random Access Memory), a ROM (Read Only Memory), an SSD (Solid State Drive), etc., and stores various information. It looks like this. Various information (for example, growth measurement data of each strain, management work values, etc.) received by the receiving means 12 of the control device 10 is stored in the storage device 30. Further, a program to be executed by the control device 10 is also stored in the storage device 30, and the program stored in the storage device 30 is read by the control device 10 and the program is executed by the control device 10. The control device 10 functions as the above-mentioned reception means 12, diagnostic reference value setting means 14, growth diagnosis means 16, management work analysis means 18, and management work advice output means 20. Note that the program executed by the control device 10 is not limited to being stored in the storage device 30. The program executed by the control device 10 may be stored in an external device other than the storage device 30, or the program sent from the external device to the control device 10 may be executed by the control device 10 each time. You can leave it there.

As described above, the input device 40 is used by the user, and various information is input to the control device 10 by operating the input device 40 by the user. When a personal computer or the like in which the control device 10, the storage device 30, the input device 40, and the display device 42 are integrated is used, for example, a keyboard, a mouse, or the like is used as the input device 40. Further, as described above, the display device 42 is configured to display various information by receiving a display instruction signal from the control device 10. When a personal computer or the like in which the control device 10, the storage device 30, the input device 40, and the display device 42 are integrated is used, for example, a monitor or the like is used as the display device 42. Note that, for example, a touch panel may be used as a device in which the input device 40 and the display device 42 are integrated. In addition, when a mobile communication terminal such as a smartphone or a PC tablet that the user owns is used in addition to the personal computer, the touch panel of the mobile communication terminal owned by the user is assumed to be integrated with the input device 40 and the display device 42. may be used.

As mentioned above, the measuring device 44 is adapted to measure various values of the growing stock. Specifically, the measuring device 44 includes a measuring device that measures the stem diameter of the plant, the length of the growing point, the area of the leaves of the plant, and the like. Data measured by the measuring device 44 is sent to the control device 10. Furthermore, as the measuring device 44, one that measures management work data for each stock may be used. Specifically, a sensor attached to an irrigation device or a top dressing device may be used as the measuring device 44, and the amount of water in the irrigation device or the amount of top dressing in the top dressing device may be automatically measured by the sensor. Information on the amount of irrigation in the irrigation device and the amount of additional fertilization in the top dressing device, which are measured by a sensor serving as the measuring device 44, are transmitted from the sensor to the control device 10.

As described above, the imaging device 46 is configured to image the growing plant. The imaging device 46 includes, for example, a camera or a video camera. The image of the growing stock taken by the imaging device 46 is sent to the control device 10. Based on the image of the growing plant taken by the imaging device 46, the control device 10 can calculate the leaf area index of the plant using a known information processing method.

Next, operations performed by the information processing system 1 having such a configuration will be described using flowcharts shown in FIG. 2 and FIGS. 5 to 8. FIG. 2 is a flowchart schematically showing the flow of processing by the information processing system 1. As shown in FIG. Further, FIG. 5 is a flowchart schematically showing the flow of operations in which the growth diagnosis means 16 in the information processing system 1 identifies strains with excellent growth, strains with poor growth, and ordinary growth stocks. Further, FIGS. 6 and 7 are flowcharts showing the flow of operations for identifying each strain as a good growing strain, a poor growing strain, or a common growing strain in the information processing system 1, respectively. Further, FIG. 8 is a flowchart showing the flow of operations for analyzing the management work of stock growth by the management work analysis means 18 in the information processing system 1.

First, a set stem diameter, a set leaf area index, and a set growth balance value are respectively set as diagnostic reference values by the diagnostic reference value setting means 14 (Step 1 in FIG. 2). Specifically, when the user inputs a set stem diameter, a set leaf area index, and a set growth balance value (specifically, a combination of stem diameter and growth point length) using the input device 40, the diagnostic reference value setting means 14 sets diagnostic reference values based on the information received by the receiving means 12. The set stem diameter, set leaf area index, and set growth balance value are input by the user while looking at various documents and materials related to cultivation. Further, after harvesting of fruits and vegetables, etc., the stem diameter, leaf area index, and growth balance value of a well-growing plant may be set as diagnostic standard values by the diagnostic standard value setting means 14.

After the set stem diameter, set leaf area index, and set growth balance value are each set as the diagnostic standard values by the diagnostic standard value setting means 14, the plant is actually grown (Step 2 in FIG. 2). In the growth of such strains, the growth condition of each strain is diagnosed by the growth diagnosis means 16. Specifically, an index of the growth state is calculated from the growth data of the strain, and is compared with the diagnostic standard value set by the diagnostic standard value setting means 14 to determine whether each strain has excellent growth, poor growth, or average growth. Each strain is identified. The details of the method for diagnosing the growth status of each strain using the growth diagnosis means 16 will be explained using the flowcharts shown in FIGS. 6 to 8.

First, the user measures the growth data of each strain, and inputs the measured growth measurement data of each strain to the control device 10 using the input device 40. Such input of growth measurement data for each strain is performed, for example, once a week. The growth measurement data of each plant input by the user through the input device 40 includes, for example, planting density, number of leaves, leaf area, stem diameter, growing point length, number of flowers, number of fruits, and the like. More specifically, the number of leaves, flowers, fruits, etc. of each plant were determined visually, the planting density, stem diameter, and growth point length were measured using a measuring tape, and the leaf area was measured using a camera, video camera, etc. The area of the imaged leaf is calculated using measurement software. The receiving means 12 of the control device 10 receives the growth measurement data of each strain inputted by the input device 40 (Step 11 in FIG. 5). Then, based on the growth measurement data of each strain received by the receiving means 12, the control device 10 calculates a leaf area index and a growth balance value as a growth state index value for each strain (Step 12 in FIG. 5). Note that the stem diameter of each plant accepted by the receiving means 12 is also treated as a growth state index.

In addition, instead of the user inputting all of the growth measurement data of each plant using the input device 40, the growth measurement data such as planting density, stem diameter, and growing point length measured by the measurement device 44 can be controlled from the measurement device 44. The growth measurement data may be transmitted to the device 10 and accepted by the reception means 12. In this case, based on the growth measurement data received from the input device 40 and/or the growth measurement data received from the measurement device 44 in the control device 10, at least one of the leaf area index and growth balance value for each plant is determined. Calculated. Further, an image of the growing stock taken by the imaging device 46 may be sent to the control device 10, and the image of the growing stock may be received by the receiving means 12 as growth measurement data. In this case, the control device 10 measures the leaf area based on the image of the leaves of the growing plant received from the imaging device 46, and calculates the leaf area index for each plant based on the measured leaf area. be done. Further, the stem diameter, growth point length, number of leaves, etc. of the plant may also be calculated based on the image of the leaves of the growing plant received from the imaging device 46.

Then, based on the stem diameter, leaf area index, and growth balance value of each strain as growth condition index values, it is determined whether each strain is a good growing strain, a poor growing strain, or a normal growing strain. (Step 13 in FIG. 5). The method for identifying the growth status of each strain is different for strains that have been planted within 40 days and for strains that have been planted for more than 40 days. The growth stages of fruits and vegetables are divided into a vegetative growth period and a reproductive growth period, and the boundary between the two is set at 40 days after planting, but it can be set arbitrarily. Each case will be explained using the flowcharts shown in FIGS. 6 and 7.

As shown in FIG. 6, for plants that have been planted within 40 days ("YES" in Step 21 of FIG. 6), the leaf area index calculated based on the growth measurement data is first set by the diagnostic reference value setting means 14. It is determined whether the leaf area index is less than or equal to the set leaf area index (Step 22 in FIG. 6). If the leaf area index calculated based on the growth measurement data is larger than the set leaf area index (“NO” in Step 22 of FIG. 6), the growth diagnosis means 16 identifies this strain as a strain with poor growth. As mentioned above, if the leaf area index is too large, the lower leaves will be in the shade and will not be able to carry out photosynthesis and will only perform respiratory exhaustion, resulting in a lower yield of fruits and vegetables.

If the leaf area index calculated based on the growth measurement data is less than or equal to the set leaf area index ("YES" in Step 22 of FIG. 6), the leaf area index calculated for each plant is determined in descending order (i.e., For example, strains that are in the top 10% ("YES" in Step 23 of FIG. 6) are identified by the growth diagnosis means 16 as strains with excellent growth. This is because the larger the leaf area index, the higher the overall photosynthetic ability of each plant, and the greater the yield of fruits and vegetables per unit area. On the other hand, if a strain falls into the bottom 10% when sorted in descending order based on the leaf area index calculated for each strain ("YES" in Step 24 of FIG. 6), the growth diagnostic tool determines that it is a strain with poor growth. 16. In addition, for the remaining 80% of strains that are not in the top 10% and bottom 10% when sorted in descending order based on the leaf area index calculated for each strain ("NO" in Step 23 of Figure 6) (“NO” in Step 24), the growth diagnostic means 16 identifies the strain as a growing common strain. It should be noted that the plants identified by the growth diagnostic means 16 as plants with good growth and plants with poor growth are not limited to the top 10% and bottom 10% of the leaf area index. It is possible to arbitrarily set the percentage of the top and bottom of the leaf area index of the plants with excellent growth and those with poor growth, respectively.

Next, a growth diagnosis method will be described using the flowchart shown in FIG. 7 for strains that have been planted for more than 40 days ("NO" in Step 21 of FIG. 6). For plants that have been planted for more than 40 days, it is first determined whether the leaf area index calculated based on the growth measurement data is less than or equal to the set leaf area index set by the diagnostic reference value setting means 14 ( Step 25 in FIG. 7). If the leaf area index calculated based on the growth measurement data is larger than the set leaf area index (“NO” in Step 25 of FIG. 7), the growth diagnosis means 16 identifies this strain as a strain with poor growth.

If the leaf area index calculated based on the growth measurement data is less than or equal to the set leaf area index (“YES” in Step 25 of FIG. 7), then the measured stem diameter of the plant is determined by the diagnostic reference value setting means 14. It is determined whether the stem diameter is equal to or larger than the set stem diameter (Step 26 in FIG. 7). If the measured stem diameter of the strain is smaller than the set stem diameter (“NO” in Step 26 of FIG. 7), the growth diagnostic means 16 identifies the strain as a poorly growing strain. This is because if the stem diameter is too small, the grass vigor will be reduced and the plant will be more susceptible to disease. Also, for the plants whose measured stem diameter is equal to or greater than the set stem diameter (“YES” in Step 26 in Figure 7), they are arranged in ascending order (i.e., in ascending order of value) based on the growth balance value calculated for each plant. For example, strains that are in the top 10% (“YES” in Step 27 of FIG. 7) are identified by the growth diagnosis means 16 as being excellent growth strains. On the other hand, for the strains whose measured stem diameter is equal to or greater than the set stem diameter, for example, for the strains that fall in the bottom 10% when arranged in ascending order based on the growth balance value calculated for each strain (Step 28 in Figure 7). (“YES”), the growth diagnosis means 16 identifies the strain as a poor growth strain. In addition, for the remaining 80% of stocks that are not in the top 10% and bottom 10% when sorted in ascending order based on the growth balance value calculated for each stock ("NO" in Step 27 of Figure 7) (“NO” in Step 28 of FIG. 7), the growth diagnostic means 16 identifies the strain as a growing common strain. It should be noted that the plants identified by the growth diagnostic means 16 as excellent growth stocks and poor growth stocks are not limited to the top 10% and bottom 10% of growth balance values. It is possible to arbitrarily set the percentage of the top and bottom of the growth balance value for the excellent growth stocks and the poor growth stocks, respectively.

Next, the management work analysis means 18 analyzes the management work for the growth of the stock (Step 3 in FIG. 2). Specifically, for each stock, the management work value is calculated from its management work data, and the discrepancy between the management work standard value set based on the management work value of the good-growing stock and the management work value of the poor-growing stock is calculated. The rate is calculated.

Specifically, the user inputs management work data for each stock using the input device 40. Management work items to be input include, for example, irrigation, additional fertilization, leaf removal, flower removal, and fruit removal. Specifically, for the management work item of irrigation, the amount of water in the irrigation equipment, for the management work item of top-dressing, the amount of additional fertilizer in the top-dressing equipment, for the management work item of leaf removal, the number of leaves, and for the management work item of flower thinning, the number of flowers. The number of fruits is the number of fruits, and the management work item of fruit thinning is the number of fruits. Regarding irrigation and top dressing, a sensor may be attached to the irrigation device or top dressing device as the measuring device 44, and the amount of water in the irrigation device and the amount of top dressing in the top dressing device may be automatically measured by the sensor. In this case, information on the amount of irrigation in the irrigation device and the amount of additional fertilization in the top dressing device, which are measured by a sensor serving as the measuring device 44, are transmitted from the sensor to the control device 10.

The control device 10 calculates a management work value based on the management work data input by the input device 40 and the management work data measured by the measuring device 44 (Step 31 in FIG. 8). Specifically, the control device 10 calculates the total amount of irrigation since the previous measurement for the irrigation management work item, the total value of the amount of additional fertilizer for the past two weeks for the top dressing management work item, and the total value of the amount of additional fertilizer for the last two weeks, and the leaf removal management work item. For the management work item of flower thinning, the change in the number of leaves in the last two weeks is calculated, for the management work item of flower thinning, the change in the number of flowers in the last two weeks, and for the management work item of fruit thinning, the change in the number of fruits in the last two weeks is calculated.

Furthermore, for a strain that is identified as an excellent growth strain by the growth diagnosis means 16 described above ("YES" in Step 32 of FIG. 8), the control device 10 calculates the average value of the management work value of the strain, and calculates the average value of the management work value of the strain. The average value is set as the management work reference value (Step 33 in FIG. 8). Note that the method for calculating the management work reference value is not limited to the method of calculating the average value of the management work values of strains identified as excellent growth stocks. As another method for calculating the management work standard value, for example, the management work value of a good growing strain that is physically closest to a strain identified as a poor growing strain may be used as the management work standard value, or the cultivation performance data may be used as the management work standard value. The management work value of the strain with the highest yield or the best quality among these may be used as the management work reference value, or the management work reference value may be a recommended management work value based on existing research results.

Furthermore, for a strain identified as a poor growth strain by the above-mentioned growth diagnostic means 16 ("YES" in Step 34 of FIG. 8), the control device 10 determines the management work value and the management work standard value of this growth failure strain. The deviation rate (management work deviation rate) is calculated for each management work item (Step 35 in FIG. 8). The management work deviation rate for each management work item is calculated using the following formula.

B _ki : Management work deviation rate k: Management work item (specifically, irrigation: k = 1, top dressing: k = 2, leaf removal: k = 3, flower removal: k = 4, fruit thinning: k = 5)
i: Number of poorly growing stock W _k0 : Management work standard value of management work item k W _ki : Management work value of management work item k of poorly growing stock i

In this way, the management work analysis means 18 calculates the management work deviation rate for each management work item for plants with poor growth.

Next, the management work advice output means 20 outputs management work advice for plants with poor growth (Step 4 in FIG. 2). Specifically, the management work advice output means 20 arranges the management work deviation rates of the management work items for each plant with poor growth in descending order, and outputs the management work items in which the management work deviation rates are arranged in descending order. The information on the management work items, which are arranged in descending order of management work deviation rate and output by the management work advice output means 20, is displayed on the display device 42. This makes it clear which management work items should be prioritized, and allows the user to recognize which management work items should be improved first. In addition, for each plant with poor growth, the advice information shown in the table below is output based on the management work value and management work standard value of each management work item. The relationship between the content of advice and management work items, etc. as shown in the table below is stored in advance in the storage device 30.

The content of the advice output by the management work advice output means 20 can also be refined by machine learning of the history of stock growth improvement.

Thereafter, in order to confirm the effect of improving the growth of the stock due to the advice output by the management work advice output means 20, the control device 10 outputs the history of the index of growth unevenness and growth state (Step 5 in FIG. 2). . Regarding the degree of uneven growth, the coefficient of variation of each index of the growth state of each strain is calculated as shown in the following formula.

j: Index of growth status (e.g. stem diameter: j = 1, leaf area index: j = 2, growth balance value: j = 3)

The control device 10 outputs the growth unevenness degree _Cvj for each index of the growth state, and the display device 42 displays a history graph of the growth unevenness degree _Cvj for each index outputted by the control device 10. The display device 42 also displays a history of growth state indicators output by the control device 10. This allows the user to check the growth unevenness degree C _vj for each growth state index and the history of the growth state index. In addition, strains identified as having poor growth are preferentially displayed on the display device 42. This allows the user to confirm whether the growth condition of the poorly growing strain has been improved. For example, for a strain identified as having poor growth during the previous growth data measurement, the values of each index of growth status are displayed in comparison on the display device 42 as shown in the table below.

When one round of harvesting of fruits, etc. of each strain is completed, the yield data, growth measurement data, values of various indicators of growth status, management work values, etc. of each strain for the entire cultivation period stored in the storage device 30 are controlled. It is output by the device 10 and displayed on the display device 42 or stored in the storage device 30. Further, the actual cultivation data outputted by the control device 10 is referred to when the diagnostic reference value setting means 14 sets the diagnostic reference value in the next cultivation (Step 6 in FIG. 2). Specifically, for example, the stem diameter, leaf area index, growth balance value, etc. of a strain identified as an excellent growing strain are referred to when setting the diagnostic reference value. This allows the diagnostic reference value setting means 14 to more accurately set the set stem diameter, set leaf area index, and set growth balance value as the diagnostic reference values in the next cultivation.

According to the information processing system 1, the program, and the information processing method of the present embodiment having the above-described configuration, by executing the program, the control device 10 (computer) is connected to the receiving means 12 and the diagnostic reference value setting means. 14, growth diagnosis means 16, management work analysis means 18, and management work advice output means 20. The diagnostic standard value setting means 14 sets the diagnostic standard value of the strain, the growth diagnosis means 16 calculates the value of the growth state index of each strain based on the growth measurement data of each strain received by the receiving means 12, The management work analysis means 18 specifies whether each strain is a poor growth strain based on the calculated growth condition index value and diagnostic reference value, and the management work analysis means 18 determines whether or not each strain is a growth defective strain. The reception means 12 analyzes the management work for the growth of the stock based on the management work data received, and the management work advice output means 20 analyzes the management work for the growth of the stock based on the analysis result of the management work performed by the management work analysis means 18. Outputs information on advice on managing bad stocks. According to these technical matters, even if uneven growth occurs when cultivating fruits and vegetables, it is possible to prevent the occurrence of poorly growing plants as much as possible by outputting information on advice on managing poorly growing plants. Can be suppressed.

Furthermore, as described above, the growth diagnosis means 16 specifies whether each strain is an excellent growth strain, an ordinary growth strain, or a poor growth strain based on the value of the calculated growth state index. Furthermore, the management work analysis means 18 calculates a management work value from the management work data received by the reception means 12, and sets a management work reference value based on the management work value of the strain identified as a strain with excellent growth. , calculate the deviation rate between the set management work reference value and the management work value of the poorly growing strain, and output the deviation rate as an analysis result of the management work. In this case, when the reception means 12 receives the work management data, it receives data for each of a plurality of management work items as work management data, and the management work analysis means 18 analyzes the management work of each management work item received by the reception means 12. Calculate the management work value for each management work item from the data, set the management work standard value for each management work item based on the management work value of the strain identified as an excellent growth strain, and set the management work standard. The deviation rate between the value and the management work value of plants with poor growth is calculated for each management work item, and the deviation rate of each management work item is output as an analysis result of the management work.

Further, as described above, the management work reference value is not limited to being set based on the management work value of a strain that has been identified as an excellent growing strain. As another aspect, the management work analysis means 18 sets a management work standard value in advance, calculates the management work value from the management work data received by the reception means 12, and compares it with the preset management work standard value. The deviation rate from the management work value of the poorly growing stock may be calculated, and the deviation rate may be output as an analysis result of the management work. Here, the preset management work standard value is, for example, the management work value of a good-growing strain that is physically closest to a strain identified as a poor-growing strain, the maximum yield in cultivation performance data, or It may be a management work value for the best quality strain, or a recommended management work value based on existing research results. In this case, when the reception means 12 receives the work management data, it receives data for each of a plurality of management work items as work management data, and the management work analysis means 18 sets the management work reference value for each management work item in advance. Then, the reception means 12 calculates the management work value of each management work item from the management work data of each management work item received, and calculates the discrepancy between the preset management work standard value and the management work value of plants with poor growth. The rate may be calculated for each management work item, and the deviation rate of each management work item may be output as an analysis result of the management work.

Further, the management work advice output means 20 arranges the management work deviation rates of the management work items for each plant with poor growth in descending order, and outputs the management work items in which the management work deviation rates are arranged in descending order. This makes it clear which management work items should be prioritized, and allows the user to recognize which management work items should be improved first. Note that the management work advice output means 20 may arrange the management work deviation rates of the management work items for each plant with poor growth in ascending order instead of descending order, and output the management work items in which the management work deviation rates are arranged in ascending order. .

Further, advice information for each management work item is stored in the storage device 30, and the management work advice output means 20 stores information based on the deviation rate of each management work item output by the management work analysis means 18. By using the information stored in the device 30, advice information for each management work item is output. This allows the user to modify the cultivation method for plants with poor growth in accordance with the output advice regarding each management work item.

Furthermore, the management work items include at least one of irrigation, additional fertilization, leaf removal, flower removal, and fruit removal. In the above description, the management work items include all of watering, fertilizing, leaf thinning, flower thinning, and fruit thinning, but the present embodiment is not limited to such a mode. Some, but not all, of management work items such as irrigation, additional fertilization, leaf removal, flower removal, and fruit removal may be used.

Furthermore, the growth condition index includes at least one of a stem diameter, a leaf area index, and a growth balance value. In the above description, the growth condition index includes all of the stem diameter, leaf area index, and growth balance value, but the present embodiment is not limited to such an aspect. As the growth condition index, some but not all of the stem diameter, leaf area index, and growth balance value may be used.

Further, the diagnostic reference value setting means 14 is based on the information received by the reception means 12 and inputted by the user through the input device 40, or the growth measurement data of the strains identified as excellent growing strains in the past actual cultivation data. Set diagnostic standard values for strains. When the diagnostic standard value of a strain is set based on the growth measurement data of a strain identified as an excellent growing strain in past actual cultivation data, the diagnostic standard value can be set with higher accuracy.

Note that the information processing system 1, the information processing method, etc. according to this embodiment are not limited to the above-described aspects, and various changes can be made.

For example, the method for setting the diagnostic standard value of a strain by the diagnostic standard value setting means 14 is not limited to the method described above. For example, values other than the set stem diameter, set leaf area index, and set growth balance value may be used as the diagnostic reference value for the strain. Alternatively, a method other than a method in which a user inputs a diagnostic standard value using the input device 40 or a method in which a diagnostic standard value is set based on growth measurement data of a strain identified as an excellent growing strain in past actual cultivation data may be used. , a diagnostic standard value for the strain may be set.

Furthermore, the method for identifying each strain by the growth diagnostic means 16 as to whether or not it is a growth-poor strain is not limited to the method described above. As long as it is possible to identify whether or not a strain has poor growth based on the growth measurement data of each strain received by the reception means 12, the growth diagnosis means 16 may diagnose the growth of the strain by a method other than the method described above. good.

Further, the method for analyzing the growth management work of a strain identified as a poor growth strain by the management work analysis means 18 is not limited to the above-mentioned method. The management work analysis means 18 may analyze the management work by a method other than the method described above, as long as it is possible to analyze the management work for the growth of a strain identified as a plant with poor growth.

Furthermore, the method for outputting advice on management work for plants with poor growth by the management work advice output means 20 is not limited to the method described above. The management work advice output means 20 may output advice on management work by a method other than the method described above, as long as it is possible to output advice on management work for plants with poor growth.

Moreover, in the present invention, the strains to be cultivated are not limited to fruits and vegetables. Plants other than fruits and vegetables may be used as the plant for cultivation.

1 Information processing system 10 Control device 12 Reception means 14 Diagnosis standard value setting means 16 Growth diagnosis means 18 Management work analysis means 20 Management work advice output means 30 Storage device 40 Input device 42 Display device 44 Measuring device 46 Imaging device 100 Stem 102 Leaves 104 Flower 106 Stem

Claims (18)

A program that causes a computer to function as a reception means, a growth diagnosis means, and a management work analysis means,
The growth diagnosis means calculates the value of the growth condition index of each strain based on the growth measurement data of each strain received by the reception means, and calculates the value of the growth condition index of each strain and the preset diagnostic reference value. Identify whether each strain is a poor growth strain based on the following,
The management work analysis means is a program for analyzing the management work of the growth of a strain, based on the management work data received by the reception means, for a strain identified as a strain with poor growth. 2. The program according to claim 1, wherein the growth diagnosis means specifies whether each strain is an excellent growth strain, an average growth strain, or a poor growth strain based on the value of the calculated growth condition index. The management work analysis means calculates a management work value from the management work data received by the reception means, and sets and sets a management work standard value based on the management work value of the strain identified as an excellent growing strain. 3. The program according to claim 2, wherein the program calculates the deviation rate between the management work reference value and the management work value of the poorly growing strain, and outputs the deviation rate as an analysis result of the management work. When the receiving means receives work management data, it receives data for each of a plurality of management work items as work management data,
The management work analysis means calculates the management work value of each management work item from the management work data of each management work item received by the reception means, and calculates the management work value of each management work item based on the management work value of the strain identified as an excellent growing strain. Set the management work standard value for each management work item, calculate the deviation rate between the set management work standard value and the management work value for plants with poor growth for each management work item, and calculate the management work standard value for each management work item as the management work analysis result. 4. The program according to claim 3, which outputs a deviation rate of a work item. The management work analysis means sets a management work standard value in advance, calculates the management work value from the management work data received by the reception means, and performs management of poorly grown plants with the preset management work standard value. 2. The program according to claim 1, which calculates a deviation rate from a work value and outputs the deviation rate as an analysis result of management work. When the receiving means receives work management data, it receives data for each of a plurality of management work items as work management data,
The management work analysis means sets a management work reference value for each management work item in advance, and calculates the management work value of each management work item from the management work data of each management work item received by the reception means, Claim 5: A deviation rate between a preset management work reference value and a management work value for plants with poor growth is calculated for each management work item, and the deviation rate for each management work item is output as an analysis result of the management work. Programs listed. further causing the computer to function as a management work advice output means,
2. The program according to claim 1, wherein the management work advice output means outputs advice on management work for plants with poor growth based on the analysis result of the management work performed by the management work analysis means. The growth diagnosis means identifies whether each strain is an excellent growth strain, an ordinary growth strain, or a poor growth strain based on the value of the calculated growth status index,
When the receiving means receives work management data, it receives data for each of a plurality of management work items as work management data,
The management work analysis means calculates the management work value of each management work item from the management work data of each management work item received by the reception means, and calculates the management work value of each management work item based on the management work value of the strain identified as an excellent growing strain. Set the management work standard value for each management work item, calculate the deviation rate between the set management work standard value and the management work value for plants with poor growth for each management work item, and calculate the management work standard value for each management work item as the management work analysis result. 8. The program according to claim 7, which outputs a deviation rate of a work item. When the receiving means receives work management data, it receives data for each of a plurality of management work items as work management data,
The management work analysis means sets a management work reference value for each management work item in advance, and calculates the management work value of each management work item from the management work data of each management work item received by the reception means, Claim 7: A deviation rate between a preset management work reference value and a management work value for plants with poor growth is calculated for each management work item, and the deviation rate for each management work item is output as an analysis result of the management work. Programs listed. 9. The management work advice output means arranges the management work deviation rates of the management work items for each plant with poor growth in descending order or ascending order, and outputs the management work items in which the management work deviation rates are arranged in descending order or ascending order. or the program described in 9. Advice information for each management work item is stored in a storage device, and the management work advice output means stores information in the storage device based on the deviation rate of each management work item output by the management work analysis device. 10. The program according to claim 8, which outputs advice information for each management work item by using the information provided. 7. The program according to claim 4, wherein the management work items include at least one of irrigation, fertilizing, leaf removal, flower removal, and fruit removal. 2. The program according to claim 1, wherein the value of the growth condition index includes at least one of a stem diameter, a leaf area index, and a growth balance value. further causing the computer to function as a diagnostic reference value setting means,
The diagnostic reference value setting means diagnoses the strain based on the information input by the user using the input device and received by the receiving means, or the growth measurement data of the strain identified as an excellent growing strain in past actual cultivation data. The program according to claim 1, which sets a reference value. A computer that functions as a reception means, a growth diagnosis means, and a management work analysis means by executing a program,
The growth diagnosis means calculates the value of the growth condition index of each strain based on the growth measurement data of each strain received by the reception means, and calculates the value of the growth condition index of each strain and the preset diagnostic reference value. Identify whether each strain is a poor growth strain based on the following,
The management work analysis means is a computer configured to analyze the management work of the growth of the strain, based on the management work data received by the reception means, for the strain identified as having poor growth. comprising a control device and an input device,
The control device functions as a reception means, a growth diagnosis means, and a management work analysis means by executing a program,
The growth diagnosis means calculates the value of the growth condition index of each strain based on the growth measurement data of each strain received by the reception means, and calculates the value of the growth condition index of each strain and the preset diagnostic reference value. Identify whether each strain is a poor growth strain based on the following,
The management work analysis means analyzes the management work of the growth of the stock based on the management work data inputted by the input device and received by the reception means for the strain identified as having poor growth. processing system. further comprising a display device;
The control device further functions as a management work advice output means by executing the program,
17. The information according to claim 16, wherein the management work advice output means outputs advice on management work for plants with poor growth based on the analysis result of the management work, and the outputted information is displayed on the display device. processing system. An information processing method performed by a computer executing a program,
The growth condition index value of each strain is calculated based on the growth measurement data of each strain received, and each strain is determined to be a poor growth strain based on the calculated growth condition index value and preset diagnostic standard values. a step of identifying whether or not there is a
A step of analyzing the growth management work of the strain for the strain identified as having poor growth based on the received management work data;
An information processing method with

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