JP2023086295A - Method and program for predicting growth - Google Patents

Abstract

To easily predict harvest prediction information and output the information.SOLUTION: An information processor receives an input of the type of a crop and the condition of growth from a user and acquires reference data for the type of an input crop from reference data DB (see Drawing 7a). The information processor corrects the reference data on the basis of the difference between the input growth condition and the growth condition related to the acquired reference data (see Drawing 7b). The information processor displays, in a display unit, information obtained from the corrected reference data (harvest prediction information including a harvest predicted date or a predicted yield amount.SELECTED DRAWING: Figure 7

Description

The present invention relates to a growth prediction method and a growth prediction program.

It is important to accurately predict the growth status and yield of vegetables and the like. For example, if the yield is higher than the forecast, it will lead to unsold goods, and if the yield is lower than the forecast, sales opportunities will be lost or the contracted quantity cannot be delivered to the contractor, which may lead to a loss of credibility. Because there is In addition, if the yield prediction accuracy is poor, it will affect the securing of personnel required for harvesting work and the allocation of personnel.

Conventionally, producers and the like refer to past records of the same period, the previous yield, and the growth state of crops, and make yield predictions based on experience and intuition.

In addition, recently, a technology that refers to the basic data of a variety corresponding to a plant variety and presents breeding information for that variety (see Patent Document 1, etc.), and a prediction model using a prediction model based on weather conditions and field conditions. is known (see Patent Document 2, etc.).

JP 2006-333744 A JP 2013-51887 A

However, when the producer or the like predicts the yield based on experience and intuition, the prediction accuracy is low. In addition, in the case of Patent Document 1, the presented breeding information does not match the actual breeding situation of producers, etc., and in the case of Patent Document 2, a large-scale system is required because a prediction model is used. Therefore, it is not possible for small and medium-sized producers and consumers to easily check changes in crop growth conditions and yields.

In one aspect, an object of the present invention is to provide a growth prediction method and a growth prediction program capable of easily predicting and outputting information about the growth of crops.

In one aspect, the growth prediction method receives input of crop types and growing environment information for the crops, and indicates reference data regarding the growth of a plurality of types of crops and the growth environment when the reference data is obtained. Reference data corresponding to the type of the input crop is obtained by referring to a storage unit that stores the reference environment information in association with the reference data, and the input growing environment information is associated with the obtained reference data. In the growth prediction method, a computer executes a process of correcting the acquired reference data based on the difference from the reference environment information and outputting information obtained from the corrected reference data.

Information on crop growth can be easily predicted and output.

It is a figure which shows roughly the hardware constitutions of the information processing apparatus which concerns on one Embodiment. 3 is a functional block diagram of an information processing device; FIG. FIG. 3(a) is a diagram showing an example of reference data for the crop "tomato", and FIG. 3(b) is a diagram showing an example of reference data for the crop "cabbage". It is a figure which shows an example of the reference data of crops "Chrysanthemum". It is a flowchart which shows the process started from the stage when the growth prediction program was started. It is a figure which shows an example of an input screen. FIG. 7A shows an example of reference data before correction, and FIG. 7B shows an example of reference data after correction. It is a figure which shows an example of a display screen. 9 is a flow chart showing processing of an output processing unit after displaying a display screen; It is a figure which shows an example of the display screen which displayed detailed information. It is a figure which shows the information processing system which concerns on a modification.

An embodiment will be described in detail below with reference to FIGS. 1 to 10. FIG. FIG. 1 shows the hardware configuration of an information processing device 10 according to one embodiment. The information processing device 10 is a terminal such as a PC (Personal Computer) or a smart phone, and is a terminal that can be used by a producer of agricultural products (hereinafter referred to as "user"). When the user inputs the type of crop and cultivation conditions (growing environment information), the information processing apparatus 10 obtains information on the predicted harvest date indicating when the crop can be harvested and the predicted harvest amount indicating how much can be harvested. View harvest forecast information, including:

As shown in FIG. 1, the information processing apparatus 10 includes a CPU (Central Processing Unit) 190, a ROM (Read Only Memory) 192, a RAM (Random Access Memory) 194, storage (HDD (Hard Disk Drive) and SSD (Solid State Drive)) 196, a network interface 197, a display unit 193, an input unit 195, a portable storage medium drive 199, and the like. The display unit 193 includes a liquid crystal display and the like, and the input unit 195 includes a keyboard, mouse, touch panel and the like. Each component of the information processing apparatus 10 is connected to the bus 198 . In the information processing apparatus 10, the CPU 190 executes a program (including a growth prediction program) stored in the ROM 192 or HDD 196, or a program (including a growth prediction program) read from the portable storage medium 191 by the portable storage medium drive 199. , the functions of the units shown in FIG. 2 are realized.

FIG. 2 is a functional block diagram of the information processing device 10. As shown in FIG. As shown in FIG. 2, the information processing apparatus 10 functions as an input reception unit 20, a reference data acquisition unit 22, a correction unit 24, and an output processing unit 26 by the CPU 190 executing programs.

The input reception unit 20 acquires information input by the user. Here, when the growth prediction program is started, an input screen as shown in FIG. In the input screen of FIG. 6, one or more types of crops to be cultivated can be selected, and cultivation conditions (average temperature, average solar radiation, sowing date, planting date, cultivation area) can be input. After the user selects crops and inputs cultivation conditions, when the user presses the "confirm harvest prediction information" button, the input reception unit 20 acquires the information selected and input by the user. The input reception unit 20 transmits the acquired information to the reference data acquisition unit 22 and the correction unit 24 .

The reference data acquisition unit 22 acquires reference data corresponding to the type of crop selected by the user from the reference data DB 30 . Here, it is assumed that the reference data DB 30 stores crop reference data as shown in FIGS.

For example, the data in FIG. 3A is reference data obtained when tomatoes were actually cultivated, and the cultivation conditions (the reference environment including the average daily temperature and the average daily amount of solar radiation) information), graphs showing changes in plant height after sowing and planting (time changes in morphological characteristics), harvest time, illustrations and photographs showing time changes in morphological characteristics of crops, yield (per day, per unit area) per). The change in plant height over time and the yield may be obtained by averaging a plurality of cultivation results cultivated under the same cultivation conditions. In addition, when generating the graph, the measured value of the plant height is measured at predetermined time intervals. (a straight line connecting the measured values for the first and second times). In addition, information on dimensions (crop width W1, crop height (crop length) L1) and information on flowering and fruiting are also added to illustrations and photographs showing changes in morphological features ( It is assumed that L1 and W1 are actually specific numerical values).

The data in FIG. 3(b) are reference data obtained when cabbage is grown, and contain the same information as the tomato reference data in FIG. 3(a). In addition, in FIG. 3(b), the graph showing the temporal change of the shape characteristics is a graph showing the change of the ball diameter.

The data in FIG. 4 are reference data obtained when chrysanthemums were cultivated, and include the same information as in FIGS. 3(a) and 3(b). In addition, in FIG. 4, the graph showing the time change of the shape feature is a graph showing the change of the height of the plant. Although FIGS. 3A to 4 show the reference data for three types of crops (tomatoes, cabbages, and chrysanthemums), the reference data for other types of crops are also stored in the reference data DB 30. It shall be

Returning to FIG. 2, the correction unit 24 corrects the reference data based on the cultivation conditions (average temperature, average solar radiation, seeding date, planting date, cultivation area) input by the user on the input screen of FIG. The correction unit 24 transmits the corrected reference data to the output processing unit 26 .

The output processing unit 26 acquires harvest prediction information from the reference data corrected by the correction unit 24 , creates a display screen for displaying the acquired harvest prediction information, and displays it on the display unit 193 . For example, the output processing unit 26 displays a display screen as shown in FIG. In addition, the output processing unit 26 changes the display screen as shown in FIG. 10 according to the user's operation.

(Processing of information processing device 10)
Next, the processing of the information processing apparatus 10 will be described in detail along the flow charts of FIGS. 5 and 9 and with appropriate reference to other drawings.

The process of FIG. 5 is a process started from the stage when the growth prediction program is activated according to the user's operation.

5 is started, first, in step S10, the output processing unit 26 displays an input screen as shown in FIG. The user can select one or a plurality of types of crops for which the harvest amount and harvest date are to be confirmed on the input screen of FIG. 6 . Here, as an example, it is assumed that the user has selected "tomato" and "cabbage". In addition, in the input screen of FIG. 6, the crops are indicated by illustrations and letters. This makes it easier for the user to select the type of crop.

In addition, the user inputs cultivation conditions (average temperature, average solar radiation, sowing date, fixed planting date, cultivation area) on the input screen. Then, the user presses the "Confirm Harvest Forecast Information" button provided in the input screen when all inputs have been completed. Note that the user does not have to manually input the average temperature and the average amount of solar radiation. For example, the input reception unit 20 may automatically calculate the average temperature and the average amount of solar radiation based on information on the date of sowing and the date of planting, past weather data, and future forecast data.

After step S10, the input reception unit 20 waits until the "confirm harvest prediction information" button is pressed in step S12. Therefore, when the user presses the button, the input reception unit 20 proceeds to step S14.

After shifting to step S14, the input receiving unit 20 acquires the type of crop selected by the user and the cultivation conditions input by the user.

Next, in step S16, the reference data acquisition unit 22 acquires from the reference data DB 30 the reference data corresponding to the crop type selected by the user. When the user selects "tomato" and "cabbage", the reference data for "tomato" shown in FIG. 3(a) and the reference data for "cabbage" shown in FIG. 3(b) are obtained.

Next, in step S18, the correction unit 24 corrects the reference data according to the cultivation conditions. For example, in the case of tomatoes, based on cultivation data accumulated in the past, there is a tendency that "if the average temperature is x°C higher, the period from planting to harvest will be shortened by y%", and "the average amount of solar radiation is zMJ /m ² is high, the period from planting to harvest is shortened by w%." In this case, the correction unit 24 compares the average temperature and average solar radiation amount of the reference data (reference environment information) with the average temperature and average solar radiation amount input by the user, and based on the comparison result, determines the temperature from planting to harvest. correct the number of days. For example, when the correction unit 24 determines that it is necessary to correct the number of days from the fixed planting to the harvest date of the reference data to be shortened by 90% based on the comparison result, the graph of the reference data shown in FIG. , is corrected as shown in FIG.

In addition, if the harvested amount (per unit area) of the reference data also has a tendency according to changes in the average temperature or the average amount of solar radiation, the correction unit 24 calculates the harvested amount (per unit area) based on the tendency ) is corrected.

The correction unit 24 also performs the same process as that for the tomato on the cabbage.

Next, in step S<b>20 , the output processing unit 26 identifies the predicted harvest date and the predicted harvest amount from the reference data corrected by the correction unit 24 . Specifically, the output processing unit 26 identifies the predicted harvest date based on the reference data corrected by the correction unit 24 and the sowing date and the planting date input by the user. In addition, the output processing unit 26 obtains the product of the cultivated area input by the user and the harvested amount (per unit area) after correction, and obtains the predicted harvested amount (per cultivated area). Then, the output processing unit 26 creates a display screen of harvest prediction information as shown in FIG. 8 and displays it on the display unit 193 . In the display screen of FIG. 8, it is assumed that a check box is provided for each crop, and a "details" button is provided above the check box. By checking the checkbox and pressing the "details" button, the user can check the detailed data of the checked crop.

Next, processing executed by the output processing unit 26 with the display screen of FIG. 8 displayed on the display unit 193 will be described with reference to the flowchart of FIG.

When the process of FIG. 9 is started, first, in step S30, the output processing unit 26 waits until the user presses the "details" button. When the user checks the check box of the crop for which detailed information is desired and presses the "details" button, the output processing unit 26 proceeds to step S32. In this embodiment, it is assumed that the user has checked "tomato" and "cabbage" and pressed the "details" button.

After moving to step S32, the output processing unit 26 creates a display screen including detailed information and an input button as shown in FIG. As shown in FIG. 10, the detailed information is a graph or illustration of the reference data after correction, in which the date of planting and the date of harvest are displayed. The input button, as shown in the upper right of the display screen, is a button for inputting correction information for raising or lowering the average temperature (temperature) or advancing or delaying the sowing date or the planting date. The input buttons may include buttons for increasing or decreasing the average amount of solar radiation, or for increasing or decreasing the cultivated area.

Returning to FIG. 9, after step S32, the process proceeds to step S34, and the output processing unit 26 waits until the input button is pressed (that is, until correction information is input). When the user presses any of the input buttons, the output processing section 26 proceeds to step S36.

After proceeding to step S36, the output processing unit 26 corrects the harvest prediction information according to the pressed input button (that is, the inputted correction information) and updates the display screen. For example, when the user presses the "increase temperature by 1°C" button, the output processing unit 26 notifies the correction unit 24 that the average temperature input by the user on the input screen in Fig. 6 is increased by 1°C. . On the other hand, the correction unit 24 corrects the reference data with the average temperature after adding 1° C., and notifies the output processing unit 26 of the corrected data. Then, the output processing unit 26 updates the display screen of FIG. 10 using the corrected data and displays it on the display unit 193 . The same is true when the user presses the "lower temperature by 1°C" button. Further, when the user presses the button "Advance the seeding date or planting date by one day" or "Delay the date by one day", the predicted harvest date in the display screen of FIG. 193.

Next, in step S38, the output processing unit 26 determines whether or not the processing is finished. That is, it is determined whether the user has performed an operation to close the display screen of FIG. If the determination in step S38 is negative, the process returns to step S34. On the other hand, if the determination in step S38 is affirmative, all the processing in FIG. 9 is terminated.

As described in detail above, according to the present embodiment, when the input receiving unit 20 receives input of the type of crop and cultivation conditions by the user (S14), the reference data acquisition unit 22 obtains from the reference data DB 30, The reference data corresponding to the input crop type is obtained (S16). Further, the correction unit 24 corrects the reference data based on the difference between the input cultivation conditions and the cultivation conditions associated with the acquired reference data. Then, the output processing unit 26 displays on the display unit 193 information obtained from the corrected reference data (harvest prediction information including the harvest prediction date and the predicted harvest amount). As described above, in the present embodiment, the reference data is corrected based on the cultivation conditions, and the information obtained from the corrected reference data is provided to the user as the harvest prediction information. Appropriate harvest forecast information can be provided to the user. Further, in the information processing device 10, the reference data is corrected based on the cultivation conditions, and the information obtained from the corrected reference data is output as the harvest prediction information. Therefore, the harvest prediction information can be easily predicted and output. can be done. In addition, growth prediction programs using AI and machine learning for single crops are expensive and limit the number of producers who can introduce them, but they can easily provide harvest prediction information like this embodiment. If it is a program, it can be developed at a low cost, so the number of producers who can introduce it can be increased. In addition, in the case of this embodiment, since the growth prediction program can target a plurality of types of crops, the producer can confirm the harvest prediction information of a plurality of types of crops at the same time, which is convenient.

In the present embodiment, as shown in FIGS. 3(a), 3(b), and 4, the reference data is data relating to temporal changes in the shape characteristics of crops (indicating temporal changes in plant height and head diameter). graphs) and data (illustrations and photographs) on changes in morphological characteristics of crops over time. Therefore, the output processing unit 26 can provide the user with data based on the temporal changes in these shape features and the data on the temporal changes in the morphological features. By referring to these data, the user can easily confirm how the dimensions and morphology of the crop change.

In addition, in the present embodiment, the reference data includes data on crop yields, so the output processing unit 26 can provide information on predicted yields to the user.

Moreover, in this embodiment, an input button for correcting the cultivation environment is provided on the display screen of FIG. Then, upon receiving an input from the user, the output processing unit 26 displays on the display screen harvest prediction information based on data obtained by further correcting the corrected reference data. Thereby, the user can confirm the change in the harvest prediction information when the cultivation environment is finely changed. Moreover, in this embodiment, since the harvest prediction information changes according to the number of times the input button is pressed, the user can confirm changes in the harvest prediction information through an intuitive operation.

In addition, in the said embodiment, in reference|standard data DB30, you may store the information of a cultivation area in connection with reference|standard data. In this case, the input screen (FIG. 6) allows the user to input the information of the cultivation area. Then, when the user inputs the type of crop and the cultivation area, the reference data acquisition unit 22 acquires the reference data corresponding to the input cultivation area from among the reference data corresponding to the input type of crop. You should do it. As a result, the harvest prediction information can be acquired by correcting the reference data corresponding to the cultivation area, so that it is possible to provide the user with more accurate harvest prediction information.

In the above-described embodiment, the reference data stored in the reference data DB 30 is the reference data for each crop type. It may be data.

In the above embodiment, the case where the input buttons displayed on the display screen of FIG. 10 are the up, down, left, and right buttons has been described. Parts may be used.

In the above embodiment, the harvest forecast information such as the forecast harvest amount and the harvest forecast date may be corrected on the display screen of FIG. When the user modifies this information, the output processing unit 26 obtains and displays the cultivation conditions (average temperature, average solar radiation, sowing date, planting date, cultivation area) corresponding to the corrected harvest prediction information. display on the screen. This allows the user to confirm the cultivation conditions necessary to obtain the corrected predicted yield and the cultivation conditions necessary to enable harvesting on the corrected predicted harvest date. The display screen may be provided with an input button for correcting the harvest forecast information such as the forecast harvest amount and the harvest forecast date. This allows the user to make an input by an intuitive operation.

In the above embodiment, the case where the information processing device 10 has the reference data DB 30 and the information processing device 10 corrects the reference data stored in the reference data DB 30 and outputs harvest prediction information has been described. , but not limited to these. For example, as shown in FIG. 11, in an information processing system 100 in which a server 300 and a user terminal 70 are connected to a network 80 such as the Internet, processing similar to that of the above embodiments may be performed. Specifically, the server 300 has a reference data DB 30, and when information on the type of crops and information on cultivation conditions are input to the user terminal 70, the server 300 acquires the information, Get the reference data corresponding to the crop type from. Then, the server 300 corrects the acquired reference data based on the cultivation conditions, and outputs harvest prediction information obtained from the corrected reference data to the user terminal 70 . Even in this way, it is possible to provide the user with the same information as in the above embodiment. Also, in the case of FIG. 11, the processing load on the user terminal 70 can be reduced. Note that the reference data DB 30 may be held by a device other than the server 300 that can communicate with the server 300 (such as a database server).

Note that the processing functions described above can be realized by a computer. In that case, a program is provided that describes the processing contents of the functions that the processing device should have. By executing the program on a computer, the above processing functions are realized on the computer. A program describing the processing content can be recorded in a computer-readable storage medium (excluding carrier waves).

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.

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

The embodiments described above are examples of preferred implementations 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.

REFERENCE SIGNS LIST 10 information processing device 20 input reception unit 22 reference data acquisition unit 24 correction unit 26 output processing unit 30 reference data DB

Claims (8)

A memory for, upon receipt of inputs of types of crops and growing environment information for said crops, storing in association with reference data relating to the growth of a plurality of types of crops and reference environmental information indicating the growing environment when said reference data was obtained. section to obtain reference data corresponding to the input crop type;
correcting the acquired reference data based on the difference between the input growth environment information and the reference environment information associated with the acquired reference data;
outputting information obtained from the corrected reference data;
A growth prediction method characterized in that processing is executed by a computer. The storage unit stores information about the area where the reference data was obtained in association with the reference data,
2. The method according to claim 1, wherein when input of information on a region where the crops are grown is received in the acquiring process, the reference data corresponding to the type of the crops and the region that have been input are acquired from the storage unit. growth prediction method. 3. The growth prediction method according to claim 1, wherein said reference data includes data relating to temporal changes in morphological characteristics of said crop and data relating to temporal changes in morphological characteristics of said crop. 4. The growth prediction method according to any one of claims 1 to 3, wherein said reference data includes data relating to at least one of a yield and a harvest time of said crop. After receiving the input of correction information of the growing environment information after the output process, further correcting the acquired reference data based on the correction information, and outputting information obtained from the corrected reference data; The growth prediction method according to any one of claims 1 to 4, wherein the processing is further performed by a computer. 6. The growth prediction according to claim 5, wherein said correction information is information based on the number of times each of a button for increasing the value of said growing environment information and a button for decreasing said value of said growing environment information has been pressed. Method. 6. The computer further executes a process of outputting the growth environment information corresponding to the modified information when the output information is modified after the output process. Growth prediction method according to any one of. A memory for, upon receipt of inputs of types of crops and growing environment information for said crops, storing in association with reference data relating to the growth of a plurality of types of crops and reference environmental information indicating the growing environment when said reference data was obtained. Acquiring reference data corresponding to the type of the input crop by referring to the section;
correcting the acquired reference data based on the difference between the input growth environment information and the reference environment information associated with the acquired reference data;
outputting information obtained from the corrected reference data;
A growth prediction program characterized by causing a computer to execute processing.

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