Harvesting date adjustment system and computer program

Abstract

To provide a technique capable of assisting making of a reaping plan during tea harvesting at tea manufacturing plant with consideration given to an appropriate reaping period, plant processing performance, etc.SOLUTION: This technique comprises: a first prediction device that predicts a temporary reaping date or the like from a day of germination; and a second prediction device that predicts a reaping date more appropriate than the temporary reaping date on the basis of growth data obtained on a day calculated from the temporary reaping date or the day of germination. At the second prediction device, making of a plan having the temporary reaping date adjusted to a more appropriate reaping date can be assisted so as to prevent a predicted yield when reaping is carried out on the temporary reaping date from exceeding a plant processing quantity maximum value per day.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a technique for optimizing the picking date while taking into account the operating limits of tea factories and for planning to increase the price of tea. [Background technology]

[0002] Tea factories process picked tea leaves, and the amount they can process in a day is fixed. On the other hand, because tea is a plant, if it is grown in the same region, and there is no significant difference in the climate or soil quality, it will grow in the same way, and the optimal picking time (plucking period) will be around the same time. Therefore, tea factories with processing capacity appropriate to the cultivated area of ​​the fields (tea fields) they are responsible for processing are set up near the fields.

[0003] On the other hand, the quality of the picked tea leaves (and therefore the processed tea) varies depending on the time of picking (picking date). The timing of plucking tea leaves affects the quality of the tea produced, so it is desirable to pick the leaves when they are in the optimum growth stage.

[0004] If the tea leaves are picked earlier than the optimal time (optimal picking date), the buds will be small and the yield will be low. Also, if the leaves are picked before they are fully green, the quality of the tea produced will be reduced.

[0005] If tea leaves are picked later than the optimal time (optimal picking date), the fibrous content increases and the leaves harden, which results in a decrease in tea quality.

[0006] For these reasons, the ability to predict the optimum harvesting time is an important technique for improving the profitability of those involved in tea production. Past data is also important as a reference for making predictions. For this reason, data such as when harvesting took place in each field and when and how the factory operated has been accumulated, and this data has been used to predict the optimum harvest time each year and to improve the factory's operating conditions.

[0007] For example, Patent Document 1 discloses a technology that can easily determine whether or not it is appropriate to pick new buds of tea plants in a short time with high accuracy by acquiring optical data.

[0008] Patent Document 2 uses a method in which tea leaf liquor obtained from picked tea leaves is brought into contact with a metal coloring reagent and the change in state of the tea leaf liquor after contact is determined. This method discloses a technology that makes it possible to easily inspect the quality of tea leaves and determine the appropriate picking time at or near the tea plantation (on-site), without requiring many years of experience, weather data, or special measuring equipment.

[0009] Additionally, research is being conducted to predict growth conditions from the germination stage using parameters such as temperature, rainfall, and fertilization conditions, but this requires a large workload, such as entering data every day until the harvest date, and is not considered practical. [Prior art documents] [Patent documents]

[0010] [Patent Document 1] JP 2013-231645 A [Patent Document 2] JP 2015-161676 A Summary of the Invention [Problem to be solved by the invention]

[0011] The technologies disclosed in Patent Documents 1 and 2 were insufficient in terms of how to utilize the optical data and the measurement results from tea leaf liquid to optimize factory operations. Even if the optimal picking date can be predicted by optical data and tea leaf juice measurements, there is a limit to the operation of tea factories. Therefore, even if the tea leaves are picked on the predicted optimal day, if the tea factory cannot keep up with the processing of the picked tea leaves, they will have to be stored without processing. This storage will significantly reduce the quality of the tea.

[0012] In order to avoid storage, there are cases where production is outsourced to a nearby tea factory that has spare capacity. However, this increases the amount of work involved, such as contacting the factory to see if outsourcing is possible, transporting the picked tea leaves to the outsourced factory if possible, and returning the tea leaves after processing.

[0013] When it is expected that there will be a large amount of fresh tea leaves picked, the current situation is that the amount of leaves to be picked is allocated to each producer in each field so as not to exceed the processing capacity of the factory. As a result, the predicted optimal picking date is shifted.

[0014] As explained above, unless a process is developed to utilize the measurement results in relation to the operating status of the factory, it will not lead to overall optimization or maximization of profits. The problem that the present invention aims to solve is to provide a technology that can adjust the picking date predicted based on tea growth data, taking into account the relationship with factory operation. [Means for solving the problem]

[0015] In order to solve the above-mentioned problems, the present application provides a picking date adjustment system as a first invention and a picking date adjustment program as a second invention.

[0016] (First Invention) The first invention relates to a picking date adjustment system that balances the optimal picking date for a group of tea fields consisting of multiple fields with the operation of a tea factory that processes the picked tea, A first prediction device (see FIG. 5) that predicts a tentative harvest date, etc. based on the germination date; and a second prediction device (see FIG. 6) that predicts a more appropriate picking date than the tentative picking date based on growth data acquired on the tentative picking date or a date calculated from the germination date. The first prediction device is A germination date input means for inputting the germination date of tea in each field; A first storage means for storing in advance a tea season prediction table that records the relationship between past budding dates and plucking dates; a provisional harvesting date calculation means for calculating a provisional harvesting date which is a first provisional harvesting date for each field based on the tea season prediction table and the germination date of each field; Equipped with. The second prediction device is A growth data input means for inputting growth data on the growth state of tea measured on a measurement date calculated from the provisional first plucking date or the budding date for each field; A growth table recording the above growth data and its relationship with actual growth. memory Means, a provisional second picking date calculation means for calculating a provisional second picking date, which is a predicted picking date obtained by correcting the provisional first picking date based on the growth data and the growth table; A second predicted yield calculation means for calculating a predicted yield on the provisional second picking date in each field using the provisional second picking date and the field data table; a factory operation calculation means for provisionally formulating an operation plan for the tea factory based on the predicted yield on the provisional second picking date calculated by the second predicted yield calculation means; A harvesting date adjustment means for adjusting an actual harvesting date which is an actual harvesting date in each farm field based on the operation plan provisionally prepared by the factory operation calculation means; Equipped with. The picking date adjustment means adjusts the operation plan provisionally prepared by the factory operation calculation means by advancing or delaying the actual picking date in the field associated with the provisional second picking date for a predicted yield that exceeds the maximum processing value in the tea factory.

[0017] (Terminology) The "sprouting date (sprouting period)" refers to the day when the sprouting rate reaches 70%. It is a guideline for the harvest date. In Shizuoka Prefecture, the "harvesting date" is 30 to 40 days after the sprouting period (sprouting date). The "provisional second picking date" may be multiple days (Figure 6) or only one optimal day. It is common to set multiple days to allow adjustment by the "picking date adjustment means". However, when using the "priority" described later, the provisional second picking date in a high priority field may be set to the optimal day. "The measurement date calculated from the provisional first picking date or the budding date" is the date when the tea leaves are close to the picking date and is the date when it is easy to measure the growth data to predict the picking date. Specifically, it is about 3 to 10 days before the provisional first picking date. It can also be about 20 to 25 days after the budding date. The "growth data on the state of tea growth" refers to any one of the fiber amount, the nitrogen amount, the chlorophyll amount, and the number of opened leaves, or a combination of two or more of these.

[0018] (action) The first prediction device has a first storage means for storing a tea season prediction table in which the relationship between past germination dates and picking dates is recorded. The germination date input means inputs the tea germination date for each field. Then, the tentative first picking date calculation means calculates a tentative first picking date, which is a first tentative picking date for each field, based on the tea season prediction table and the germination date for each field.

[0019] Second prediction device memoryIn the means, a growth table recording the relationship between the growth data and the actual growth, a field data table recording the processing capacity of the tea factory, etc. are recorded. The growth data input means inputs the growth data on the measured growth state of the tea for each field on the measurement date calculated from the tentative first picking date or the germination date. Then, based on the growth data and the growth table, the tentative second picking date calculation means calculates the tentative second picking date, which is the predicted picking date corrected from the tentative first picking date. Furthermore, the second predicted yield calculation means calculates the predicted yield on the tentative second picking date in each field using the tentative second picking date and the field data table. Based on the calculated predicted yield on the tentative second picking date and the field data table, the factory operation calculation means provisionally plans an operation plan for the tea factory. Then, based on the provisionally planned operation plan, the picking date adjustment means adjusts the actual picking date, which is the actual picking date in each field. The adjustment method involves advancing or delaying the actual harvest date in the field associated with the provisional second harvest date for a predicted yield that exceeds the maximum processing value in the factory, based on the operation plan provisionally prepared by the factory operation calculation means.

[0020] By adjusting the actual picking date for the provisionally planned tea factory operation plan, the tea factory will not pick more than its daily processing capacity. In theory, this means that there will be no tea leaves that are picked but left unprocessed. As a result, tea that has been picked but is processed late will be reduced in quality, contributing to improved overall profitability.

[0021] (Variation 1 of the first invention) The first invention is more preferably formed as follows. That is, the second storage means stores the priority of each field, The harvest date adjustment means adjusts the actual harvest dates of fields with lower priority by delaying the actual harvest dates of the fields with the provisional second harvest dates having predicted yields that exceed the maximum processing value in the factory based on the operation plan provisionally prepared by the factory operation calculation means (see Figure 9).

[0022] (Terminology) "Priority" is a value set for each field that indicates the degree of need to prioritize picking over other fields. It may be a multi-level setting value (for example, 1 to 5) or a score setting with a maximum score (for example, a maximum score of 100 points as shown in Figure 9). For example, a field that can produce extremely high quality (expensive) tea can be pre-set as having a higher priority than a field that cannot produce high quality tea even if picked on the optimal picking date. The relationship between "priority" and "provisional second picking date" may be such that the range of the provisional second picking date is narrowed for fields with a high priority and widened for fields with a low priority. For example, the provisional second picking date is calculated as only one day for a field with a priority of 100, the provisional second picking date is calculated as two days for fields with a priority of 70 to 90, and the provisional second picking date is calculated as three days for fields with a priority of less than 70.

[0023] (action) If there is a field associated with the provisional second picking date whose predicted yield exceeds the maximum processing value in the factory for the operation plan provisionally prepared by the factory operation calculation means, the picking date adjustment means adjusts the operation plan by postponing the actual picking date of the field with a lower priority so as not to exceed the maximum processing value in the factory.

[0024] By adopting the parameter of priority, it is possible to adjust the harvest date, for example, so that the fields that will fetch high prices when the tea is produced are harvested on the most suitable date, which contributes to improving the overall profitability.

[0025] (Variation 2 of the first invention) The first invention is more preferably formed as follows. That is, the first storage means pre-stores a field data table in which past yields in each of the fields are recorded, a first predicted yield calculation means for calculating a predicted yield on the provisional harvesting date in each field by using the provisional harvesting date and the field data table; The second predicted yield calculation means calculates the predicted yield on the provisional second picking date in each field by also using the predicted yield calculated by the first predicted yield calculation means (see FIG. 5).

[0026] (action) A first predicted yield calculation means calculates a predicted yield for each field on the tentative first picking date using the tentative first picking date and the field data table. A second predicted yield calculation means calculates a predicted yield for each field on the tentative second picking date by also using the predicted yield calculated by the first predicted yield calculation means. Since past yields are recorded in advance, the burden of calculating predicted yields can be reduced.

[0027] (Variation 3 of the first invention) The first invention is more preferably formed as follows. That is, a second measurement date will be set between the measurement date and the provisional second harvest date, the second prediction device includes a growth data re-input means for inputting second growth data on the growth state of tea measured on the second measurement date for each farm field; a tentative third picking date calculation means for calculating a tentative third picking date, which is a predicted picking date obtained by correcting the tentative second picking date based on the second growth data and the growth table; a third predicted yield calculation means for calculating a predicted yield on the provisional second picking date in each field using the provisional third picking date and the field data table; a factory operation recalculation means for provisionally rescheduling the operation of the tea factory based on the predicted yield on the provisional third picking date calculated by the third predicted yield calculation means; a harvesting date readjustment means for adjusting an actual harvesting date which is an actual harvesting date in each farm field based on the operation replan provisionally prepared by the factory operation recalculation means; The following is what is required (see Figure 7).

[0028] (action) On a second measurement date set between the measurement date and the provisional second plucking date, second growth data regarding the growth state of tea is measured for each field, and the growth data re-input means inputs the second growth data. The tentative third picking date calculation means calculates a tentative third picking date, which is a predicted picking date obtained by correcting the tentative second picking date, based on the second growth data and the growth table. Then, the third predicted yield calculation means calculates a predicted yield on the tentative third picking date in each field using the tentative third picking date. Based on the predicted yield for the provisional third picking date calculated by the third predicted yield calculation means, the factory operation recalculation means provisionally re-plans the operation of the tea factory. Based on the re-planned operation, the picking date readjustment means adjusts the actual picking date, which is the actual picking date for each field.

[0029] The aforementioned "second measurement date" may be multiple, which will allow for more precise operation planning of the tea factory.

[0030] (Variation 4 of the first invention) The first invention is more preferably formed as follows. That is, the second storage means stores sigmoid data that can be used to draw a sigmoid curve based on past performance data, The provisional second picking date calculation means calculates the provisional second picking date by using the sigmoid data as well.

[0031] (Terminology) A "sigmoid curve" is a curve that shows the relationship between the number of days elapsed since a plant's germination and a value indicating the degree of growth (see Figure 10).

[0032] (action) Since the provisional second picking date calculation means calculates the provisional second picking date using the sigmoid data as well, the provisional second picking date is often more accurate than when the sigmoid data is not used.

[0033] (Variation 5 of the first invention) The first invention is more preferably formed as follows. That is, the first storage means stores contact information of an information terminal related to the manager of each of the farm fields, a harvesting date confirmation means for transmitting a confirmation of the actual harvesting date to the information terminal related to the manager of the farm field related to the actual harvesting date adjusted by the harvesting date adjustment means, using the contact information of the information terminal stored in the first storage means; The picking date confirmation means includes a picking date transmission means for transmitting data for inquiring about the actual picking date adjusted by the picking date adjustment means; A reply receiving means for receiving a reply from an information terminal related to the manager of the farm field; The following is to be provided (see Figure 8).

[0034] (action) The picking date transmission means of the picking date confirmation means uses the contact information of the information terminal stored in the first storage means to transmit a confirmation message of the actual picking date to the information terminal associated with the manager of the field for which the actual picking date has been adjusted by the picking date adjustment means. The farm manager who has received the confirmation of the actual harvest date transmits a reply from his / her information terminal, and the reply is received by the reply receiving means. If the manager accepts the actual harvest date, the actual harvest date is confirmed (FIG. 8 shows that the actual harvest date has become the confirmed harvest date). Providing a means of confirming the harvest date (ensuring a means of confirmation for the field manager) contributes to ensuring that the actual harvest date is carried out.

[0035] (Second Invention) The second invention relates to a computer program for controlling a picking date adjustment system that balances the optimal picking date for a group of tea fields consisting of multiple fields with the operation of a tea factory that processes the picked tea. The computer program is A tea season forecast table recording the relationship between the past germination date and the plucking date, a field data table recording the past yields in each of the fields, a growth table recording the growth data on the tea growth state and the relationship with the actual growth, and a record of the maximum processing value in the tea factory in advance. memory The procedure and A germination date input step for inputting the germination date of each of the fields; a tentative harvesting date calculation step of calculating a tentative harvesting date which is a first tentative harvesting date for each field based on the tea season prediction table and the germination date of each field; A growth data input step of inputting growth data on the growth state of tea measured on a measurement date calculated from the provisional picking date or budding date for each field; a provisional second picking date calculation step for calculating a provisional second picking date, which is a predicted picking date obtained by correcting the provisional first picking date based on the growth data and the growth table; A second predicted yield calculation step of calculating a predicted yield on the provisional second picking date in each field using the provisional second picking date and the field data table; a factory operation calculation procedure for provisionally planning an operation plan for the tea factory based on the predicted yield on the provisional second picking date calculated in the second predicted yield calculation procedure; a harvesting date adjustment procedure for adjusting the actual harvesting date in each field by advancing or delaying the actual harvesting date in the field related to the provisional two harvesting dates of the predicted yield exceeding the maximum processing value in the factory, based on the operation plan provisionally prepared by the factory operation calculation procedure; The above-mentioned harvest date adjustment system is characterized in that the above-mentioned is executed.

[0036] (Variation 1 of the second invention) In the second aspect of the present invention, in the storage step, the priority of each field is recorded, In the above-mentioned harvest date adjustment procedure, an adjustment may be made by delaying the actual harvest dates of fields with lower priority for fields associated with the above-mentioned provisional second harvest date having a predicted yield that exceeds the maximum processing value in the factory based on the operation plan provisionally prepared in the above-mentioned factory operation calculation procedure.

[0037] (Variation 2 of the second invention) The second aspect of the invention may be as follows. That is, in the above-mentioned storage step, a field data table in which past yields in each of the above-mentioned fields are recorded in advance, The harvesting date adjustment system is also caused to execute a first predicted yield calculation step of calculating a predicted yield on the provisional harvesting date in each field using the provisional harvesting date and the field data table; In the second predicted yield calculation procedure, the predicted yield calculated in the first predicted yield calculation procedure is also used to calculate the predicted yield on the second tentative picking date in each field.

[0038] (Variation 3 of the second invention) The second aspect of the invention may be as follows. That is, a second measurement date will be set between the measurement date and the provisional second harvest date, a growth data re-input step of inputting second growth data on the growth state of tea measured on the second measurement date for each farm field; a tentative third picking date calculation step for calculating a tentative third picking date, which is a predicted picking date obtained by correcting the tentative second picking date based on the second growth data and the growth table; A third predicted yield calculation step of calculating a predicted yield on the provisional three picking dates in each field using the provisional three picking dates; a factory operation recalculation procedure for provisionally rescheduling the operation of the tea factory based on the predicted yield for the provisional third picking date calculated in the third predicted yield calculation procedure; a harvesting date re-adjustment procedure for adjusting the actual harvesting date for each farm field based on the operation re-plan provisionally created in the plant operation re-calculation procedure; The above is to be executed by the harvest date adjustment system.

[0039] (Variation 4 of the second invention) The second aspect of the invention may be as follows. That is, the storage procedure records sigmoid data that can draw a sigmoid curve based on past performance data, In the above-mentioned provisional second picking date calculation procedure, the provisional second picking date is calculated using the above-mentioned sigmoid data as well.

[0040] (Variation 5 of the second invention) The second aspect of the invention may be as follows. That is, the storage step includes storing contact information of an information terminal related to the manager of each of the farm fields, A harvesting date confirmation procedure for transmitting a confirmation message of the actual harvesting date to the information terminal of the manager of the farm related to the actual harvesting date adjusted in the harvesting date adjustment procedure. The above-mentioned harvest date adjustment system is to execute the above. The picking date confirmation step includes a picking date transmission step of transmitting data for inquiring about the actual picking date adjusted in the picking date adjustment step; a response receiving step of receiving a response from an information terminal related to the manager of the farm field; It is intended to include the above.

[0041] The computer program according to the second aspect of the present invention can also be transmitted from a computer storing the computer program to other terminals or servers via a communication line. The computer program according to the second aspect of the invention can also be provided by storing it in a recording medium. Here, a "recording medium" is a medium capable of carrying a program that does not occupy space by itself. For example, a hard disk, a CD-R, a DVD-R, a flash memory, etc. Effect of the Invention

[0042] According to the first invention, it is possible to provide a picking date adjustment system that can adjust the picking date predicted based on tea growth data, taking into account the relationship with factory operation. According to the second invention, it is possible to provide a control program for a picking date adjustment system that can adjust the picking date predicted based on tea growth data, taking into account the relationship with factory operation. [Brief description of the drawings]

[0043] [Figure 1](a) is a conceptual diagram showing the relationship between predicting the tea season from the date of bud break, when bud break is confirmed, and formulating a factory operation plan, and (b) is a diagram showing the relationship between correcting the picking forecast and predicted yield on the correction day, which is 7 days before the tea season, and also correcting the factory operation plan. [Diagram 2] This is a conceptual diagram showing a model of a factory operation plan that is formulated by mechanically integrating the predicted yield determined on the day of germination. [Diagram 3] This is a conceptual diagram in which factory operation plan A is formulated on the germination date, and the fiber and nitrogen amounts are measured to predict the provisional second harvest date and correct the predicted yield, and factory operation plan B1 is formulated based on this, and the provisional second harvest date is further adjusted from the maximum processing amount. [Figure 4] FIG. 1 is a block diagram showing the overall flow of correcting the picking date and adjusting the picking date (including information processing steps). [Diagram 5] FIG. 1 is a block diagram showing a first prediction device that predicts a provisional harvest date from a germination date (including an information processing procedure). [Figure 6] A block diagram (including information processing procedures) showing a second prediction device that calculates a tentative second harvest date using growth data and a means for adjusting it to an actual harvest date. [Figure 7] FIG. 13 is a block diagram (including an information processing procedure) showing a case where the second prediction device is used multiple times to improve accuracy. [Figure 8] FIG. 13 is a block diagram (including information processing procedures) showing a configuration for confirming with relevant parties whether or not it is OK to carry out the planned picking date calculated by the second prediction device. [Figure 9] 10 is a flowchart showing the relationship between the priority order of fields and the calculation of factory operation. [Figure 10] 1 is a specific example of a sigmoid curve showing the change in the degree of expansion value from the bud burst stage depending on the tea species. [Figure 11] Table (a) shows an example of a harvesting plan that was formulated from the bud break stage, and table (b) shows an example of a plan that was revised based on an investigation of the growth conditions. [Figure 12] Table (a) shows an example of a picking plan formulated without taking into account the factory throughput, and table (b) shows an example of a picking plan adjusted to the maximum factory throughput. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0044] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The drawings used here are FIG.

[0045] (Figure 1) Figure 1(a) conceptually shows that when tea buds in a certain field are confirmed to have sprouted (the buds rate is confirmed to have reached 70%) on April 1st, a picking prediction A and a predicted yield A are output, and the output results for all fields are compiled to create a tea factory operation plan A. Once the bud break date is confirmed, it can be determined from past data that the tea season will be 30 to 40 days later. Therefore, tea season forecast A can be predicted as May 1st to 10th.

[0046] The germination date is not necessarily a single day, and the germination period may vary from field to field, but the date on which germination is confirmed is considered to be the germination date. Once germination can be confirmed in all fields scheduled for tea production at a designated tea factory, factory operation plan A can be formulated.

[0047] Figure 1(b) conceptually shows how fiber and nitrogen measurements are carried out 7 days before tea season prediction A, which is predicted from the budding date mentioned above, and a new tea season prediction B is created (to correct tea season prediction A). Although the measurement targets are described in the figures as fiber amount and nitrogen amount, they are not limited to fiber amount and nitrogen amount as long as the measurement can be used as tea growth data. For example, chlorophyll amount, number of opened leaves, etc. may be substituted, or multiple measured values ​​may be combined.

[0048] (Figure 2) Figure 2 shows that Harvesting Forecast A is the "forecasted yield" of each field predicted from the germination date, assuming that the tentative harvest day is the day when the tea factory will be operating (operating day), and that the factory operation plan A created on April 3, 2020 is the simple sum of those processing volumes. As of April 3rd, when Factory Operation Plan A was created, there was no growth data, so there was no point in making adjustments to take into account the maximum processing volume at the factory, and so no adjustments were made.

[0049] The date when germination was confirmed for field J was April 1st, so the tentative harvest date is May 1st. Based on past yield data, the predicted yield is 11 tons (in the figure, "tons" is abbreviated to "t"). The other fields are as follows: In field K, the date of germination was April 2nd, so the tentative harvest date was May 2nd, and the predicted yield was 14 tons. In field L, the date of germination was April 2nd, so the tentative harvest date was May 2nd, and the predicted yield was 15 tons. In field M, the date of germination was April 3, so the tentative harvest date was May 3, and the predicted yield was 28 tons. In field N, germination was confirmed on April 3rd, so the tentative harvest date is May 3rd, with a predicted yield of 20 tons.

[0050] If we assume that all of the tea leaves harvested on the aforementioned tentative picking date are processed at the tea factory, then according to factory operation plan A formulated on April 3rd, on May 1st only the leaves harvested from field J will be picked, totaling 11 tons, on May 2nd the leaves will be picked from fields K and L, totaling 29 tons, and on May 3rd the leaves will be picked from fields M and N, totaling 48 tons. This factory operation plan A only involves simple calculations. Because there is no tea leaf growth data as of April 3, it would be meaningless to make adjustments that take into account the maximum processing capacity of the factory.

[0051] (Figure 3) Figure 3 shows the procedure for correcting the picking date (to the provisional second picking date) by obtaining measurement data on tea growth on April 23, creating a predicted yield B for that provisional second picking date, and then creating a factory operation plan B from that predicted yield B.

[0052] According to the factory operation plan A formulated on April 3rd, the production volume was 11 tons on May 1st, 29 tons on May 2nd, and 48 tons on May 3rd. However, by measuring the fiber and nitrogen content of the tea leaves, the mechanically calculated provisional first picking date was corrected to calculate the provisional second picking date and predicted yield B. The tentative harvest date is set with a three-day margin to allow for adjustment when deciding on the actual harvest date.

[0053] Next, a factory operation plan B1 is formulated by simply accumulating the amount of tea that would be processed at the tea factory if the tea were picked on the first day of the second picking day. In this example, on May 1st, 12 tons were harvested from field J, on May 2nd, 15 tons from field K, on ​​May 3rd, 14 tons from field L, and on May 4th, 44 tons from fields M and N.

[0054] Since the maximum daily processing volume at the tea factory is 15 tons, the width of the provisional two harvesting dates is used to adjust the maximum volume to 15 tons or less on all days, resulting in factory operation plan B2. Specifically, the field harvested on May 4th will be 15 tons for N only, and the fields harvested on May 5th and May 6th will be half of M. The predicted yield for Field M was 29 tons, but because the picking date was delayed by one day, the tea leaves would have grown, so the yields on May 5th and May 6th were estimated to be 14.7 tons and 14.9 tons, respectively, which is more than half of 29 tons (14.5 tons).

[0055] (Figure 4) FIG. 4 is a block diagram including an information processing procedure that explains the functions of a computer that corrects or adjusts the picking date, with the steps being divided into input, storage, calculation, and output means.

[0056] The harvest date is adjusted from the tentative first picking date to the tentative second picking date based on the growth data, and the predicted yield is calculated for the tentative second picking date. When the germination period (date when the seeds sprouted) is entered into the input means, the provisional harvest date is automatically calculated by adding 30 to 40 days, and an instruction is displayed to input growth data 7 days before the provisional harvest date. When the specified date arrives, the growth data is measured and entered into the input means.

[0057] The storage means stores in advance formulas, data, parameters, etc. for plotting a sigmoid curve showing the relationship between past growth data and growth results. The calculation means calculates the tentative second picking date and the predicted yield on the tentative second picking date for each field using the growth data input by the input means and the formula and data for drawing the sigmoid curve stored in the storage means. The calculation result of the calculation means is output by the output means.

[0058] The adjustment of the picking date is performed by inputting the tentative second picking date and the yield predicted on the tentative second picking date in the above-mentioned correction of the picking date. Then, the first calculation means calculates a factory operation plan (factory operation plan B1 in FIG. 3) for each tentative second picking date using past yield data for each field pre-stored in the storage means.

[0059] The second calculation means adjusts the harvesting date for each field based on the factory operation plan for each tentative harvesting date, taking into account the maximum factory processing value pre-stored in the storage means, and determines the actual harvesting date. The output means outputs the adjusted operation plan (factory operation plan B2 in FIG. 3).

[0060] (Figure 5) FIG. 5 shows in more detail how the computer that performs the correction of the picking date described in FIG. 4 functions. The first storage means stores a tea season prediction table created from past data such as the relationship between the germination date and the picking date, and a field data table created from past data such as the manager's contact information, planting area, and past yield for each field. The germination date input means inputs the germination period (sprouting date), that is, the date when germination was confirmed, for each farm field.

[0061] The tentative first picking date calculation means calculates the tentative first picking date from the tea season prediction table described above. The first predicted yield calculation means calculates a first predicted yield from the calculated tentative first harvest date using the above-mentioned farm field data table. Then, the first prediction output means outputs a first prediction (the tentative first harvest date and its predicted yield) using the calculated first predicted yield.

[0062] (Figure 6) FIG. 6 shows in more detail how the computer performs the harvest date adjustment described in FIG. The second memory means pre-stores a maximum factory processing volume, which is the maximum amount that can be processed in a tea factory in a day, and a growth table created using past growth data and tea field growth data (including various data for drawing a sigmoid curve).

[0063] The growth data input means inputs the growth data of the measurement date calculated from the provisional harvest date or the germination date, specifically, 7 days before. The measurement date is about 20 to 25 days after the germination date or about 3 to 10 days before the provisional harvest date. In Figure 6, two types of growth data, fiber amount and nitrogen amount, are input, but chlorophyll amount and number of opened leaves can also be used, or a combination of two or more of these.

[0064] Using the above-mentioned growth table and growth data, the provisional second picking date calculation means calculates the provisional second picking date. The provisional second picking date should be a more suitable date for picking than the provisional first picking date simply calculated from the germination date. The tentative second harvest date is calculated based on a total of three days, including one day before and one day after the optimal harvest date, in order to allow for adjustments when deciding on the actual harvest date.

[0065] The second predicted yield calculation means calculates the second predicted yield using the calculated tentative second picking date and the above-mentioned farm field data table. In this second predicted yield calculation means, the first day of the tentative second picking date is used as an example, but the middle day or the last day may be used, or multiple types of second predicted yields may be calculated.

[0066] The factory operation calculation means calculates a provisional processing amount assuming that the tea leaves picked on the provisional second picking date are to be processed on that day, assuming that the second predicted yield and the (first day of) the provisional second picking date are set as the provisional operation day of the tea factory. The picking date adjustment means searches for and adjusts the actual picking date by changing the provisional second picking date for the provisional operation day that exceeds the maximum factory processing amount, using the fact that the maximum processing amount in the tea factory is 15 tons per day (maximum factory processing amount) in relation to the calculated provisional processing amount.

[0067] The "actual harvest date" adjusted by the harvest date adjustment means is finally decided by contacting the person in charge of the farm using the harvest date confirmation means. The final decision will be explained with reference to FIG. 8.

[0068] (Figure 7) Figure 7 is a block diagram (including information processing procedures) for collecting growth data multiple times, reselecting a more optimal candidate date for the picking date, and then making adjustments based on the reselected candidate date for the picking date, taking into account the maximum factory processing volume.

[0069] The input of growth data on April 23 (first measurement date) is the same, and the procedure up to the output of the second prediction is almost the same as that described above with reference to Fig. 6. In Fig. 7, since there is no need to adjust the second prediction output by the second prediction output means in consideration of the maximum factory processing volume, tentative operation days and tentative processing volumes are not calculated by the factory operation calculation means (this point differs from that described in Fig. 6). However, even if multiple acquisitions of growth data (and inputs) were planned, it may happen that data acquisition from the second time onwards is not possible. Therefore, it is useful to operate the factory operation calculation means and the harvesting date adjustment means based on the second prediction and calculate the actual harvesting date, processing amount, treatment field, etc.

[0070] Growth data is again acquired and input on any day (second measurement date) after the first measurement date and before the provisional second harvest date. The second measurement date in FIG. 7 was April 27th. The growth data for the second measurement date is input by the growth data re-input means. Then, the tentative third picking date calculation means calculates the tentative third picking date by correcting the tentative second picking date. The third predicted yield calculation means calculates a third prediction for the tentative third picking date using a growth table or the like. Then, the picking date readjustment means readjusts the picking date using the maximum factory processing volume for the factory operation plan calculated by the factory operation recalculation means using the third prediction.

[0071] It is technically possible to obtain growth data not only once or twice, but three or more times. The detailed procedure is the same as that of the embodiment shown in FIG. 7, so a description thereof will be omitted.

[0072] (Figure 8) Fig. 8 is a detailed block diagram of the harvesting date confirmation means shown at the bottom of Fig. 6, including the harvesting date adjustment means shown immediately above it. The arrows of the two-dot dashed lines represent wireless communication, and the arrows of the solid lines represent wired communication.

[0073] In the harvest date confirmation means, the data input means extracts the actual harvest date data of the field to be notified from the data on the actual harvest date for each field adjusted by the harvest date adjustment means. Then, the harvest date transmission means transmits confirmation text data by e-mail to the manager of the field (J) using the contact data of the corresponding field (J) stored in the storage means.

[0074] The manager of Field J receives the email on his / her mobile information terminal (such as a smartphone) and reads the inquiry about the harvest date for the field being May 1st (if Field J harvests on May 1st, there will be no problem with processing at the tea factory, and it is expected that tea processing can be completed on that day). He / she then replies with whether he / she accepts the request or wishes to change the harvest date (if he / she wishes to change the date, he / she should include the data of the desired harvest date).

[0075] Although not shown in the figure, if the harvest date transmission means transmits an inquiry and there is no reply within a predetermined time, the means may retransmit the inquiry or switch to a call by an operator. Also, the call may be made by an operator from the beginning.

[0076] A reply as to whether the picking date is to be accepted or changed is received by a reply receiving means. If the picking date is to be accepted, the actual picking date becomes the confirmed picking date, and a confirmed picking date output means outputs that fact. If the reply receiving means receives a reply requesting a change in the picking date (shown by a dashed line in FIG. 8), the operating date recalculation means recalculates the date based on the desired picking date, taking into account the maximum factory processing volume. The result of the recalculation is then output by the final picking date output means.

[0077] (Fig. 9) Fig. 9 shows an example of an algorithm in which a parameter called "priority" is introduced to the fields, priority data for each field is determined and stored in advance in a storage means, and an operation plan is adjusted based on the priority (adjustment by the harvesting date adjustment means). The algorithm shown in Fig. 9 is shown in an extremely simplified form. Therefore, it does not prevent the adoption of a more rational algorithm. Here, "priority" is a value that indicates the degree of need to prioritize picking over other fields, and is determined for each field on a scale of 100. It may also be substituted with a relative ranking.

[0078] First, the factory operation calculation means tentatively creates an operation plan without considering the priority (S1). Next, the harvest date adjustment means determines whether or not there is a day on which the tentative processing volume on the tentative factory operation days related to the tentative plan exceeds the maximum factory processing volume (S2).

[0079] If there is a day when the maximum factory throughput is exceeded, and if there is a low-priority field among the fields scheduled for picking on that day in the operation plan, the planned picking date for that field is postponed to adjust the operation plan (S3).The step (S2) of determining whether or not there is a day when the maximum factory throughput is exceeded is repeated for the adjustment result.

[0080] If there are no days in the provisional operation plan that exceed the maximum factory throughput, or if there are no more days that exceed the maximum factory throughput after adjustment taking priority into account, adjustment of the operation plan is completed (S4) and the process ends. In the example shown in FIG. 9, the priority of field M is lower than the other fields, so there is a high probability that the work will be postponed.

[0081] In addition, the relationship between the "priority" and the "tentative second picking date" calculated by the tentative second picking date calculation means shown in Figure 6, etc., may be such that the range of the tentative second picking date is narrowed in fields with high priority and the range of the tentative second picking date is widened in fields with low priority (not shown). For example, for a field with a priority of 100, the provisional second picking date is calculated as only one day, for fields with a priority between 70 and 90, the provisional second picking date is calculated as two days, and for fields with a priority below 70, the provisional second picking date is calculated as three days.

[0082] (Figure 10) FIG. 10 is a sigmoid curve showing the relationship between the number of days since bud break and the degree of bud opening (%) according to the type of tea intended for final use. Here, "types of tea" refers to four types: sencha grown outdoors for drinking, sencha grown under cover for drinking, tencha, and regular sencha.

[0083] The sigmoid curve is expressed by the following formula: JPEG0007648996000001.jpg24158

[0084] Furthermore, when fiber content is selected as the growth data, the expansion equation of the sigmoid curve can be expressed as follows. JPEG0007648996000002.jpg22159

[0085] k, m, and a are coefficients (constants) determined by the type of tea (honcha, tencha, open-field cultivation, covered cultivation, etc.), and x is the number of days elapsed, counting from the germination stage as day 0. These parameters are calculated based on past measurement data and observations when collecting growth data.

[0086] For a set predicted harvest date, the predicted yield, predicted fiber content, predicted nitrogen content, predicted chlorophyll content, number of opened leaves, etc. are calculated as function values ​​that calculate the correlation amount of the opening degree expansion value obtained by equation (2). The formulas using functions to calculate predicted yield, predicted fiber value (%), and predicted number of unfolded leaves are shown below. JPEG0007648996000003.jpg9141W(x) Predicted yield x days after germination f(x) The degree of expansion when x days have passed since the germination date b, c Coefficients (constants) determined by open fields, cover, tree vigor, etc.

[0087] JPEG0007648996000004.jpg10144F(x) Predicted fiber volume x days after germination f(x) The degree of expansion when x days have passed since the germination date g, h are coefficients (constants) determined by open field, cover, tree vigor, etc.

[0088] JPEG0007648996000005.jpg11145L(x) Predicted number of leaves x days after bud break f(x) The degree of expansion after x days from the bud break j Coefficient (constant) determined by open field, cover, tree vigor, etc.

[0089] The date for acquiring the training data can also be determined using the formula described above. In addition, it is expected that each of the aforementioned parameters will continue to be appropriately revised (updated) taking into account the addition of future measurement data and discrepancies between calculated values ​​and actual measured values.

[0090] (Fig. 11) Figure 11 shows a more specific depiction of the pick date adjustments shown in the simplified version of Figure 6. There are 12 fields, numbered 101 to 112, and all of the tea varieties are grown outdoors. The budding period in these fields was from April 1 to 4. Figure 11(a) shows the results of measuring the fiber volume on the measurement date of the growth data for the tentative first harvest date derived from the budding period, and formulating a harvesting plan based on the predicted harvesting date (tentative second harvesting date) and yield.

[0091] The fields with April 30th as the provisional harvest date are 102, 110, and 111, and the predicted yields are 2,660, 5,920, and 3,260 kg, respectively. The fields with May 1st as the provisional second harvest date are 104, 105, 106 and 112, with predicted yields of 6,850, 7,450, 3,730 and 3,510 kg, respectively. The fields with May 2nd as the provisional harvest date are 101, 107, and 109, with predicted yields of 4,840, 6,180, and 3,590 kg, respectively. There are 103 and 108 fields with May 3rd as the provisional harvest date, with predicted yields of 5,210 and 6,120 kg, respectively.

[0092] On April 24, the fiber amounts of fields 104, 105, 106, and 112 were measured and found to be 18.39, 18.35, 18.24, and 18.58, respectively. In other words, among the four fields with May 1 as the provisional harvest date, field 106 grew the slowest and field 112 grew the fastest. On the other hand, if all four fields, which have May 1 as their provisional second harvest date, were harvested on May 1, the total yield would be 21,540 kg, which is significantly higher than the 11,840 kg on April 30, the 14,610 kg on May 2, and the 11,330 kg on May 3.

[0093] Therefore, as shown in Figure 11(b), of the four fields with May 1 as the tentative second harvest date, the harvest plan was revised to bring forward 100% (entire amount) of the fast-growing field 112 to the previous day, April 30, and to bring forward 100% (entire amount) of the slow-growing field 106 to the next day, May 2. According to the corrected harvest plan based on this adjustment, the yield forecast for April 30th was 15,350 kg, for May 1st was 14,300 kg, and for May 2nd was 18,340 kg.

[0094] As shown in FIG. 11(c), by using a sigmoid curve, it is possible to predict the fiber volume for three days before and after investigating the growth condition.

[0095] (Fig. 12) As shown in Figure 11, it is possible to adjust the days when the predicted yield is particularly high in order to level out the yield, but in Figure 12, adjustments are made based on the maximum factory processing volume of 15,000 kg (15 tons).

[0096] The fields with April 30th as the provisional harvest date are 102, 110, 111, and 112, and the predicted yields are 2,660, 5,920, 3,260, and 3,510 kg, respectively. There are 104 and 105 fields with May 1st as the provisional harvest date, and the predicted yields are 6,850 and 7,450 kg, respectively. The fields with May 2nd as the provisional harvest date are 101, 106, 107 and 109, with predicted yields of 4,840, 3,730, 6,180 and 3,590 kg, respectively. There are 103 and 108 fields with May 3rd as the provisional harvest date, with predicted yields of 5,390 and 6,120 kg, respectively.

[0097] At this point, the only days exceeding 15,000kg were April 30th (15,350kg) and May 2nd (18,340kg). Therefore, we adjusted the harvest schedule so that 20% of field 111 would be harvested the next day (May 1st) and 100% of field 109 would be harvested the next day. As a result, the predicted yield would be less than 15,000 kg on both harvest dates.

[0098] In addition, because tea leaves grow daily, if the tea leaves are picked one day later than the temporary second picking date, the predicted yield is expected to increase by 8 kg / 10 ares. This point is also taken into consideration when picking tea leaves later or earlier than the temporary second picking date (as in Figure 6).

[0099] As described above, according to the embodiment of the present invention, a picking date adjustment system can be provided that can adjust the picking date predicted based on tea growth data, taking into account the relationship with factory operation. This system contributes to optimizing the picking date of the field being adjusted and improving profitability. It goes without saying that the specific values ​​used in the above-described embodiment will differ depending on the farm fields to which they are applied. [Industrial Applicability]

[0100] The present invention has applicability in the tea manufacturing industry, the machinery manufacturing industry that manufactures and maintains equipment necessary for the tea manufacturing industry, the data service industry that manages and provides data in the tea manufacturing industry, the personnel dispatch industry that arranges personnel allocation in the tea manufacturing industry, the insurance industry that handles property insurance related to tea manufacturing, and the like.

Claims

1. A picking date adjustment system that balances the optimal picking date for a group of tea fields consisting of multiple fields and the operation of a tea factory that processes the picked tea, A first prediction device that predicts a tentative harvest date based on the bud break date; and a second prediction device for predicting a more appropriate harvesting date than the provisional harvesting date based on growth data acquired from the provisional harvesting date or a date calculated from the germination date, The first prediction device is A germination date input means for inputting the germination date of each field; A first storage means for storing in advance a tea season prediction table that records the relationship between past germination dates and plucking dates and a farm field data table that records the past yields in each of the farm fields; a provisional harvesting date calculation means for calculating a provisional harvesting date which is a first provisional harvesting date for each field based on the tea season prediction table and the germination date of each field; Equipped with The second prediction device is A growth data input means for inputting growth data on the growth state of tea measured on a measurement date calculated from the provisional first plucking date or the budding date for each field; A second storage means for storing a growth table that records the relationship between the growth data and actual growth, and a maximum processing value in a tea factory; a provisional second picking date calculation means for calculating a provisional second picking date, which is a predicted picking date obtained by correcting the provisional first picking date based on the growth data and the growth table; A second predicted yield calculation means for calculating a predicted yield on the provisional second picking date in each field using the provisional second picking date and the field data table; a factory operation calculation means for provisionally formulating an operation plan for the tea factory based on the predicted yield on the provisional second picking date calculated by the second predicted yield calculation means; A harvesting date adjustment means for adjusting an actual harvesting date which is an actual harvesting date in each farm field based on the operation plan provisionally prepared by the factory operation calculation means; Equipped with The harvesting date adjustment means adjusts the actual harvesting date in the field related to the provisional harvesting date of the predicted yield exceeding the maximum factory processing amount in accordance with the operation plan provisionally proposed by the factory operation calculation means by advancing or delaying the actual harvesting date. A harvesting date adjustment system characterized by the above.

2. The second storage means stores the priority of each field, The harvesting date adjustment means adjusts the actual harvesting date of a field having a low priority by postponing the actual harvesting date of the field having the provisional second harvesting date, the predicted yield of which exceeds the maximum processing value in the factory, for the operation plan provisionally proposed by the factory operation calculation means. The harvest date adjustment system according to claim 1 .

3. the first storage means pre-stores a field data table in which past yields in each of the fields are recorded; a first predicted yield calculation means for calculating a predicted yield on the provisional harvesting date in each field using the provisional harvesting date and the field data table; The second predicted yield calculation means calculates a predicted yield on the provisional second picking date in each field by using the predicted yield calculated by the first predicted yield calculation means. The harvesting date adjustment system according to claim 1 or 2.

4. A second measurement date shall be set between the measurement date and the provisional second harvest date, The second prediction device includes: a growth data re-input means for inputting second growth data on the growth state of tea measured on the second measurement date for each farm field; a tentative third picking date calculation means for calculating a tentative third picking date, which is a predicted picking date, by correcting the tentative second picking date based on the second growth data and the growth table; A third predicted yield calculation means for calculating a predicted yield on the provisional third picking date in each field using the provisional third picking date; a factory operation recalculation means for provisionally rescheduling the operation of the tea factory based on the predicted yield on the provisional third picking date calculated by the third predicted yield calculation means; a harvesting date re-adjustment means for adjusting an actual harvesting date which is an actual harvesting date in each farm field based on the operation re-plan provisionally prepared by the factory operation re-calculation means; The picking date adjustment system according to any one of claims 1 to 3, further comprising:

5. The second storage means stores sigmoid data that can be used to draw a sigmoid curve based on past performance data, The provisional second harvest date calculation means calculates the provisional second harvest date using the sigmoid data. The harvesting date adjustment system according to any one of claims 1 to 4.

6. The first storage means stores contact information of an information terminal related to a manager of each of the farm fields, a harvesting date confirmation means for transmitting a confirmation message of the actual harvesting date to the information terminal related to the manager of the farm field related to the actual harvesting date adjusted by the harvesting date adjustment means, using the contact information of the information terminal stored in the first storage means; The picking date confirmation means includes a picking date transmission means for transmitting data for inquiring about the actual picking date adjusted by the picking date adjustment means; A reply receiving means for receiving a reply from an information terminal related to the manager of the farm field; The plan was to provide A harvesting date adjustment system according to any one of claims 1 to 5.

7. A computer program for controlling a picking date adjustment system that balances an optimal picking date for a group of tea fields consisting of a plurality of fields with the operation of a tea factory that processes the picked tea, The computer program is a tea season forecast table recording the relationship between past germination dates and plucking dates, a field data table recording the past yields in each of the fields, a growth table recording the growth data on the tea growth state and the relationship with the actual growth, and a storage procedure for recording in advance the maximum processing value in the tea factory; A germination date input step for inputting the germination date of each of the fields; a tentative harvesting date calculation step of calculating a tentative harvesting date which is a first tentative harvesting date for each field based on the tea season prediction table and the germination date of each field; A growth data input step of inputting growth data on the growth state of tea measured on a measurement date calculated from the provisional picking date or budding date for each field; a provisional second picking date calculation step for calculating a provisional second picking date, which is a predicted picking date obtained by correcting the provisional first picking date based on the growth data and the growth table; A second predicted yield calculation step of calculating a predicted yield on the provisional second picking date in each field using the provisional second picking date and the field data table; a factory operation calculation procedure for provisionally planning an operation plan for the tea factory based on the predicted yield on the provisional second picking date calculated in the second predicted yield calculation procedure; a harvesting date adjustment procedure for adjusting the actual harvesting date in each field by advancing or delaying the actual harvesting date in the field related to the provisional two harvesting dates of the predicted yield exceeding the maximum processing value in the factory, based on the operation plan provisionally prepared by the factory operation calculation procedure; The computer program is characterized in that it causes the harvesting date adjustment system to execute the above.

8. In the above-mentioned storage procedure, the priority of each field is recorded, In the above-mentioned harvest date adjustment procedure, the actual harvest date of a field with a low priority is adjusted to be delayed for the field with the provisional harvest date having a predicted yield exceeding the maximum processing value of the factory for the operation plan provisionally proposed in the above-mentioned factory operation calculation procedure.

8. A computer program according to claim 7.

9. In the storage step, a field data table in which past yields in each of the fields are recorded is stored in advance, The harvesting date adjustment system is also caused to execute a first predicted yield calculation step of calculating a predicted yield on the provisional harvesting date in each field using the provisional harvesting date and the field data table; In the second predicted yield calculation procedure, the predicted yield calculated in the first predicted yield calculation procedure is also used to calculate the predicted yield on the second picking date in each field. A computer program according to claim 7 or claim 8.

10. A second measurement date shall be set between the measurement date and the provisional second harvest date, a growth data re-input step of inputting second growth data on the growth state of tea measured on the second measurement date for each farm field; a tentative third picking date calculation step for calculating a tentative third picking date, which is a predicted picking date obtained by correcting the tentative second picking date based on the second growth data and the growth table; A third predicted yield calculation step of calculating a predicted yield on the provisional three picking dates in each field using the provisional three picking dates; a factory operation recalculation procedure for provisionally rescheduling the operation of the tea factory based on the predicted yield for the provisional third picking date calculated in the third predicted yield calculation procedure; a harvesting date re-adjustment procedure for adjusting the actual harvesting date for each farm field based on the operation re-plan provisionally created in the plant operation re-calculation procedure; The above was implemented in the harvest date adjustment system. A computer program according to any one of claims 7 to 9.

11. The storage procedure includes recording sigmoid data that can be used to draw a sigmoid curve based on past performance data, In the above-mentioned provisional second harvest date calculation procedure, the above-mentioned sigmoid data is also used to calculate the provisional second harvest date. A computer program according to any one of claims 7 to 10.

12. The storage step includes storing contact information of an information terminal related to a manager of each of the farm fields, A harvesting date confirmation procedure for transmitting a confirmation message of the actual harvesting date to the information terminal of the manager of the farm related to the actual harvesting date adjusted in the harvesting date adjustment procedure. The above-mentioned harvest date adjustment system is to execute the above. The picking date confirmation step includes a picking date transmission step of transmitting data for inquiring about the actual picking date adjusted in the picking date adjustment step; a response receiving step of receiving a response from an information terminal related to the manager of the farm field; It was decided to include A computer program according to any one of claims 7 to 11.

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