Rice planting schedule information management device

Abstract

To provide a rice planting schedule information management device for easily preparing a more desirable rice planting schedule plan.SOLUTION: The rice planting schedule information management device 1 includes a rice planting schedule calculation section 11, a machine calculation section 12, and a worker calculation section 13. The rice planting schedule calculation section 11 has a generation and AI function of inputting at least field date related to a field, machine date related to a rice planting schedule, and worker date, and outputting the rice planting schedule date related to the rice planting schedule. The machine calculation section 12 has a generation and AI function of inputting at least field date related to a field, rice planting schedule related to a rice planting schedule, and worker date, and outputting the worker date. AI.SELECTED DRAWING: Figure 21

Description

[Technical Field]

[0001] The present invention relates to a rice planting schedule information management device for managing rice planting schedule information. [Background technology]

[0002] An estimation device is known that estimates a worker's proficiency in remotely operating a work vehicle for agricultural work performed by remotely operating the work vehicle, and includes: an efficiency calculation unit that calculates the work efficiency of the first agricultural work using land information for the land that is the target of the first agricultural work, which is the most recently performed agricultural work, and the work results of the first agricultural work by the first worker who performed the first agricultural work; a difficulty calculation unit that calculates a first difficulty level, which is the difficulty of the first agricultural work, as a value that varies depending on the level of work efficiency, and obtains a third difficulty level by correcting the second difficulty level, which is the difficulty of the agricultural work calculated before the completion of the first agricultural work, by the first difficulty level; and a proficiency estimation unit that estimates a first proficiency level, which is the proficiency of the first worker, based on the work efficiency and the third difficulty level, and obtains the third proficiency level by correcting the second proficiency level, which is the proficiency of the first worker estimated before the completion of the first agricultural work, by the first proficiency level (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2024-44854 Summary of the Invention [Problem to be solved by the invention]

[0004] Incidentally, the inventor believes that the trend of convenient functions being implemented one after another in rice planting schedule information management devices will continue to accelerate, taking into consideration the various needs of users.

[0005] However, the inventors have noticed that conventional rice planting schedule information management devices are not necessarily easy to use when using convenient functions.

[0006] More specifically, the inventors have realized that there is a demand for farming information technology that makes it easy to create more desirable rice planting schedule plans.

[0007] The present invention takes into consideration the above-mentioned conventional problems and aims to provide a rice planting schedule information management device that can improve usability. [Means for solving the problem]

[0008] The first aspect of the present invention is a rice planting schedule calculation unit having a generation AI function that inputs at least field data, machine data, and worker data related to the field and outputs rice planting schedule data related to the rice planting schedule; A machine calculation unit having a generation AI function that inputs at least field data related to the field, rice planting schedule data related to the rice planting schedule, and worker data, and outputs machine data; This is a rice planting schedule information management device that is characterized by having at least field data related to the field, rice planting schedule data related to the rice planting schedule, and machine data, and a worker calculation unit that has a generation AI function that inputs worker data.

[0009] The second invention is a rice planting schedule correction unit that, when instructed to correct the rice planting schedule data relating to the rice planting schedule output from the rice planting schedule calculation unit, corrects the output of the rice planting schedule calculation unit in accordance with the instruction, The machine calculation unit is a first rice planting schedule information management device of the present invention that inputs the corrected rice planting schedule data obtained from the rice planting schedule correction unit along with the field data and worker data input to the rice planting schedule calculation unit, and outputs machine data.

[0010] The third aspect of the present invention is to provide a machine correction unit that, when instructed to correct the machine data output from the machine calculation unit, corrects the output of the machine calculation unit in accordance with the instruction, The worker calculation unit is a second rice planting schedule information management device of the present invention that inputs the corrected machine data obtained from the machine correction unit along with the field data and the corrected rice planting schedule data input to the machine calculation unit, and outputs worker data.

[0011] The fourth aspect of the present invention is a rice planting schedule correction unit that, when instructed to correct the rice planting schedule data relating to the rice planting schedule output from the rice planting schedule calculation unit, corrects the output of the rice planting schedule calculation unit in accordance with the instruction, The worker calculation unit is a first rice planting schedule information management device of the present invention that inputs the corrected rice planting schedule data obtained from the rice planting schedule correction unit along with the field data and machine data input to the rice planting schedule calculation unit, and outputs worker data.

[0012] A fifth aspect of the present invention is a method for manufacturing a computer system, comprising: a worker correction unit that, when instructed to correct the worker data output from the worker calculation unit, corrects the output of the worker calculation unit in accordance with the instruction; The machine calculation unit is a fourth rice planting schedule information management device of the present invention that inputs the corrected worker data obtained from the worker correction unit along with the field data and the corrected rice planting schedule data input to the worker calculation unit, and outputs machine data.

[0013] The sixth aspect of the present invention is the rice planting schedule information management device of the first aspect of the present invention, which is equipped with a seedling planting period determination instruction unit that determines whether the seedling planting period obtained from the rice planting schedule data regarding the rice planting schedule output from the rice planting schedule calculation unit exceeds a predetermined number of days, and if it does exceed the predetermined number of days, instructs the start of sowing to be divided into multiple periods of a certain amount each.

[0014] The seventh aspect of the present invention is a method for growing seedlings, wherein the predetermined number of days is the number of days during which the height of the seedlings is within a predetermined range, In a sixth aspect of the rice planting schedule information management device of the present invention, when it is determined that the seedling planting period will exceed the predetermined number of days, the seedling planting period determination instruction unit divides the seedling planting period into a plurality of sub-seedling planting periods, each having a length not exceeding the predetermined number of days, and instructs the sowing time of the seedlings to be planted in each of the plurality of sub-seedling planting periods so that the height of the seedlings falls within the predetermined range for the first time on the first day of each of the plurality of sub-seedling planting periods.

[0015] An eighth aspect of the present invention is the method for producing the farm field data, wherein the farm field data is data of a plurality of predetermined field entities or aggregated field data obtained by performing a predetermined field data calculation on the data of the plurality of predetermined field entities by a field data calculation unit; the machine data is data of a plurality of predetermined machine entities or machine aggregate data obtained by performing a predetermined machine data operation on the data of the plurality of predetermined machine entities by a machine data operation unit, the worker data is data of a plurality of predetermined worker entities or worker aggregate data obtained by performing a predetermined worker data calculation on the data of the plurality of predetermined worker entities by a worker data calculation unit, The rice planting schedule calculation unit is any one of the rice planting schedule information management devices of the present invention, 1 to 7, into which each of the data of the field entities or the field aggregated data, each of the data of the machine entities or the machine aggregated data, and each of the data of the worker entities or the worker aggregated data are input.

[0016] A ninth aspect of the present invention is a method for managing a farm field entity, wherein the data of the farm field entity includes at least data relating to the shape of the farm field, data relating to the depth of the farm field, data relating to the trouble history of the farm field, data relating to the size of the farm field, data relating to the distance to other farm fields, and data relating to the distance to a seedling greenhouse; The data of the machine entity includes at least horsepower data of the machine, size data of the machine, total usage time data in the past, trouble history data, and data on the presence or absence of advanced functions; In an eighth aspect of the rice planting schedule information management device of the present invention, the data of the worker entity is at least physique data, physical strength data, and experience value data.

[0017] The tenth aspect of the present invention is the rice planting schedule information management device of the ninth aspect of the present invention, wherein the field shape related data is the number of vertices of the field, the change in the length of the back-and-forth process, the number of turns, and the height of the outer ridges, the field depth data is the tillage depth, the plowed soil depth, the standard deviation of the plowed soil depth, and the clay content, the field trouble history data is the number of error histories and the length of the stoppage time, and the field size data is the field area, the presence or absence of a straight-line assist function, and the length of the back-and-forth process. [Effects of the Invention]

[0018] The first aspect of the present invention makes it possible to improve usability.

[0019] The second aspect of the present invention makes it possible to improve practicality in addition to the effects of the first aspect of the present invention.

[0020] According to the third aspect of the present invention, in addition to the effects of the second aspect of the present invention, it is possible to further improve practicality.

[0021] According to the fourth aspect of the present invention, in addition to the effects of the first aspect of the present invention, it is possible to improve practicality.

[0022] According to the fifth aspect of the present invention, in addition to the effects of the fourth aspect of the present invention, it is possible to further improve practicality.

[0023] According to the sixth aspect of the present invention, in addition to the effect of the first aspect of the present invention, it is possible to reduce the burden on the worker.

[0024] According to the seventh aspect of the present invention, in addition to the effect of the sixth aspect of the present invention, it is possible to further reduce the burden on the worker.

[0025] According to the eighth aspect of the present invention, in addition to the effect of any one of the first to seventh aspects of the present invention, it is possible to improve convenience.

[0026] According to the ninth aspect of the present invention, in addition to the effect of the eighth aspect of the present invention, it is possible to improve reliability.

[0027] According to the tenth aspect of the present invention, in addition to the effect of the ninth aspect of the present invention, it is possible to further improve reliability. [Brief explanation of the drawings]

[0028] [Figure 1] (a) is a left side view of a rice transplanter according to an embodiment of the present invention; (b) is a plan view of the rice transplanter according to an embodiment of the present invention; [Figure 2] 1 is a block diagram of a rice planting schedule information management device according to an embodiment of the present invention; [Figure 3] Block diagram of a database according to an embodiment of the present invention [Figure 4] FIG. 1 is an explanatory diagram (part 1) of a database according to an embodiment of the present invention. [Figure 5] FIG. 2 is an explanatory diagram of a database according to an embodiment of the present invention (part 2); [Figure 6] FIG. 3 is an explanatory diagram of a database according to an embodiment of the present invention. [Figure 7] FIG. 4 is an explanatory diagram of a database according to an embodiment of the present invention. [Figure 8] Block diagram (part 2) of a rice planting schedule information management device according to an embodiment of the present invention. [Figure 9] FIG. 1 is an explanatory diagram of farm field aggregated data according to an embodiment of the present invention; [Figure 10] FIG. 1 is an explanatory diagram of machine aggregate data according to an embodiment of the present invention; [Figure 11] FIG. 1 is an explanatory diagram (part 1) of worker aggregate data according to an embodiment of the present invention. [Figure 12] (a) An explanatory diagram (part 1) of the field data calculation according to the embodiment of the present invention, (b) An explanatory diagram of the worker data calculation according to the embodiment of the present invention. [Figure 13](a) An explanatory diagram (part 2) of field data calculation according to an embodiment of the present invention; (b) An explanatory diagram (part 3) of field data calculation according to an embodiment of the present invention; (c) An explanatory diagram (part 4) of field data calculation according to an embodiment of the present invention; (d) An explanatory diagram (part 5) of field data calculation according to an embodiment of the present invention; [Figure 14] (a) An explanatory diagram (part 2) of farm field aggregated data according to an embodiment of the present invention, (b) an explanatory diagram (part 2) of machine aggregated data according to an embodiment of the present invention, and (c) an explanatory diagram (part 2) of worker aggregated data according to an embodiment of the present invention. [Figure 15] Block diagram of a rice planting schedule information management device according to an embodiment of the present invention (part 3) [Figure 16] (a) An explanatory diagram (part 1) of a rice planting schedule information management device according to an embodiment of the present invention, (b) An explanatory diagram (part 2) of a rice planting schedule information management device according to an embodiment of the present invention, and (c) An explanatory diagram (part 3) of a rice planting schedule information management device according to an embodiment of the present invention. [Figure 17] (a) An explanatory diagram (part 4) of a rice planting schedule information management device according to an embodiment of the present invention, (b) An explanatory diagram (part 5) of a rice planting schedule information management device according to an embodiment of the present invention, and (c) An explanatory diagram (part 6) of a rice planting schedule information management device according to an embodiment of the present invention. [Figure 18] (a) An explanatory diagram (part 7) of a rice planting schedule information management device according to an embodiment of the present invention, (b) an explanatory diagram (part 8) of a rice planting schedule information management device according to an embodiment of the present invention, and (c) an explanatory diagram (part 9) of a rice planting schedule information management device according to an embodiment of the present invention. [Figure 19] (a) An explanatory diagram (part 10) of a rice planting schedule information management device according to an embodiment of the present invention; (b) An explanatory diagram (parts 1 to 11) of a rice planting schedule information management device according to an embodiment of the present invention; (c) An explanatory diagram (part 12) of a rice planting schedule information management device according to an embodiment of the present invention. [Figure 20] (a) An explanatory diagram (part 5) of a database according to an embodiment of the present invention, (b) An explanatory diagram (part 6) of a database according to an embodiment of the present invention, and (c) An explanatory diagram (part 7) of a database according to an embodiment of the present invention. [Figure 21] Block diagram (part 4) of a rice planting schedule information management device according to an embodiment of the present invention. [Figure 22] Block diagram of a rice planting schedule information management device according to an embodiment of the present invention (part 5) DETAILED DESCRIPTION OF THE INVENTION

[0029] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described in detail with reference to the drawings.

[0030] Similarly, some components may not be shown in the drawings, or may be shown in perspective or in simplified form.

[0031] While explaining the operation of the rice planting schedule information management device 1 of an embodiment of the present invention, we will also explain a rice planting schedule information management device operation control method of an invention related to the present invention, which is realized by the rice planting schedule calculation unit 11 and the like.

[0032] (1) First, the configuration and operation of a rice planting schedule information management device 1 according to an embodiment of the present invention will be specifically described with reference to FIGS.

[0033] 1(a) is a left side view of a rice transplanter 200 according to an embodiment of the present invention, FIG. 1(b) is a plan view of the rice transplanter 200 according to an embodiment of the present invention, FIG. 2 is a block diagram (part 1) of a rice planting schedule information management device 1 according to an embodiment of the present invention, FIG. 3 is a block diagram of a database 101 according to an embodiment of the present invention, FIGS. 4 to 7 are explanatory diagrams (parts 1 to 4) of the database 101 according to an embodiment of the present invention, FIG. 8 is a block diagram (part 2) of a rice planting schedule information management device 1 according to an embodiment of the present invention, FIG. 9 is an explanatory diagram (part 1) of field aggregated data according to an embodiment of the present invention, FIG. 10 is an explanatory diagram (part 1) of machine aggregated data according to an embodiment of the present invention, FIG. 11 is an explanatory diagram (part 1) of worker aggregated data according to an embodiment of the present invention, FIG. 12(a) is an explanatory diagram (part 1) of field data calculation according to an embodiment of the present invention, and FIG. 12(b) is an explanatory diagram (part 1) of ) is an explanatory diagram of worker data calculation in an embodiment of the present invention, Figures 13(a) to 13(d) are explanatory diagrams (parts two to five) of field data calculation in an embodiment of the present invention, Figure 14(a) is an explanatory diagram (part two) of field aggregated data in an embodiment of the present invention, Figure 14(b) is an explanatory diagram (part two) of machine aggregated data in an embodiment of the present invention, Figure 14(c) is an explanatory diagram (part two) of worker aggregated data in an embodiment of the present invention, Figure 15 is a block diagram (part three) of a rice planting schedule information management device 1 in an embodiment of the present invention, Figures 16(a) to 16(c), 17(a) to 17(c), 18(a) to 18(c) and 19(a) to 19(c) are explanatory diagrams (parts one to twelve) of the rice planting schedule information management device 1 in an embodiment of the present invention, and Figures 20(a) to 20(c) are explanatory diagrams (parts five to seven) of the database 101 in an embodiment of the present invention.

[0034] As will be described later, in addition to inputting the number of individual vertices, etc., aggregate data (field evaluation value, also known as rice planting difficulty, machine evaluation value, also known as machine suitability value, and worker evaluation value, also known as worker suitability value) can be input into the neurocomputer system, and by performing neural network training in advance to output the rice planting schedule at the usage stage, a corresponding work schedule can be obtained without a large system calculation load.

[0035] It goes beyond abstract data output to produce visual products such as tables that combine text, images, and graphs (see Figure 7), or tables of text data (see Figures 16 to 20), based on the correlation between input data such as the shape of the field and the workers, and output data such as rice planting schedules. In other words, by applying deep learning to generative AI technology, which is expected to be used in a variety of ways, such as creating documents, images, and music, it is possible to create, with simple user operations, specific rice planting schedule plans that are intuitively easy to understand.

[0036] The rice planting schedule calculation unit 11 has a generation AI function that inputs at least field data related to the field, machine data, and worker data, and outputs rice planting schedule data related to the rice planting schedule.

[0037] A farming information technology can be envisaged that creates a rice planting schedule by newly establishing a rice planting difficulty level as an index showing the difficulty of planning rice planting work and auxiliary work using a rice transplanter 200 having a traveling device 201, a steering device 202, and a planting device 203, and taking this into consideration along with the machine ID and the ability of the worker. By using a large number of past work records stored in the database 101, a detailed and meticulous work schedule can be created.

[0038] Specifically, "field vertex" and the like are assigned to the input terminals of rice planting schedule calculation unit 11, and "soil improvement spraying," "plowing," "ridge painting," ..., and "spraying: disinfection, etc." are assigned to the output terminals of rice planting schedule calculation unit 11 (see Figures 16 to 19). It goes without saying that the rice planting schedule data described above is output by rice planting schedule calculation unit 11, which has previously performed machine learning based on a machine learning model using such work record data stored in database 101 as training data.

[0039] Of course, specific data that can be input includes various data such as weather data, material quantities, types, and work efficiency. For example, the total number of people and the total number of machines are included in the data of worker entities and the data of machine entities, respectively.

[0040] The field data is data of a plurality of predetermined field entities or aggregated field data (field evaluation value) obtained by performing a predetermined field data calculation on the data of a plurality of predetermined field entities by the field data calculation unit 51.

[0041] The machine data is data of a plurality of predetermined machine entities or machine aggregate data (machine evaluation value) obtained by performing a predetermined machine data operation on the data of a plurality of predetermined machine entities by the machine data operation unit 52.

[0042] The worker data is data of multiple specified worker entities or worker aggregated data (worker evaluation value) obtained by performing a specified worker data calculation on the data of multiple specified worker entities by the worker data calculation unit 53.

[0043] The rice planting schedule calculation unit 11 receives as input each of the data for the field entities or the field aggregated data, each of the data for the machine entities or the machine aggregated data, and each of the data for the worker entities or the worker aggregated data.

[0044] That is, not only can you input aggregate data into all three, but you can also input a large amount of data for each entity into all three, and you can also input various combinations of the three (see Figure 2).

[0045] The data of the field entity includes at least data relating to the shape of the field, data on the depth of the field, data on the trouble history of the field, data on the size of the field, data on the distance to other fields, and data on the distance to the seedling greenhouse.

[0046] The data of the machine entity includes at least the horsepower data of the machine, the size data of the machine, the total usage time data in the past, the trouble history data, and the data on the presence or absence of advanced functions.

[0047] The data of the worker entity includes at least physique data, physical strength data, and experience value data.

[0048] Of course, other data such as the number of simultaneous parallel operations can be used as field entity data, Sanae Z-turn and DX rotor can be used as machine entity data, and whether or not an assistant is present can be used as worker entity data.

[0049] The field shape related data includes the number of vertices of the field, the degree of change in the length of the back-and-forth process, the number of turns, and the height of the outer ridges; the field depth data includes the tillage depth, the cultivated soil depth, the standard deviation of the cultivated soil depth, and the clay content; the field trouble history data includes the number of error histories and the length of the stoppage time; and the field size data includes the field area, whether or not the straight-line assist function is present, and the length of the back-and-forth process.

[0050] In other words, by using a linear equation based on the addition and subtraction of these numerical data obtained by data point processing as needed, aggregated data can also be generated as numerical data (see Figures 12(a), 12(b), and 13(a) to 13(d)).

[0051] The field data calculation is a calculation in which the more vertices in a field, the larger the field aggregated data becomes. In other words, the more complex the field shape, the higher the difficulty of rice planting. For example, the more vertices in a field, the higher the difficulty of rice planting.

[0052] The field data calculation is a calculation in which the greater the change in the length of the round-trip process, the larger the field aggregate data. In other words, the greater the change in the length of the round-trip process within the field, the higher the difficulty of rice planting. For example, the difficulty of rice planting decreases in the following order: (a) a quadrilateral, such as a rectangle, where two pairs of opposite sides are parallel; (b) a trapezoid, where one pair of opposite sides is parallel; (c) a quadrilateral, where two pairs of opposite sides are not parallel, giving rise to the so-called irregular rice field shape; and (d) a triangle.

[0053] The field data calculation is a calculation in which the greater the number of turns on the planting route, the greater the field aggregated data becomes. In other words, the greater the number of turns on the planting route within the field, the higher the degree of difficulty of rice planting.

[0054] The field data calculation is a calculation in which the higher the outer ridges are, the larger the field aggregated data becomes. In other words, the higher the height of the outer ridges of the field, the higher the difficulty of rice planting.

[0055] The field data calculation is a calculation in which the deeper the tillage depth in the field, the larger the field aggregated data becomes. In other words, the greater the tillage depth within the field, the higher the difficulty of rice planting. The tillage depth within the field can be obtained, for example, by using tractor data.

[0056] The field data calculation is a calculation in which the deeper the cultivated soil depth, the larger the field aggregated data. In other words, the greater the cultivated soil depth within the field, the higher the difficulty of rice planting. Cultivated soil depth data detected by the ultrasonic sensor of the rice transplanter 200 from the previous year is used. Map data may be used instead of such cultivated soil depth data.

[0057] The field data calculation is a calculation in which the larger the standard deviation of plowed soil depth, the larger the field aggregated data. In other words, the larger the standard deviation of plowed soil depth within a field, the more likely tractor tracks and other imperfections remain, making rice planting more difficult. Plowed soil depth data detected by the ultrasonic sensor of the rice transplanter 200 from the previous year is used. Map data can also be used.

[0058] The field data calculation is a calculation in which the higher the clay content, the larger the field aggregate data. In other words, the higher the clay content inside the field, the more difficult it is to plant rice. This is because steering often becomes heavy when turning due to the differential lock operation. Clay content can be obtained by reading soil map data, etc.

[0059] The field data calculation is a calculation in which the greater the number of error histories, the larger the field aggregated data becomes. In other words, the more error histories there are within the field, the greater the difficulty of rice planting. The error history can be checked, for example, on a monitor.

[0060] The field data calculation is a calculation in which the longer the stop time, the larger the field aggregated data becomes, and the larger the field area, the larger the field aggregated data becomes. In other words, the longer the temporary stop time inside the field due to turning, etc., the higher the difficulty of rice planting.

[0061] When the straight-line assist function is installed, the larger the field area, the smaller the field aggregated data. In other words, the larger the field area, the higher the difficulty of rice planting. However, in rice transplanters 200 with the straight-line assist function or robotic navigation function, the larger the field area, the lower the difficulty of rice planting. This is achieved by performing subtractions according to the implementation of the straight-line assist function or robotic navigation function, so that the difficulty of rice planting is lower even if the field area is large.

[0062] When the straight-line assist function is installed, the longer the length of the round-trip process, the smaller the field aggregated data becomes. In other words, the longer the round-trip process, the higher the difficulty of rice planting. However, in rice transplanters 200 with the straight-line assist function or robotic travel function, the longer the round-trip process, the lower the difficulty of rice planting. This is achieved by performing subtractions according to the implementation of the straight-line assist function or robotic travel function, so that the difficulty of rice planting becomes lower even if the round-trip process length is long.

[0063] The field data calculation is a calculation in which the greater the distance to other fields, the larger the field aggregated data becomes. In other words, the greater the distance to other fields, the higher the degree of difficulty of rice planting.

[0064] The field data calculation is a calculation in which the greater the distance from the seedling greenhouse, the greater the field aggregated data becomes. In other words, the longer the distance to the seedling greenhouse, the higher the difficulty of rice planting.

[0065] The more concurrent tasks there are, the higher the difficulty of rice planting becomes as an input item in the work schedule planning tool. By inputting detailed settings for rice planting work, a detailed and meticulous work schedule can be created. The number of concurrent tasks can be counted by (a) whether or not fertilization is performed, (b) whether or not chemicals are sprayed, (c) whether or not box-spraying agents are applied before planting mat seedlings, or (d) whether or not manual work such as camellia oil pellets is performed.

[0066] The machine data calculation is a calculation in which the greater the horsepower of the machine, the greater the machine aggregate data. In other words, the greater the horsepower, the greater the machine evaluation value.

[0067] The machine data calculation is a calculation in which the larger the number of rows of a machine, the larger the machine aggregate data. In other words, the larger the number of planting rows, the larger the machine evaluation value.

[0068] The machine data calculation is a calculation in which the shorter the total past usage time, the larger the machine aggregate data becomes. In other words, the shorter the total usage time, which indicates how new the machine is, the larger the machine evaluation value becomes.

[0069] The machine data calculation is a calculation in which the fewer the trouble history, the larger the machine aggregate data becomes. In other words, the fewer the trouble history, the larger the machine evaluation value becomes.

[0070] The machine data calculation is a calculation in which the more advanced functions a machine has, the larger the machine-aggregated data becomes. In other words, the more advanced functions a machine has, the larger the machine evaluation value becomes.

[0071] The more functions a machine has, the higher its evaluation value as an input item in the work schedule planning tool. Among these functions, it is also possible to count (a) the presence or absence of a so-called Sanae Z-turn, which is an automatic turning function that automatically raises and lowers the link and engages the planting clutch, (b) the presence or absence of a so-called DX rotor, and (c) the presence or absence of an on-the-spot planting function, also known as pita planting, which, when the sub-transmission lever is pushed into the on-the-spot planting position, performs a single planting by rotating the PTO on the spot and automatically shifts from the sub-transmission to the planting speed.

[0072] Furthermore, the greater the number of seedling-transfer assisting functions, the greater the machine evaluation value as an input item in the work schedule planning tool. The number of seedling-transfer assisting functions can be counted by (a) the presence or absence of so-called Z seedling rails, (b) the presence or absence of empty box collection rails, (c) the presence or absence of empty box collection racks, and (d) the presence or absence of an edge-shifting function, also known as "pita-yose," which automatically stops PTO rotation when the seedling-mounting platform, also known as the seedling tank, is moved to the left edge so that seedling removal can begin from the edge.

[0073] The worker data calculation is a calculation in which the larger the worker's physique, the larger the worker's aggregated data. In other words, the larger the worker's physique, the larger the worker's evaluation value. The same applies below, but consideration should be given to work compliance.

[0074] The worker data calculation is a calculation in which the worker aggregate data increases as the physical strength is more durable. In other words, the higher the physical strength durability, the larger the worker evaluation value.

[0075] The worker data calculation is a calculation in which the greater the rice planting experience value, the greater the worker aggregated data. In other words, the greater the rice planting experience value, the greater the worker evaluation value. The greater the rice planting experience value, for example, the longer the total time spent on rice planting in the past, the greater the worker evaluation value.

[0076] The worker evaluation value, which is an input item in the work schedule planning tool, is classified into two evaluation values: a machine operator evaluation value and a seedling transplant supporter evaluation value.

[0077] (2) Next, the configuration and operation of the rice planting schedule information management device 1 according to the embodiment of the present invention will be described in more detail, mainly with reference to FIGS.

[0078] 21 and 22 are block diagrams (parts 4 and 5) of the rice planting schedule information management device 1 according to the embodiment of the present invention.

[0079] As will be described later, if there is dissatisfaction with the output schedule, the schedule can be corrected and a machine or worker can be used to output it accordingly, and even if there is dissatisfaction, the machine can be changed without changing the worker, or the worker can be changed without changing the machine.

[0080] The machine calculation unit 12 has a generation AI function that inputs at least field data related to the field, rice planting schedule data related to the rice planting schedule, and worker data, and outputs machine data.

[0081] An evaluation value is set for the machine that indicates its ability relative to the difficulty of rice planting, and the higher the difficulty of rice planting, the higher the evaluation value of the machine is assigned.

[0082] The worker calculation unit 13 has a generation AI function of inputting at least field data related to the field, rice planting schedule data related to the rice planting schedule, and machine data, and outputting worker data.

[0083] An evaluation value is set for each worker that indicates their ability relative to the difficulty of rice planting, and the higher the difficulty of rice planting, the higher the evaluation value assigned to the worker.

[0084] When instructed to correct the rice planting schedule data regarding the rice planting schedule output from the rice planting schedule calculation unit 11, the rice planting schedule correction unit 21 can correct the output of the rice planting schedule calculation unit 11 in accordance with the instruction.

[0085] The machine calculation unit 12 inputs the corrected rice planting schedule data obtained from the rice planting schedule correction unit 21 along with the field data and worker data input to the rice planting schedule calculation unit 11, and outputs machine data.

[0086] That is, if the user is dissatisfied with the output schedule, the user can correct the schedule and have the machine output the correct schedule (see Figure 21).

[0087] When instructed to correct the machine data output from the machine calculation unit 12, the machine correction unit 22 can correct the output of the machine calculation unit 12 in accordance with the instruction.

[0088] The worker calculation unit 13 inputs the corrected machine data obtained from the machine correction unit 22 together with the field data and corrected rice planting schedule data input to the machine calculation unit 12, and outputs worker data.

[0089] That is, as mentioned above, even if there is dissatisfaction, not only can the machine be changed without changing the operator, but further dissatisfaction can also be addressed (see Figure 21).

[0090] The worker calculation unit 13 inputs the corrected rice planting schedule data obtained from the rice planting schedule correction unit 21 along with the field data and machine data input to the rice planting schedule calculation unit 11, and outputs worker data.

[0091] That is, if the user is dissatisfied with the output schedule, the schedule can be corrected and a suitable worker can be output (see FIG. 22).

[0092] When instructed to correct the worker data output from the worker calculation unit 13, the worker correction unit 23 can correct the output of the worker calculation unit 13 in accordance with the instruction.

[0093] The machine calculation unit 12 inputs the corrected worker data obtained from the worker correction unit 23 together with the field data and corrected rice planting schedule data input to the worker calculation unit 13, and outputs machine data.

[0094] That is, as mentioned above, even if there is dissatisfaction, not only can the operator be changed without changing the machine, but further dissatisfaction can also be addressed (see Figure 22).

[0095] (3) Next, the configuration and operation of the rice planting schedule information management device 1 according to the embodiment of the present invention will be described in more detail, mainly with reference to FIG.

[0096] The actual work efficiency [tan / hour] of past rice planting is extracted from rice planting data. Work efficiency is calculated from work time and planting area and used to plan sowing schedules.

[0097] As described below, the sowing schedule is calculated as a post-processing step after the processing by the generation AI.

[0098] The higher the evaluation value of the machine and the evaluation value of the worker, the larger the work efficiency is corrected to take on.

[0099] The most efficient allocation of workers and machinery is determined by the user entering the total rice planting area, the total number of workers, and the total number of rice transplanters. Then, the seedling planting period, including the number of days required for rice planting, is calculated.

[0100] The seedling planting period determination instruction unit 40 determines whether the seedling planting period obtained from the rice planting schedule data regarding the rice planting schedule output from the rice planting schedule calculation unit 11 exceeds a predetermined number of days (for example, 10 days), and if it does exceed the predetermined number of days, instructs the start of sowing to be divided into multiple periods each of a certain amount.

[0101] If the calculated number of days for the rice planting period is longer than a predetermined number of days (for example, 10 days or more), a sowing schedule plan is created so that sowing will be carried out multiple times.

[0102] The predetermined number of days is the number of days during which the height of the growing seedlings falls within a predetermined range.

[0103] The sowing date and number of seedlings to be sown are determined from the calculated number of days in the rice planting period and the planned number of seedlings to be introduced so that the optimum seedling height can be obtained on the intermediate day within the rice planting period.

[0104] When the seedling planting period determination instruction unit 40 determines that the seedling planting period will exceed a predetermined number of days, it divides the seedling planting period into a plurality of sub-seedling planting periods each having a length not exceeding the predetermined number of days, and instructs the sowing time of the seedlings to be planted in each of the plurality of sub-seedling planting periods so that the height of the seedlings falls within a predetermined range for the first time on the first day of each of the plurality of sub-seedling planting periods.

[0105] For example, a 20-day seedling planting period is divided into a 10-day first sub-planting period, which is the predetermined number of days mentioned above, and the remaining second sub-planting period. The predetermined range is the range of seedling heights that are acceptable for planting; for example, if the seedling height falls within the predetermined range on the first day of the first sub-planting period, it will be approximately the optimal length by the middle day of the first sub-planting period and will leave the predetermined range on the last day of the first sub-planting period. Therefore, the sowing time for seedlings in the first sub-planting period is indicated by calculating backwards so that an acceptable seedling height is ensured in the first sub-planting period. Therefore, by indicating the sowing times for seedlings to be planted in the first sub-planting period and the second sub-planting period in this manner, an acceptable seedling height is ensured throughout the entire 20-day planting period.

[0106] The calculated rice planting period may be extended due to factors such as weather and the condition of irrigation channels, so reserve rice planting days are added for each location and user.

[0107] Then, by inputting the rice variety, the sowing date can be changed to the optimal date.

[0108] In addition, the program of the invention related to the present invention is a program that causes a computer to execute all or some of the steps (or processes, operations and actions, etc.) of the rice planting schedule information management device operation control method of the invention related to the present invention described above, and is a program that operates in cooperation with a computer.

[0109] In addition, the recording medium of the invention related to the present invention is a recording medium that records a program for causing a computer to execute all or some of the operations of all or some of the steps (or processes, operations and actions, etc.) of the rice planting schedule information management device operation control method of the invention related to the present invention described above, and is a computer-readable recording medium in which the read program is used in cooperation with a computer.

[0110] It should be noted that the above-mentioned "some steps (or processes, operations, actions, etc.)" means one or some steps among the plurality of steps.

[0111] Furthermore, the above-mentioned "operations of steps (or processes, operations, actions, etc.)" means the operations of all or part of the above-mentioned steps.

[0112] Furthermore, one mode of use of the inventive program related to the present invention may be in the form of being transmitted through a transmission medium such as the Internet, light, radio waves, or sound waves, being read by a computer, and operating in cooperation with the computer.

[0113] The recording medium also includes a ROM (Read Only Memory).

[0114] Furthermore, a computer is not limited to pure hardware such as a CPU (Central Processing Unit), but may also include firmware, an OS (Operating System), and even peripheral devices.

[0115] As described above, the configuration of the present invention may be realized in software or hardware. [Industrial Applicability]

[0116] The rice planting schedule information management device of the present invention can improve usability and is useful for use as a rice planting schedule information management device for managing rice planting schedule information. [Explanation of symbols]

[0117] 1. Rice planting schedule information management device 11 Rice planting schedule calculation department 12 Mechanical Calculation Department 13 Worker calculation section 21 Rice Planting Schedule Correction Department 22 Mechanical Correction Department 23 Worker Corrections Department 40 Seedling planting period determination instruction unit 51 Field data calculation unit 52 Mechanical data calculation unit 53 Worker data calculation unit 101 Database 200 Rice planter 201 Running gear 202 Controls 203 Planting equipment

Claims

1. A rice planting schedule calculation unit having a generating AI function that inputs at least field data, machine data, and worker data related to the field and outputs rice planting schedule data related to the rice planting schedule; a machine calculation unit having a generation AI function that inputs at least field data related to the field, rice planting schedule data related to the rice planting schedule, and worker data, and outputs machine data; A rice planting schedule information management device characterized by having at least field data related to the field, rice planting schedule data related to the rice planting schedule, and machine data, and a worker calculation unit with a generation AI function that outputs worker data.

2. a rice planting schedule correction unit that, when instructed to correct the rice planting schedule data relating to the rice planting schedule output from the rice planting schedule calculation unit, corrects the output of the rice planting schedule calculation unit in accordance with the instruction; The rice planting schedule information management device of claim 1, wherein the machine calculation unit inputs the corrected rice planting schedule data obtained from the rice planting schedule correction unit along with the field data and worker data input to the rice planting schedule calculation unit, and outputs machine data.

3. a machine correction unit that, when instructed to correct the machine data output from the machine calculation unit, corrects the output of the machine calculation unit in accordance with the instruction, 3. The rice planting schedule information management device according to claim 2, wherein the worker calculation unit inputs the corrected machine data obtained from the machine correction unit together with the field data and the corrected rice planting schedule data input to the machine calculation unit, and outputs worker data.

4. a rice planting schedule correction unit that, when instructed to correct the rice planting schedule data relating to the rice planting schedule output from the rice planting schedule calculation unit, corrects the output of the rice planting schedule calculation unit in accordance with the instruction; The rice planting schedule information management device of claim 1, wherein the worker calculation unit inputs the corrected rice planting schedule data obtained from the rice planting schedule correction unit along with the field data and machine data input to the rice planting schedule calculation unit, and outputs worker data.

5. a worker correction unit that, when instructed to correct the worker data output from the worker calculation unit, corrects the output of the worker calculation unit in accordance with the instruction, The rice planting schedule information management device according to claim 4, wherein the machine calculation unit inputs the corrected worker data obtained from the worker correction unit together with the field data and the corrected rice planting schedule data input to the worker calculation unit, and outputs machine data.

6. 2. The rice planting schedule information management device according to claim 1, further comprising a seedling planting period determination instruction unit that determines whether the seedling planting period obtained from the rice planting schedule data relating to the rice planting schedule output from the rice planting schedule calculation unit exceeds a predetermined number of days, and if it does exceed the predetermined number of days, instructs the start of sowing to be divided into multiple periods of a certain amount each.

7. The predetermined number of days is the number of days during which the height of the growing seedlings is within a predetermined range, 7. The rice planting schedule information management device according to claim 6, wherein, when it is determined that the seedling planting period will exceed the predetermined number of days, the seedling planting period determination instruction unit divides the seedling planting period into a plurality of sub-seedling planting periods, each having a length not exceeding the predetermined number of days, and instructs the sowing time of the seedlings to be planted in each of the plurality of sub-seedling planting periods so that the height of the seedlings falls within the predetermined range for the first time on the first day of each of the plurality of sub-seedling planting periods.

8. the field data is data of a plurality of predetermined field entities or aggregated field data obtained by performing a predetermined field data calculation on the data of the plurality of predetermined field entities by a field data calculation unit; the machine data is data of a plurality of predetermined machine entities or machine aggregate data obtained by performing a predetermined machine data operation on the data of the plurality of predetermined machine entities by a machine data operation unit, the worker data is data of a plurality of predetermined worker entities or worker aggregate data obtained by performing a predetermined worker data calculation on the data of the plurality of predetermined worker entities by a worker data calculation unit, A rice planting schedule information management device as described in any one of claims 1 to 7, wherein the rice planting schedule calculation unit receives input of each of the field entity data or the field aggregated data, each of the machine entity data or the machine aggregated data, and each of the worker entity data or the worker aggregated data.

9. the data of the field entity includes at least data relating to the shape of the field, data on the depth of the field, data on the trouble history of the field, data on the size of the field, data on the distance to other fields, and data on the distance to a seedling greenhouse; The data of the machine entity includes at least horsepower data of the machine, size data of the machine, total usage time data in the past, trouble history data, and data on the presence or absence of advanced functions; 9. The rice planting schedule information management device according to claim 8, wherein the data of the worker entity is at least physique data, physical strength data, and experience value data.

10. The rice planting schedule information management device of claim 9, wherein the field shape related data is the number of vertices of the field, the change in the length of the back-and-forth process, the number of turns, and the height of the outer ridges, the field depth data is the tillage depth, the plowed soil depth, the standard deviation of the plowed soil depth, and the clay content, the field trouble history data is the number of error histories and the length of the stoppage time, and the field size data is the field area, whether or not a straight-line assist function is present, and the length of the back-and-forth process.

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