Field Management System

Abstract

To provide a farm field management system which allows a user to easily grasp the mid-drying condition of a farm field.SOLUTION: A farm field management system is provided, comprising a water supply device 11 for opening and closing a water hydrant for feeding water to a farm field H, an acquisition unit 16a for acquiring water management information including information on the degree of opening of the water hydrant, and an estimation unit 16b configured to estimate the mid-drying condition of the farm field H based on the water management information and time information on time associated with the water management information, where the estimation unit 16b estimates whether the water level of the farm field H is zero or not in the mid-drying condition estimation.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a technology for a farm field management system for managing water in a farm field. [Background technology]

[0002] Conventionally, techniques for farm field management systems for managing water in farm fields have been publicly known, as described in Patent Document 1, for example.

[0003] The irrigation water management system described in Patent Document 1 is for supplying water stored in a farm pond to a farm field. The irrigation water management system includes a pump that draws up water from the farm pond and sends it to the farm field, and a water supply valve that opens and closes a path through which water from the pump flows into each farm field. By using such an irrigation water management system, the water level in the farm field can be appropriately managed. For example, when a farm field needs to be drained, the water supply to the field can be stopped to dry the field.

[0004] While mid-season drainage of paddy fields is generally carried out to ensure the proper growth of paddy rice, in recent years it has also been expected to have the effect of suppressing methane produced by methanogens in the field. Therefore, there is a need for technology that can easily grasp the mid-season drainage status in order to manage the duration of mid-season drainage and utilize it for rice growth and methane suppression. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent Publication No. 2021-94029 Summary of the Invention [Problem to be solved by the invention]

[0006] One aspect of the present disclosure has been made in consideration of the above-described situation, and the problem it aims to solve is to provide a farm field management system that can easily grasp the mid-drainage condition. [Means for solving the problem]

[0007] The problem to be solved by one embodiment of the present disclosure has been described above, and next, the means for solving this problem will be described.

[0008] In one aspect of the present disclosure, a water supply device that opens and closes a water faucet that supplies water to a farm field, an acquisition unit that acquires water management information including information about the opening degree of the water faucet, and a water supply device that acquires water management information and time information related to the water management information, and a water supply device that acquires water management information and information related to the opening degree of the water faucet. The mid-season period is the period An estimation unit for estimating The time information includes information on a water supply stop time when the water supply valve is closed and water supply to the field is stopped, and information on a water supply restart time when the water supply valve is opened and water supply to the field is restarted, and the estimation unit estimates the time when a preset transition period has elapsed since the water supply stop time as the start of the dry season period, and estimates the water supply restart time after the transition period has elapsed since the water supply stop time as the end of the dry season period. It is something. According to one aspect of the present disclosure, the mid-dry state can be easily grasped.

[0009] In one aspect of the present disclosure, the estimation unit estimates whether the water level in the field is zero in estimating the dry state. According to one aspect of the present disclosure, it is possible to grasp the period during which the water level in a field is zero based on the water management information and time information.

[0010] In one aspect of the present disclosure, the estimation unit estimates the mid-drainage state of the field during a set period set for performing mid-drainage. According to one aspect of the present disclosure, it is possible to determine the period during which a dry-up state actually occurred during a set period based on the estimated dry-up state.

[0011] In one aspect of the present disclosure, the farm further comprises a drainage device that opens and closes a drain valve that drains water from the field, and the water management information further includes information regarding the opening degree of the drain valve. According to one aspect of the present disclosure, the drainage condition of a field can be estimated with high accuracy by estimating the drainage condition of the field by taking into account not only the water supply to the field but also the drainage from the field.

[0012] In one aspect of the present disclosure, the water management information further includes information regarding the reduced water depth of the field. According to one aspect of the present disclosure, the drying-up state of a field can be estimated with high accuracy by taking into account the water supply to the field as well as the water depth of the field.

[0013] In one aspect of the present disclosure, the water management information further includes water level information regarding the water level in the field. According to one aspect of the present disclosure, the drying-up state of a field can be estimated with high accuracy by taking into account water level information in addition to water supply to the field.

[0014] In one aspect of the present disclosure, the water level information includes at least one of a measurement result of a water level sensor installed in the field and meteorological information. According to one aspect of the present disclosure, the dry state can be accurately estimated by taking into account at least one of the measurement results of the water level sensor and weather information.

[0015] In one aspect of the present disclosure, the farm system further includes an information processing device that stores image data of the farm field and identification information that identifies the farm field in association with each other. According to one aspect of the present disclosure, by associating image data with identification information, it is possible to manage image data for each field.

[0016] In one aspect of the present disclosure, the system further includes a calculation unit that calculates at least one of the amount of methane emitted from the field or the amount of methane reduction in the field relative to a predetermined standard value based on the estimated result of the drainage condition of the field. According to one aspect of the present disclosure, at least one of the methane emission amount and the methane reduction amount can be obtained by processing by the calculation unit, thereby improving convenience.

[0017] In one aspect of the present disclosure, the calculation unit converts a calculation result of at least one of the methane emission amount and the methane reduction amount into an amount of carbon dioxide. According to one aspect of the present disclosure, the amount of carbon dioxide can be obtained by processing by the calculation unit, thereby improving convenience.

[0018] In one aspect of the present disclosure, the device further includes a creating unit that creates a report on the calculation result of the calculation unit. According to one aspect of the present disclosure, it is possible to improve convenience. For example, the creation unit can create a report to report the amount of methane reduction to a competent authority or the like, thereby improving convenience. [Effects of the Invention]

[0019] According to one aspect of the present disclosure, the mid-dry state can be easily grasped. [Brief explanation of the drawings]

[0020] [Figure 1] FIG. 1 is an explanatory diagram showing the configuration of a farm land management system. [Figure 2] FIG. 1 is a block diagram showing a farm field management system. [Figure 3] 10 is a flowchart showing a process for estimating a dry-up state. [Figure 4] An explanatory diagram showing the start and duration of mid-drying. [Figure 5] 10 is a flowchart showing a report creation process for creating a report on a mid-drying state. [Figure 6] FIG. 10 is a diagram showing an example of a report created in the report creation process. [Figure 7] 10 is a flowchart showing a data storage process for storing image data. DETAILED DESCRIPTION OF THE INVENTION

[0021] A farm land management system 10 according to one embodiment of the present invention will be described below.

[0022] 1 is for managing water in a field H (in this embodiment, multiple fields H). The field management system 10 includes a water supply device 11, a water level and water temperature sensor 12, a drainage device 13, a communication repeater 14, an operator terminal 15, a field management server 16, an image management server 17, and a data center 18.

[0023] The water supply device 11 is used to manage the water supply to the field H. A water supply device 11 is provided in each field H. The water supply device 11 is equipped with communication equipment for communicating with the communication repeater 14 described below, and a water supply valve (not shown) provided in the water channel connecting the water supply pipe K to the field H. By opening and closing the water supply valve, the water supply device 11 can switch between a state in which water can be supplied to the field H and a state in which water cannot be supplied. The water supply device 11 can also adjust the amount of water supplied to the field H depending on the opening degree of the water supply valve. In addition, the water supply device 11 may have an imaging device such as a camera. The water supply device 11 can store image data captured by the imaging device in association with information that identifies the water supply device 11.

[0024] The water level and temperature sensor 12 is used to measure the water level (hereinafter referred to as the "surface water level") and water temperature on the surface H1 of the field H. The water level and temperature sensor 12 is provided in each field H. The water level and temperature sensor 12 is connected to the water supply device 11 and can transmit the measurement results of the surface water level and water temperature to the water supply device 11.

[0025] The drainage device 13 is used to manage drainage of the field H. The drainage device 13 is provided in each field H. The drainage device 13 includes a communication device for communicating with the communication repeater 14 and a drain plug (not shown) provided at the drain outlet of the field H. The drainage device 13 is configured to be able to adjust the height of the drain plug partition in response to a signal received via the communication device. For example, the drainage device 13 can discharge water from the field H into the drainage channel C by lowering the partition to a position lower than the surface water level. The drainage device 13 can also stop drainage from the field H by raising the partition to a height above the surface water level. In this way, water can be stored in the field H up to a water level equal to the height position of the partition (the height position of the upper surface). The drainage device 13 can also control drainage of the field H (opening and closing of the drain plug and the amount of water discharged) by adjusting the height of the partition. Hereinafter, the height position of the partition body (the water level that can be stored in the field H) will be referred to as the "drainage gate height."

[0026] The farm land management system 10 does not necessarily have to be equipped with a remotely operable drainage device 13. For example, the farm land management system 10 may be equipped with a non-remotely operable drainage device instead of the drainage device 13. The height of the drainage gate of the drainage device can be adjusted (manually) by operating an operating tool, for example.

[0027] The communication repeater 14 is a device capable of wireless communication. The communication repeater 14 can exchange information with the water supply device 11, the drainage device 13, and a farm land management server 16 (described later) via wireless communication.

[0028] The worker terminal 15 is a terminal owned by the worker. The worker terminal 15 includes a calculation device capable of executing calculation processing, a storage device in which programs and the like are stored, an input device into which information can be input, and an output device that can display the results of calculation processing and the like. The worker terminal 15 is configured as a device that the worker can carry, such as a smartphone or tablet terminal.

[0029] The worker terminal 15 can detect its own location information (latitude and longitude) by receiving signals from GPS satellites and mobile phone base stations. The worker terminal 15 also has a built-in camera. The worker terminal 15 can store image data captured by the camera in association with its own location information. This makes it possible to know where the image data was captured.

[0030] The farm management server 16 is used to perform processes related to the water supply and drainage of the farm H. The farm management server 16 is configured as a cloud server (strictly speaking, a server virtually constructed within the cloud server). The farm management server 16 can exchange information with the water supply device 11 or the drainage device 13 via the communication repeater 14. The farm management server 16 can acquire various information by receiving signals from the water supply device 11 or the drainage device 13. For example, the farm management server 16 can acquire the opening degree of the water supply faucet and the measurement results of the water level and water temperature sensor 12 based on the signal from the water supply device 11. The farm management server 16 can also acquire the current height of the drainage gate based on the signal from the drainage device 13.

[0031] The farm land management server 16 can also control the water supply and drainage of the field H by sending signals to the water supply apparatus 11 or the drainage apparatus 13. For example, the farm land management server 16 can open and close the water faucet by sending signals to the water supply apparatus 11, switch between a state in which water can be supplied to the field H and a state in which water cannot be supplied, and adjust the opening degree of the water faucet. The farm land management server 16 can also adjust the height of the drainage gate by sending signals to the drainage apparatus 13. Note that the farm land management server 16 only needs to send and receive signals with at least one of the water supply apparatus 11 or the drainage apparatus 13, and can also send and receive signals with, for example, both the water supply apparatus 11 and the drainage apparatus 13. By controlling the water supply and drainage in this way, the farm land management server 16 can adjust the surface water level so that it becomes a water level (set water level) appropriate for the crop growth stage. An example of the process of adjusting the surface water level will be described below.

[0032] The field management server 16 opens the water faucet to raise the surface water level of the field H to the set water level. The field management server 16 then closes the water faucet to stop the water supply to the field H. Because the water in the field H seeps into the soil and dries out, the surface water level of the field H gradually drops when the water supply is stopped. When the surface water level drops below the set water level by a predetermined threshold or more, the field management server 16 resumes the water supply to the field H to return the water level of the field H to the set water level. By repeating this water supply and water supply stoppage, the field management server 16 adjusts the surface water level to a water level appropriate for the crop growth stage. Note that the above-described method of adjusting (controlling) the surface water level is just one example, and the surface water level can be adjusted by any method according to various parameters. Furthermore, if field H does not have a drain plug that can be remotely operated, the fixed drain gate height can be used as the reference, and if a drain plug is present, the water level can be adjusted as described above using the adjusted drain gate height as the reference.

[0033] The farm land management server 16 can exchange information with the worker terminal 15 via an internet line or the like. For example, the farm land management server 16 can notify the worker terminal 15 of predetermined information (such as the surface water level) by sending a signal to the worker terminal 15 in response to a request from the worker terminal 15. Furthermore, for example, the farm land management server 16 can open and close a water tap in response to the operation of the worker terminal 15 by sending a signal to the water supply device 11 in response to a request from the worker terminal 15.

[0034] The image management server 17 processes image data captured by the worker terminal 15. The image management server 17 is configured, for example, by a cloud server. The image management server 17 can exchange information between the worker terminal 15 and the data center 18 via an internet line or the like.

[0035] The data center 18 is a facility for storing various information related to the field H and the farm land management system 10. The data center 18 is provided with a storage device (for example, a large-capacity storage device) for storing information, and the storage device stores the measurement results of the water level and temperature sensor 12, the history of changes to the drainage gate height, and the like. The data center 18 can store information transmitted from the farm land management server 16 and the image management server 17 in the storage device. Furthermore, the data center 18 can transmit the information stored in the storage device to the farm land management server 16 and the image management server 17 upon request from the farm land management server 16 and the image management server 17.

[0036] When paddy rice is grown in the field H, mid-season drainage is carried out for the purpose of suppressing excessive growth of the paddy rice, etc. When mid-season drainage is carried out in the field management system 10, the water supply device 11 stops supplying water to the field H, and the field H is dried.

[0037] In this embodiment, the period during which water supply is stopped for mid-season drying can be set by operating the operator terminal 15. Hereinafter, this period will be referred to as the "set period." The operator can set the set period by, for example, inputting into the operator terminal 15 the date and time when water supply is stopped and the date and time when water supply is resumed.

[0038] Because water supply to field H is stopped during the set period, the surface water level of field H drops over time. When field H dries out due to the drop in the surface water level (it becomes semi-dried), it inhibits tillering of rice plants and prevents excessive growth of the rice. In addition, the semi-dried state inhibits the activity of methanogens, which are anaerobic bacteria, and it is possible to reduce the amount of methane emitted from field H.

[0039] The recommended drying period for paddy rice growth is preset according to the region, variety, etc. For example, an appropriate drying period is set for each field H, such as "about 8 days." Here, because methane is a greenhouse gas, extending the drying period beyond the usual period (the above recommended period (about 8 days)) can reduce greenhouse gas emissions. Workers can also participate in a greenhouse gas emission reduction project (for example, J Credit) and prove that they extended the drying period, and receive compensation according to the project's provisions. To prove that the drying period was extended, evidence is required that shows that the drying period was longer than usual.

[0040] The farm land management system 10 of this embodiment is configured to be able to estimate the drainage condition of the farm land H. Therefore, an operator can prove the extension of the drainage by using the estimated drainage condition as evidence. Below, the configuration related to the estimation of the drainage condition will be described with reference to Figure 2.

[0041] The farm land management server 16 includes an acquisition unit 16a and an estimation unit 16b. The acquisition unit 16a is for acquiring various information (such as water faucet opening information 18a described later) necessary for estimating the dry-up state from the data center 18. The estimation unit 16b is for performing calculation processing to estimate the dry-up state.

[0042] The image management server 17 includes an acquisition unit 17a, a calculation unit 17b, and a creation unit 17c. The acquisition unit 17a acquires various information (such as field information 18d, which will be described later) required for processing by the calculation unit 17b and the creation unit 17c from the operator terminal 15 or the data center 18. The calculation unit 17b calculates the amount of methane reduction suppressed by extending the interim drainage. The creation unit 17c creates a report R (see FIG. 6) on the interim drainage condition. The acquisition unit 17a only needs to acquire information from at least one of the operator terminal 15 and the data center 18. For example, it is also possible for the acquisition unit 17a to acquire information from both the operator terminal 15 and the data center 18. The image management server 17 may be integrated with the field management server 16, or may be configured as a separate server.

[0043] The data center 18 stores water supply valve opening information 18a, drain valve opening information 18b, water level information 18c, farm field information 18d, image information 18e, and estimation result information 18f.

[0044] Water hydrant opening degree information 18a is a history of the opening degree of the water hydrant. The opening degree of the water hydrant is expressed, for example, as a percentage, with a closed state of the water hydrant being 0% and a fully open state being 100%. Water hydrant opening degree information 18a is managed for each water hydrant provided in each field H. Water hydrant opening degree information 18a is information in which, for example, field identification information that identifies the field H, water hydrant identification information that identifies the water hydrant, the opening degree of the water hydrant, the date and time when the opening degree of the water hydrant was changed, etc. are associated with one another. Water hydrant opening degree information 18a is created each time the opening degree of the water hydrant is changed and stored in data center 18.

[0045] Drain valve opening information 18b is a history of the opening degree of the drain valve. In this embodiment, the opening degree of the drain valve is indicated by the drain gate height. Drain valve opening information is managed for each drain valve installed in each field H. Drain valve opening information 18b is information in which, for example, field identification information, drain valve identification information that identifies the drain valve, the opening degree of the drain valve, the date and time when the opening degree of the drain valve was changed, etc. are associated with one another. Drain valve opening information 18b is created each time the drain gate height is changed and stored in data center 18. Note that if a drainage device that manually adjusts the drain gate height is installed in field H instead of remotely operable drainage device 13, the manually adjusted drain gate height can be input via operator terminal 15 or the like, and the opening degree of the drain valve can be stored in drain valve opening information 18b in data center 18.

[0046] The water level information 18c is a history of the surface water level of the field H. The water level information 18c is managed for each field H. In this embodiment, the water level information 18c is information in which, for example, field identification information, sensor identification information for identifying the water level and water temperature sensor 12, the measurement results of the surface water level by the water level and water temperature sensor 12, the date and time when the surface water level was measured, etc. are associated with one another. The water level information 18c is created each time the water level and water temperature sensor 12 measures the surface water level, and is stored in the data center 18.

[0047] The field information 18d is information specific to each field. The field information 18d is information in which, for example, field identification information, location information of the field H, the area of ​​the field H, the reduction-based methane generation rate, and the oxidation-based methane generation rate are associated with one another. The reduction-based methane generation rate is the methane generation rate per unit area and unit time in the field H when the field H is flooded with water and in a reducing state with little oxygen. The oxidation-based methane generation rate is the methane generation rate per unit area and unit time in the field H when the field H is dry and in an oxidizing state with much oxygen. The reduction-based methane generation rate and the oxidation-based methane generation rate can be set based on, for example, information about the field H (such as the properties and state of the soil, the region, etc.) or experiments. The field information 18d is stored in advance in the data center 18.

[0048] The image information 18e is information relating to image data of the field H captured by the camera of the worker terminal 15. The image information 18e is managed for each field H. The image information 18e is information in which, for example, field identification information, location information of the field H, image data, the date and time the image data was captured, and the like are associated with one another. The image information 18e is stored in the data center 18 by processing of the image management server 17.

[0049] The estimation result information 18f is information that allows the estimation result of the drainage condition to be determined. The estimation result information 18f is managed for each field H. The estimation result information 18f is information in which, for example, field identification information, the estimation result of the drainage condition, etc. are associated with each other.

[0050] The farm land management server 16 is configured to be able to notify of abnormalities based on information stored in the data center 18. Specifically, the farm land management server 16 estimates the surface water level of the field H based on the water supply valve opening information 18a and the drain valve opening information 18b. If the estimated result differs from the measurement result (measured surface water level) of the water level and temperature sensor 12 by a predetermined threshold or more, the farm land management server 16 detects an abnormality in the surface water level and notifies the operator terminal 15, etc. This makes it possible to quickly respond to abnormalities in the farm land management system 10 (for example, misalignment or malfunction of the water level and temperature sensor 12).

[0051] 3 and 4, the following describes the dry-up state estimation process for estimating the dry-up state of field H. The dry-up state estimation process is executed by the field management server 16, for example, during a set period (a period during which water supply is stopped). As shown in FIG. 3, when the dry-up state estimation process is executed, the field management server 16 proceeds to step S10.

[0052] In step S10, the acquisition unit 16a of the farm land management server 16 acquires information necessary for estimating the mid-drain state from the data center 18. In this embodiment, the acquisition unit 16a acquires the history of the water faucet opening (opening and time of opening change) for the set period from the water faucet opening information 18a of the data center 18. When the processing of step S10 is completed, the farm land management server 16 proceeds to step S20.

[0053] In step S20, the estimation unit 16b of the farm field management server 16 estimates the mid-drainage state of the field H based on the history of the water faucet opening degrees acquired in step S10. In this case, the estimation unit 16b estimates the mid-drainage state for a set period. Since it is considered that the effect of mid-drainage can be obtained when the surface water level of the field H reaches zero, the estimation unit 16b of this embodiment estimates in step S20 whether the surface water level of the field H is zero. An example of the processing in step S20 will be described below with reference to FIG. 4.

[0054] As described above, water supply to the field H is stopped during the set period, and as time passes, the surface water level of the field H drops. Therefore, the estimation unit 16b first identifies the time during the set period when water supply to the field H was stopped (when the water supply valve opening degree became 0%), based on the history of the water supply valve opening degree acquired in step S10. In this embodiment, since the water supply valve is closed by processing by the field management server 16 when the set period begins, the time when water supply was stopped coincides with the start of the set period.

[0055] When the water supply stop time is identified, the estimation unit 16b determines that the surface water level of the field H has reached zero when a preset transition period has elapsed since the water supply stop time, and sets that time as the start time of mid-drainage. The estimation unit 16b also estimates that the surface water level of the field H will be zero from the start time of mid-drainage onwards. The transition period indicates the period from when water supply to the field H is stopped until the field H transitions to a mid-drainage state, and is set, for example, based on the set water level immediately before mid-drainage (at the tillering stage), etc.

[0056] When the set period ends, the farm land management server 16 automatically resumes water supply to the field H. Therefore, the estimation unit 16b estimates that the period from the start of the mid-drainage period until water supply is resumed is the mid-drainage period. Note that because the water taps can be opened and closed in response to the operation of the operator terminal 15, it is possible that water supply to the field H will be resumed by the operation (manual) of the operator terminal 15 during the set period. In this case, the estimation unit 16b determines that the period from the start of the mid-drainage period until water supply to the field H is manually resumed is the mid-drainage period. As shown in FIG. 3, when the processing of step S20 ends, the farm land management server 16 proceeds to step S30.

[0057] In step S30, the estimation unit 16b transmits the estimation result of the mid-drainage state (mid-drainage period) in step S20 to the operator terminal 15. As a result, the estimation result of the mid-drainage state is notified to the operator terminal 15. When the processing of step S30 ends, the farm land management server 16 ends the mid-drainage state estimation processing.

[0058] The above-described processing from step S10 to step S30 can be executed in real time during a set period. For example, the above-described processing can be executed at predetermined time intervals (every few hours, etc.). This allows, for example, an operator to check the current state of the field H at a desired timing using the operator terminal 15. The above-described processing from step S10 to step S30 can also be executed all at once. For example, after the set period has ended, the dry-up state (dry-up period) for the ended set period can be estimated using the history of various information (such as the opening degree of the water faucet). The estimated result of the dry-up state is associated with the identification information of the field H and stored in the estimation result information 18f of the data center 18 at an appropriate timing, for example, during step S30.

[0059] In this embodiment, by performing the mid-drainage condition estimation process, the worker can easily grasp the mid-drainage condition without having to visit the field H multiple times during the set period. This reduces the burden on the worker.

[0060] Furthermore, if the mid-drying period is extended, the estimated mid-drying period will be longer than the usual period (about 8 days). This extended mid-drying period will also be reflected in the estimated mid-drying period, so the estimated results can be used to prove the extension of the mid-drying period.

[0061] In addition, since the opening degree of the water faucet is relatively unlikely to fluctuate due to external factors (earthquakes, etc.), the mid-drain state can be estimated accurately by estimating the mid-drain state based on the opening degree of the water faucet.

[0062] In step S20, the estimation unit 16b can estimate the dry-up state using other information in addition to the opening degree of the water faucet. For example, the estimation unit 16b can estimate the dry-up state using at least one of the drain gate height, the reduced water depth, meteorological information, and the surface water level in addition to the opening degree of the water faucet. This will be explained in detail below.

[0063] First, an example of estimating the mid-drainage state using the drainage gate height will be described. When the drainage gate height is lowered to a position lower than the surface water level, the water in field H is drained. By draining field H in this way during the set period, the surface water level of field H can be lowered at a rapid rate, which allows field H to dry out quickly (earlier start of mid-drainage).

[0064] Therefore, the estimation unit 16b corrects the transition period (see FIG. 4) used to identify the start time of mid-drainage in step S20 based on the drainage gate height history (drainage plug opening information 18b). For example, the estimation unit 16b shortens the transition period depending on the amount of lowering of the drainage gate height. This allows the estimation unit 16b to accurately estimate the start time of mid-drainage depending on the drainage status of the field H.

[0065] Next, an example of estimating the mid-drainage state using the water reduction depth will be described. The water reduction depth is an index that indicates how much the water level decreases per unit time. The water reduction depth differs for each field H, and is therefore stored in advance, for example, in the field information 18d of the data center 18. When the water reduction depth is large, the surface water level of the field H will drop at a rapid rate when water supply is stopped, and the field H will dry out quickly. On the other hand, when the water reduction depth is small, the surface water level of the field H will drop at a slow rate even when water supply is stopped, and the field H will not dry out quickly, and the start of the mid-drainage will be relatively late.

[0066] In step S20, the estimation unit 16b does not use a period (transition period) common to each field H, but estimates the start time of mid-drainage based on the reduced water depth of each field H. This makes it possible to accurately estimate the start time of mid-drainage based on the reduced water depth.

[0067] Here, the water reduction depth changes depending on the dryness of the soil of the field H. For example, when the soil of the field H is relatively dry, the water stored in the field H will infiltrate at a relatively fast speed, resulting in a large water reduction depth. As described above, when the water reduction depth is large, the field H will dry out quickly, and the start time of the mid-drainage will come relatively early. Therefore, the estimation unit 16b can also estimate the start time of the mid-drainage based on the water reduction depth immediately before the set period. An example of this will be described below.

[0068] As described above, the farm land management server 16 adjusts the surface water level of the farm land H by repeatedly supplying and stopping water supply to the farm land H. Therefore, the estimation unit 16b calculates the reduced water depth immediately before the set period based on the history of the drop in the surface water level since the supply of water to the farm land H was stopped immediately before the set period (water level information 18c). By estimating the start time of mid-drainage using the reduced water depth immediately before the set period, the estimation unit 16b can accurately estimate the start time of mid-drainage taking into account the dryness of the soil of the farm land H.

[0069] Next, an example of estimating a dry-up state using weather information will be described. Even if the surface water level of field H reaches zero during a set period, water may temporarily accumulate in field H due to rain or the like. Therefore, the estimation unit 16b extracts a period during which water is likely to have accumulated in field H, based on the amount of precipitation for each time period in the area including field H. The estimation unit 16b estimates that the extracted period is not in a dry-up state. Furthermore, by estimating the dry-up period while excluding the estimated period, the estimation unit 16b can accurately estimate the dry-up period while taking into account the effects of rain or the like.

[0070] Furthermore, because the field H is prone to drying out (the start of the inter-drainage period comes earlier) depending on weather conditions (for example, fine weather, high temperature, low humidity, etc.), the estimation unit 16b can also correct the transition period (see FIG. 4) used to identify the start of the inter-drainage period in step S20, depending on the weather in the area including the field H. This allows the estimation unit 16b to accurately estimate the start of the inter-drainage period depending on the weather.

[0071] Next, an example of estimating a dry-up state using the surface water level will be described. As described above, even if the surface water level of the field H reaches zero during a set period, water may temporarily accumulate in the field H due to factors other than water supply, such as rain. Therefore, the estimation unit 16b extracts a period during which water is thought to have temporarily accumulated in the field H based on the measurement results of the water level and water temperature sensor 12. The estimation unit 16b estimates that the field H is not in a dry-up state for that extracted period. By estimating the dry-up period while excluding that extracted period, the estimation unit 16b can accurately estimate the dry-up period while taking into account the effects of rain, etc. Note that when estimating a dry-up state using the surface water level, it is also possible to extract periods during which water has accumulated in the field H due to factors other than rain, and therefore the dry-up period can be accurately estimated based on those periods.

[0072] The estimation unit 16b can also estimate the inter-drainage state by combining the drainage gate height, reduced water depth, meteorological information, and surface water level described above. For example, the estimation unit 16b identifies the start time of inter-drainage based on the reduced water depth. Then, the estimation unit 16b extracts a period when rain temporarily accumulated in the field H based on the surface water level, and estimates the inter-drainage period by excluding this extracted period. In this way, the estimation unit 16b can estimate the inter-drainage state by combining the reduced water depth and the surface water level.

[0073] 5 and 6, a report creation process for creating a report R regarding the interim drainage state will be described below. The report R in this embodiment is used, for example, to certify that the interim drainage has been extended.

[0074] The report creation process is executed by the image management server 17 as appropriate after the completion of the mid-drain state estimation process. For example, the report creation process is executed when a request to execute the report creation process is made to the image management server 17 from the worker terminal 15. As shown in FIG. 5, when the report creation process is executed, the image management server 17 proceeds to step S110.

[0075] In step S110, the acquisition unit 17a of the image management server 17 acquires the estimation result of the intermittent power consumption state obtained in the intermittent power consumption state estimation process from the estimation result information 18f of the data center 18. When the processing of step S110 ends, the image management server 17 proceeds to step S120.

[0076] In step S120, the acquisition unit 17a of the image management server 17 acquires field-specific information required to create the report R from the field information 18d in the data center 18. In this embodiment, the area of ​​the field H, the reduction standard methane generation rate, and the oxidation standard methane generation rate are acquired. When the processing of step S120 is completed, the image management server 17 proceeds to step S130.

[0077] In step S130, the calculation unit 17b of the image management server 17 calculates the amount of methane reduction in the field H for the set period based on the results obtained in steps S110 and S120. As described above, extending the interim drainage beyond the usual period (about 8 days) can suppress methane emissions. The amount of methane reduction calculated in step S130 is a value that indicates to what extent methane emissions were suppressed compared to usual by extending the interim drainage beyond the usual period. An example of the processing in step S130 for calculating the amount of methane reduction will be described below.

[0078] First, calculation unit 17b acquires the duration of the dry-up state expected in normal dry-up. For example, as described above, this normal dry-up period can be an appropriate dry-up period (e.g., about 8 days) set for each field H. Calculation unit 17b calculates the difference between the normal dry-up period and the dry-up period acquired in step S110, i.e., the period during which the dry-up state has been extended due to the extension of the dry-up period (extended period).

[0079] The calculation unit 17b then calculates the amount of methane generation during the extended period when interim drainage is extended by multiplying the extended period, the amount of reduced methane generation acquired in step S120, and the area of ​​field H. The calculation unit 17b also calculates the amount of methane generation during the extended period when normal interim drainage is performed, using the amount of oxidized methane generation acquired in step S120. The calculation unit 17b calculates the difference between these methane generation amounts to calculate the amount of methane reduction due to the extension of the set period. When the processing of step S130 is completed, the image management server 17 proceeds to step S140.

[0080] In step S140, the calculation unit 17b of the image management server 17 converts the amount of methane reduction calculated in step S130 into the amount of carbon dioxide reduction. In this embodiment, the calculation unit 17b converts the amount of methane reduction into the amount of carbon dioxide reduction based on the global warming potential.

[0081] Global warming potential indicates the strength of the greenhouse effect of other greenhouse gases relative to the strength of the greenhouse effect caused by carbon dioxide. The global warming potential of methane is set to 25. The calculation unit 17b converts the amount of methane reduction calculated in step S130 into the amount of carbon dioxide reduction by multiplying the amount of methane reduction calculated in step S130 by the global warming potential of methane (25). After completing the processing of step S140, the image management server 17 proceeds to step S150.

[0082] In step S150, the creation unit 17c of the image management server 17 creates a report R regarding the mid-drainage state. At this time, the creation unit 17c creates the report R in a format that matches the format of a document to be submitted to a specified institution, for example. For example, in order to receive compensation according to the amount of methane reduction, the creation unit 17c creates the report R by automatically entering various information into the blanks of a document template prepared for a project on reducing greenhouse gas emissions (for example, J-Credit).

[0083] 6, the creation unit 17c creates a report R including the name of the field H, the amount of methane reduction calculated in step S130, the amount of carbon dioxide reduction calculated in step S140, the interim drainage period estimated in the interim drainage state estimation process, etc. The creation unit 17c transmits the created report R to the operator terminal 15. When the process of step S150 ends, the image management server 17 ends the report creation process.

[0084] The report creation process can improve convenience by saving the worker the trouble of creating the report R. Note that the image management server 17 can also send the data of the report R created in the report creation process to a specified institution. This saves the worker the trouble of submitting the report R, further improving convenience.

[0085] Here, it is expected that image data of the surface H1 of the field H and the water tap will be attached to the report R to be submitted to the specified institution to prove that the set period has been extended. However, when photographs are taken with a camera on a smartphone or tablet device, the image data is generally stored in a single folder, so if multiple fields H are photographed with the camera of a single operator terminal 15, management of the image data becomes cumbersome.

[0086] Therefore, in this embodiment, the image data for each field H can be managed in the data center 18 by the data storage process of the image management server 17.

[0087] The data storage process will be described below with reference to Figures 2 and 7. The data storage process is a process for storing image data in a storage device of the data center 18. The data storage process is executed appropriately by the image management server 17, for example, after the field H is photographed by the camera of the operator terminal 15. For example, the data storage process is executed when the operator terminal 15 requests the image management server 17 to execute the data storage process. As shown in Figure 7, when the data storage process is executed, the image management server 17 proceeds to step S210.

[0088] In step S210, the acquisition unit 17a of the image management server 17 acquires image data from the worker terminal 15. The image data is associated with information on the date and time of shooting and the location of shooting (location information of the worker terminal 15 at the time of shooting). When the processing of step S210 ends, the image management server 17 proceeds to step S220.

[0089] In step S220, the acquisition unit 17a of the image management server 17 transmits information associating the image data acquired in step S210 with the field identification information to the data center 18. An example of the process in step S220 will be described below.

[0090] First, the acquisition unit 17a acquires the location information and field identification information of each field H from the field information 18d of the data center 18. Then, the acquisition unit 17a identifies which field H the image data represents, based on the information on the shooting location associated with the image data acquired in step S210 and the acquisition results of the location information of each field H. The acquisition unit 17a then transmits to the data center 18 information that associates the identification information of the identified field H with the image data, shooting time, etc. acquired in step S210. When the processing of step S220 ends, the image management server 17 ends the data storage process.

[0091] By the data storage process, the information transmitted from the image management server 17 is stored as image information 18e in the data center 18 shown in FIG.

[0092] In this way, image data is managed for each field H, thereby improving convenience. For example, it is possible to display on the operator terminal 15 only image data of a portion of the fields H selected by the operator. It is also possible to arrange the image data in order of the date and time of the image. It is also possible to paste the arranged image data into a report R in response to an operation on the operator terminal 15. This makes it easy to create a report R using image data, improving convenience.

[0093] In this embodiment, the server that manages the image data described above (image management server 17) is constructed separately from the server that manages the water supply and drainage of the field H (field management server 16). By separating the servers in this way, even if a failure occurs in one server, the other server continues to operate, so the risk of a failure can be dispersed.

[0094] It should be noted that the water supply device 11 can also incorporate air into the water stored in the water distribution reservoir and supply it to the field H, rather than simply supplying the water directly to the field H. For example, a bubble generator can be installed near the water supply device 11 to supply water containing bubbles with a diameter of 1 μm or more and less than 100 μm (microbubbles), bubbles with a diameter of less than 1 μm (ultrafine bubbles), etc. to the field H. This allows the water in the field H to incorporate a lot of air when the field H is flooded with water. As mentioned above, because methanogens are anaerobic bacteria, incorporating a lot of air into the water in the field H can suppress the activity of methanogens even during periods other than mid-drainage, and can reduce methane emissions from the field H.

[0095] As described above, the farm field management system 10 of this embodiment comprises a water supply device 11 that opens and closes the water tap that supplies water to the farm field H, an acquisition unit 16a that acquires water management information including information regarding the opening degree of the water tap (in this embodiment, the opening degree stored in the water tap opening degree information 18a), and an estimation unit 16b that estimates the mid-drainage state of the farm field H based on the water management information and time information related to the time linked to the water management information (in this embodiment, the time when the opening degree was changed stored in the water tap opening degree information 18a).

[0096] By configuring it in this way, the mid-dry state can be easily grasped.

[0097] Furthermore, the estimation unit 16b estimates whether or not the water level in the field is zero in estimating the dry state.

[0098] By configuring in this way, it is possible to grasp the period when the water level in the field H is zero (mid-drought period).

[0099] The estimation unit 16b estimates the interim drainage state of the field H during a set period set for performing interim drainage (step S20).

[0100] By configuring in this way, it is possible to grasp the period during which the water level actually reached a dry state (dry period) during the set period based on the estimated dry state.

[0101] In addition, the farm field management system 10 further includes a drainage device 13 that opens and closes a drainage valve to drain water from the farm field H, and the water management information further includes information regarding the opening degree of the drainage valve.

[0102] By configuring in this way, the drainage from the field H can be taken into account and the mid-drainage state can be estimated with high accuracy.

[0103] The water management information further includes information regarding the reduced water depth of the field H.

[0104] By configuring in this manner, the drainage condition of the field H can be accurately estimated, taking into account the reduced water depth.

[0105] The water management information further includes water level information regarding the water level in the field H.

[0106] By configuring in this way, it is possible to accurately estimate the dry state by taking into account water level information.

[0107] The water level information includes at least one of the measurement results of a water level / water temperature sensor 12 (water level sensor) provided in the farm field H and meteorological information.

[0108] By configuring in this way, it is possible to accurately estimate the dry state by taking into consideration at least one of the measurement results of the water level and water temperature sensor 12 and meteorological information.

[0109] In addition, the farm field management system 10 further includes an image management server 17 (information processing device) that stores image data of the farm field H and identification information (field identification information) that identifies the farm field H in association with each other.

[0110] By configuring in this way, image data can be managed for each field H.

[0111] In addition, the farm field management system 10 further includes a calculation unit 17b that calculates at least one of the amount of methane emitted from the farm field H or the amount of methane reduction in the farm field H relative to a predetermined standard value (the amount of methane reduction when normal mid-drainage is performed) based on the estimated result of the mid-drainage state of the farm field H.

[0112] With this configuration, at least one of the methane emission amount and the methane reduction amount can be acquired by the processing of the calculation unit 17b, thereby improving convenience.

[0113] The calculation unit 17b converts the calculation result of at least one of the methane emission amount and the methane reduction amount into the amount of carbon dioxide (step S140).

[0114] With this configuration, the amount of carbon dioxide can be obtained by the processing of the calculation unit 17b, thereby improving convenience.

[0115] The farm land management system 10 further includes a creating unit 17c that creates a report R (report) on the calculation results of the calculation unit 17b.

[0116] This configuration can improve convenience. For example, the creation unit 17c can create a report R that reports the amount of methane reduction to a competent authority, etc., thereby improving convenience.

[0117] The water level / water temperature sensor 12 according to this embodiment is one embodiment of the water level sensor according to the present invention. The image management server 17 is an embodiment of an information processing device according to the present invention.

[0118] Although the embodiment of the present invention has been described above, the present invention is not limited to the above configuration, and various modifications are possible within the scope of the invention described in the claims.

[0119] For example, in this embodiment, the period for which the mid-dry state is to be estimated is the set period for mid-drying, but the mid-dry state can be estimated at any time, not just the set period.

[0120] In addition to estimating the dry-up state, the estimation unit 16b can also perform other calculation processes related to dry-up. For example, the estimation unit 16b can calculate the recommended time to end dry-up depending on the dry-up state during a set period.

[0121] Specifically, if the field H dries for a long period of time, the roots of the rice plants may be damaged, resulting in a decrease in yield. On the other hand, if the field H dries for a short period of time, the effect of suppressing greenhouse gas (methane) emissions may be insufficient. Therefore, the estimation unit 16b identifies the start time of the mid-drying during the set period and calculates the recommended end time of the mid-drying as a point in time a predetermined period after the start time of the mid-drying. The predetermined period is appropriately set depending on information about the field H (such as the nature and condition of the soil, the region, etc.) and the type of rice grown in the field H. More specifically, the predetermined period is set to a period during which the extension of the mid-drying is effective in suppressing methane emissions and has little impact on yield reduction. The calculation result of the recommended end time of the mid-drying is notified to the operator terminal 15, allowing the operator to determine the end time of the mid-drying, which will suppress methane emissions by extending the set period, while minimizing the impact on yield.

[0122] Furthermore, the farmland management server 16 may automatically end interim draining based on the results of the calculation of the recommended end time for interim draining, rather than on a set period. This allows interim draining to be automatically ended at an appropriate time.

[0123] In this embodiment, various information such as image data is stored in the storage device of the data center 18, but the device in which the various information is stored is not particularly limited. For example, the various information may be stored in the farm land management server 16, the image management server 17, etc. Furthermore, the various information may be stored in a distributed manner across multiple servers.

[0124] In this embodiment, the server that manages the image data (image management server 17) is constructed separately from the server that manages the water supply and drainage of the field H (field management server 16), but the server configuration in the field management system 10 is not particularly limited. For example, the management of the image data and the management of the water supply and drainage of the field H may be performed by a common server.

[0125] Furthermore, although the calculation unit 17b calculates the amount of methane reduction due to the extension of the set period in step S130, it may also calculate other information that can determine the extent to which methane generation has been suppressed by the extension of the set period. For example, the calculation unit 17b may calculate the amount of methane emitted from the field H during the set period. [Explanation of symbols]

[0126] 10. Field Management System 11 Water supply equipment 16a Acquisition part 16b Estimation part H field

Claims

1. a water supply device that opens and closes a water supply valve that supplies water to the field; an acquisition unit that acquires water management information including information regarding the opening degree of the water tap; an estimation unit that estimates a dry-up period, which is a period during which the field is in a dry-up state, based on the water management information and time information related to time linked to the water management information; Equipped with the time information includes information on a water supply stop time when the water supply valve is closed and water supply to the field is stopped, and information on a water supply restart time when the water supply valve is opened and water supply to the field is restarted, The estimation unit The point in time when a predetermined transition period has elapsed since the water supply stop time is estimated as the start of the mid-drain period, The time when the water supply is resumed after the transition period has elapsed since the water supply suspension time is estimated to be the end of the dry season period. Field management system.

2. The estimation unit 2. The farmland management system according to claim 1, wherein the estimation of the dry state comprises estimating whether or not the water level in the farmland is zero.

3. The estimation unit The farmland management system according to claim 1 , wherein the farmland management system estimates the mid-drainage state of the farmland during a set period set for performing mid-drainage.

4. The farm further includes a drainage device that opens and closes a drainage valve that drains water from the field, The water management information is The farmland management system according to claim 1 , further comprising information relating to the opening degree of the drain plug.

5. The water management information is The farm field management system according to claim 1 , further comprising information regarding the reduced water depth of the farm field.

6. The water management information is The farm field management system according to claim 1 , further comprising water level information relating to a water level in the farm field.

7. The water level information is The farm land management system according to claim 6 , wherein the farm land management system includes at least one of a measurement result of a water level sensor provided in the farm land and weather information.

8. 2. The farm land management system according to claim 1, further comprising an information processing device that stores image data of the farm land and identification information for identifying the farm land in association with each other.

9. The farmland management system according to claim 1, further comprising a calculation unit that calculates at least one of the amount of methane emitted from the farmland or the amount of methane reduction in the farmland relative to a predetermined standard value based on the estimated result of the farmland's dry state.

10. The calculation unit The farmland management system according to claim 9 , wherein a result of calculation of at least one of the amount of methane emission or the amount of methane reduction is converted into an amount of carbon dioxide.

11. The farmland management system according to claim 9 , further comprising a creation unit that creates a report on the calculation results of the calculation unit.

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