Midseason drainage detection method, midseason drainage detection system, and midseason drainage detection program

Abstract

To detect midseason drainage without providing a special sensor in the fields.SOLUTION: A midseason drainage detection method includes determining the state of midseason drainage in one or more fields 500 on the basis of one or more field images 600 showing the state of the one or more fields 500. The midseason drainage detection method includes outputting midseason drainage state information representing the determined state of midseason drainage. The one or more field images 600 may show the temperature of the one or more fields 500. In this case, determining the state of midseason drainage may include determining at least one of a start time when midseason drainage is started in the one or more fields 500 and a completion time when the midseason drainage is completed in the one or more fields 500, on the basis of the temperature of the one or more fields 500 shown in the one or more field images 600.SELECTED DRAWING: Figure 6

Description

[Technical field]

[0001] The present invention relates to a method for detecting a drainage pipe, a system for detecting a drainage pipe, and a program for detecting a drainage pipe. [Background technology]

[0002] In recent years, efforts have been made to reduce greenhouse gas emissions such as methane and carbon dioxide. In these activities, for the parts of greenhouse gases that are difficult to reduce, greenhouse gas emission reductions and absorptions are being achieved in other locations. In addition, greenhouse gas emission reductions are also being achieved by purchasing carbon credits, which represent the amount of greenhouse gas emission reductions and absorptions achieved in other locations.

[0003] It is also being considered to create carbon credits in agricultural fields. For example, extending the period of mid-drying in agricultural fields, such as rice paddies, can reduce greenhouse gas emissions in the field, such as methane. For this reason, applications have begun to be made for the creation of carbon credits by extending the period of mid-drying. Mid-drying involves draining water from a field during the rice cultivation period to dry the rice field surface. For this reason, it is being considered to measure the water level in the field in order to detect the implementation of mid-drying.

[0004] Patent Document 1 discloses a system that measures the water level by capturing an image of a water level measuring indicator installed in a field. This system also corrects the water level taking into account fluctuations in the water level at each point in the field due to wind. Furthermore, this system controls water supply and drainage in the field based on the measured water level. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2022-164404 A Summary of the Invention [Problem to be solved by the invention]

[0006] In this way, a water level measurement device for checking whether mid-field drainage is being carried out requires that a water level measurement indicator be placed in the field and that a device capable of capturing an image of the water level measurement indicator be prepared in the field.

[0007] In view of the above circumstances, one of the objects of the present disclosure is to detect mid-drying without installing a special sensor in the field. Other objects can be understood from the following description and the description of the embodiment. [Means for solving the problem]

[0008] The means for solving the problems will be described below using the numbers and symbols used in the description of the embodiment of the invention. These numbers and symbols are added in parentheses for reference purposes to show an example of the correspondence between the description of the claims and the description of the embodiment of the invention. Therefore, the description in parentheses should not be interpreted as limiting the scope of the claims.

[0009] To achieve the above object, a method for detecting a dry field according to one embodiment includes determining a dry field condition of one or more fields (500) based on one or more field images (600) representing a condition of the one or more fields (500). The method also includes outputting dry field condition information representing the determined dry field condition.

[0010] To achieve the above object, a drainage detection system (1000) according to one embodiment includes a drainage determination unit (150) and an output unit (180). The drainage determination unit (150) determines the drainage state of one or more fields (500) based on one or more field images (600) representing the state of the one or more fields (500). The output unit (180) outputs drainage state information representing the determined drainage state.

[0011] To achieve the above object, a drainage detection program (420) according to one embodiment causes a calculation device (120, 220) to determine a drainage state of one or more fields (500) based on one or more field images (600) representing the state of the one or more fields (500). The drainage detection program (420) also causes the calculation device (120, 220) to output drainage state information representing the determined drainage state. Effect of the Invention

[0012] According to the above embodiment, mid-field drainage can be detected without installing a special sensor in the field. [Brief description of the drawings]

[0013] [Figure 1] 1 is a schematic diagram of a mid-stack detection system according to one embodiment; [Diagram 2] FIG. 2 is a diagram for explaining a farm field image according to an embodiment. [Diagram 3] FIG. 2 is a diagram showing the configuration of a dry-air detection device according to one embodiment. [Figure 4] FIG. 2 is a diagram showing functional blocks executed by the inter-channel detection system in one embodiment. [Diagram 5] FIG. 2 is a diagram for explaining a configuration of a terminal according to an embodiment. [Figure 6] 1 is a flowchart showing a process performed by a stray detection system according to one embodiment. [Figure 7] 3 is a diagram illustrating an image of a field observed prior to the image of the field shown in FIG. 2 in one embodiment. [Figure 8] FIG. 2 is a diagram for explaining a farm field image according to an embodiment. [Figure 9A] 1 is a flowchart showing a process performed by a stray detection system according to one embodiment. [Figure 9B] 1 is a flowchart showing a process performed by a stray detection system according to one embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0014] (Embodiment 1) A dam detection system 1000 according to this embodiment of the present invention will be described with reference to the drawings. In this embodiment, as shown in Fig. 1, the dam detection system 1000 includes a dam detection device 100 and a terminal 200. The dam detection device 100 is connected to an aerial image distribution device 40, a weather information distribution device 60, and the terminal 200 via a network 20, for example, the Internet.

[0015] The aerial image distribution device 40 distributes field image information showing one or more field images representing the state of one or more fields 500 to the inter-irrigation detection device 100. The one or more field images represent, for example, images obtained by observing an area including the field 500 from an artificial satellite 50. For example, as shown in FIG. 2, a field image 600 represents the temperature of one or more fields 500.

[0016] The dry-land detection device 100 shown in Fig. 1 determines the dry-land condition, such as the start and end of dry-landing, based on the farm field image 600. The dry-land detection device 100 outputs dry-land condition information indicating the determined dry-land condition, such as the dry-land period indicating the period during which dry-landing has continued, to the terminal 200.

[0017] The terminal 200 displays the dry-water condition information and provides the dry-water period and the like to the user. For example, the terminal 200 displays the dry-water condition information in a format corresponding to the application form for carbon credit creation. The user can easily apply to create carbon credits based on the displayed dry-water condition information. In addition, the dry-water condition information stored in the dry-water detection device 100 can be used as evidence information for the creation of carbon credits.

[0018] Furthermore, the weather information distribution device 60 outputs weather information, such as information indicating temperature, in the area including the field 500 to the inter-drying detection device 100. While inter-drying is being carried out, the inter-drying detection device 100 outputs warning information against continuing the inter-drying to the terminal 200 based on the inter-drying elapsed period indicating the period that has elapsed since the inter-drying began and the weather information during the inter-drying elapsed period. The terminal 200 displays the warning information to notify the user that inter-drying may have an adverse effect on crops. This allows the user to easily prevent the occurrence of adverse effects on crops caused by continuing inter-drying.

[0019] (Configuration of the mid-drain detection system) The configuration of the mid-line detection device 100 will be described. As shown in FIG. 3, the mid-line detection device 100 includes an input / output device 110, a calculation device 120, a communication device 130, and a storage device 140. The mid-line detection device 100 is, for example, a computer including a cloud server. Information for the calculation device 120 to execute processing is input to the input / output device 110. The input / output device 110 also outputs the results of the processing executed by the calculation device 120. The input / output device 110 includes various input devices and output devices, such as a keyboard, a mouse, a microphone, a display, a speaker, and a touch panel. The input / output device 110 may be omitted.

[0020] The communication device 130 is connected to the network 20 and communicates with each device via the network 20. For example, the communication device 130 transfers farm field information acquired from the aerial image distribution device 40 to the calculation device 120. Also, the communication device 130 transfers a signal generated by the calculation device 120 to the terminal 200. Also, the communication device 130 may acquire information from other devices that are not connected via the network 20. For example, the communication device 130 may acquire information from other devices via any storage medium, such as a memory card or a Universal Serial Bus (USB) memory. Also, the communication device 130 may acquire information from other devices that are directly connected via a USB or the like. The communication device 130 includes various interfaces, such as a Network Interface Card (NIC) and a USB.

[0021] The storage device 140 stores various data for determining the inter-drainage condition in the field 500, such as the field data 410, and the inter-drainage detection program 420. The storage device 140 is used as a non-transitory tangible storage medium for storing the inter-drainage detection program 420. The inter-drainage detection program 420 may be provided as a computer program product recorded in a computer-readable storage medium 1, or may be provided as a computer program product downloadable from a server.

[0022] The farm field data 410 stores information about one or more farm fields 500. For example, the farm field data 410 stores information representing the area and position of one or more farm fields 500. The farm field data 410 may store information representing the area of ​​one or more farm fields 500. The farm field data 410 may also store irrigation state information determined by the irrigation detection device 100 in association with the corresponding farm field 500.

[0023] The arithmetic device 120 reads out and executes the inter-drought detection program 420 from the storage device 140, and performs various data processing to determine inter-drought state information in the farm field 500. For example, the arithmetic device 120 includes a central processing unit (CPU) and the like.

[0024] The calculation device 120 reads and executes the drying-up detection program 420, and thereby realizes the drying-up determination unit 150, the drying-up warning unit 160, the drying-up period determination unit 170, and the output unit 180 in cooperation with the storage device 140, as shown in FIG. 4. The drying-up determination unit 150 determines the drying-up state of the field 500 based on the field image 600. The drying-up warning unit 160 detects, while drying-up is being performed, the possibility that continuing the drying-up may have an adverse effect on the crops being grown. The drying-up period determination unit 170 determines the drying-up period that indicates the period of the drying-up performed in the field 500. The output unit 180 outputs drying-up state information that indicates the drying-up state and warning information that indicates a warning against continuing the drying-up.

[0025] Next, the configuration of the terminal 200 shown in Fig. 1 will be described. As shown in Fig. 5, the terminal 200 includes an input / output device 210, a calculation device 220, a communication device 230, and a storage device 240. The terminal 200 includes, for example, a computer, a tablet, a mobile phone, and the like. Information for the calculation device 220 to execute processing is input to the input / output device 210. In addition, the input / output device 210 outputs the result of the calculation device 220 executing the processing. The input / output device 210 includes various input devices and output devices, and includes, for example, a keyboard, a mouse, a microphone, a display, a speaker, a touch panel, and the like.

[0026] The communication device 230 is connected to the network 20 and communicates with each device via the network 20. For example, the communication device 230 transfers a signal acquired from the intermediate line detection device 100 to the calculation device 220. Also, the communication device 230 transfers a signal generated by the calculation device 220 to the intermediate line detection device 100. Also, the communication device 230 may acquire information from other devices that are not connected via the network 20. For example, the communication device 230 may acquire information from other devices via any storage medium, such as a memory card or a USB (Universal Serial Bus) memory. Also, the communication device 230 may acquire information from other devices directly connected via a USB or the like. The communication device 230 includes various interfaces, such as a transceiver used for wireless communication such as a wireless LAN (Local Area Network) or a cellular network, a NIC (Network Interface Card), and a USB.

[0027] The storage device 240 stores various data for displaying the inter-rail status information acquired from the inter-rail detection device 100, such as a display program 430. The storage device 240 is used as a non-transitory tangible storage medium for storing the display program 430. The display program 430 may be provided as a computer program product recorded in a computer-readable storage medium 2, or may be provided as a computer program product downloadable from a server.

[0028] The arithmetic unit 220 reads out and executes the display program 430 from the storage device 240, and performs various data processing for displaying the interruption status information. For example, the arithmetic unit 220 includes a central processing unit (CPU) and the like.

[0029] The arithmetic device 220 reads and executes the display program 430, thereby implementing the display unit 250 in cooperation with the storage device 240 and the input / output device 210, as shown in Fig. 4. The display unit 250 displays the inter-level status information acquired from the inter-level detection device 100.

[0030] (Operation of the mid-drain detection system) The operation of the inter-arrival detection system 1000 will now be described. The calculation device 120 of the inter-arrival detection device 100 executes the inter-arrival detection program 420 at a predetermined time, for example, at midnight every day, to start the process shown in Fig. 6, which is part of the inter-arrival detection method.

[0031] In step S110, the irrigation demarcation unit 150 realized by the calculation device 120 acquires field image information indicating one or more field images 600 representing one or more fields 500 from the aerial image distribution device 40. For example, the irrigation demarcation unit 150 acquires the position of the field 500 from the field data 410, and requests and acquires the field image 600 at the position of the field 500 from the aerial image distribution device 40.

[0032] In step S120, the drainage determining unit 150 determines the drainage condition of one or more fields 500 based on the field image 600. For example, the drainage determining unit 150 determines the drainage condition of the field 500 based on the temperature of the field 500 shown in the field image 600, for example, the temperature of the ground. For example, the drainage determining unit 150 determines at least one of the start time when the drainage started and the end time when the drainage ended based on the difference in temperature of the field 500 shown in multiple field images 600 observed at different times. For example, the drainage determining unit 150 determines at least one of the start time when the drainage started and the end time when the drainage ended based on the difference in temperature of the field 500 shown in two field images 600 observed at adjacent times.

[0033] When mid-season drainage is not being performed, the field 500 is filled with water, and therefore the temperature of the ground surface of the field 500 is relatively low. On the other hand, when mid-season drainage is being performed, the soil of the field 500 is exposed, and therefore the temperature of the ground surface of the field 500 is relatively high.

[0034] For this reason, for example, the inter-drainage determination unit 150 determines that inter-drainage has started in the field 500 when the temperature of the field 500 shown in the field image 600 observed earlier (e.g., the previous day) is lower than the temperature of the field 500 shown in the field image 600 observed later (e.g., most recently) by a first threshold value or more. In this case, the inter-drainage determination unit 150 determines a time (e.g., a date) between the earlier observed time and the later observed time as the start time of the inter-drainage. For example, the inter-drainage determination unit 150 may determine a date including the later observed time as the start time.

[0035] For example, suppose that the second field image 600-2 shown in Fig. 7 was observed before the first field image 600-1 shown in Fig. 2. In this case, the ground surface temperature shown in the first field image 600-1 is higher than the ground surface temperature shown in the second field image 600-2 in the first field 500-1 and the third field 500-3. When the temperature difference between the first field 500-1 and the third field 500-3 is equal to or greater than the first threshold, the inter-drainage determining unit 150 determines that inter-drainage has started in the first field 500-1 and the third field 500-3. In the other fields 500 including the second field 500-2, the difference in ground surface temperature between the second field image 600-2 and the first field image 600-1 is small. Therefore, in the other fields 500 including the second field 500-2, the inter-drainage determining unit 150 determines that the inter-drainage state has not changed.

[0036] Also, for example, the inter-drainage determining unit 150 determines that inter-drainage has ended in the field 500 when the temperature of the field 500 shown in the field image 600 observed earlier (for example, the day before) is higher than the temperature of the field 500 shown in the field image 600 observed later (for example, most recently) by a second threshold value or more. In this case, the inter-drainage determining unit 150 determines the time (for example, a date) between the earlier observed time and the later observed time as the end time of the inter-drainage. For example, the inter-drainage determining unit 150 may determine the date including the later observed time as the end time. The second threshold value may be the same as the first threshold value or may be different.

[0037] The determined start and end times are associated with the corresponding farm field 500 by the inter-irrigation determination unit 150 and stored in the farm field data 410.

[0038] In step S130 shown in Fig. 6, the mid-drying warning unit 160 detects the possibility that continuing mid-drying may have an adverse effect on the crops being grown, and determines whether a mid-drying warning is necessary. For example, the mid-drying warning unit 160 first determines a mid-drying elapsed period that indicates the period that has elapsed since the start of mid-drying in the field 500 where mid-drying is being performed. For example, the mid-drying warning unit 160 extracts from the field data 410 the field 500 where mid-drying is being performed, for example, the field 500 where mid-drying has been started but not yet finished. The mid-drying warning unit 160 determines the period from the start of mid-drying to the present in the extracted field 500 as the mid-drying elapsed period.

[0039] Next, the mid-drying warning unit 160 detects the possibility that continued mid-drying will have an adverse effect on the crops grown in the field 500, based on meteorological information for the mid-drying period in the field 500. For example, the mid-drying warning unit 160 determines whether there is a high possibility that the crops grown in the field 500 will be adversely affected, based on an integrated value of the air temperature during the mid-drying period. When the sum of the air temperatures during the mid-drying period is greater than a third threshold, the mid-drying warning unit 160 determines that there is a high possibility that the crops grown in the field 500 will be adversely affected, and detects the possibility that the crops will be adversely affected. The third threshold is determined in advance according to the crops grown in the field 500.

[0040] If it is determined that there is a high possibility that continued mid-drainage will have an adverse effect on the crops grown in the field 500 (in other words, the possibility of an adverse effect occurring is detected), the process proceeds to step S140 (YES). If it is determined that there is a low possibility that continued mid-drainage will have an adverse effect on the crops grown in the field 500 (in other words, the possibility of an adverse effect occurring is not detected), the process proceeds to step S160 (NO).

[0041] In step S140, the output unit 180 outputs warning information indicating a warning against continuing mid-drying to the terminal 200. For example, the warning information indicates a farm field 500 in which continued mid-drying may have a negative impact on crops. For example, the output unit 180 may send an email as the warning information to the user of the terminal 200. The warning information may include information indicating the start time of mid-drying in the target farm field 500 and the air temperature during the mid-drying period.

[0042] In step S150, the display unit 250 of the terminal 200 displays the warning information acquired from the inter-drying detection device 100 on the input / output device 210. For example, the display unit 250 notifies the user that continued inter-drying in the field 500 indicated in the warning information may have an adverse effect on the crops being grown. For example, the display unit 250 may display the start time of inter-drying in each field 500 and the air temperature during the inter-drying period. Based on the warning information, the user can decide in a timely manner whether to end inter-drying so as to prevent the occurrence of adverse effects on the crops.

[0043] In step S160, the inter-drainage period determination unit 170 of the inter-drainage detection device 100 determines whether there is a field 500 for which inter-drainage has been completed based on the inter-drainage state. If there is a field 500 for which inter-drainage has been completed in the inter-drainage state determined in step S120 (YES), the process proceeds to step S170. If there is no field 500 for which inter-drainage has been completed in the inter-drainage state (NO), the process ends.

[0044] In step S170, the mid-drying period determination unit 170 determines a mid-drying period during which mid-drying was continued in the farm field 500 where mid-drying has been completed. For example, the mid-drying period determination unit 170 determines the period from the start time when mid-drying started to the end time when mid-drying ended as the mid-drying period.

[0045] In step S180, the output unit 180 outputs to the terminal 200 dry-up state information indicating the dry-up state of the field 500. For example, the dry-up state information indicates the field 500 where dry-up has started and ended, and the dry-up period in the field 500. The dry-up state information may also indicate the start time when dry-up has started in the field 500 and the end time when dry-up has ended. Furthermore, the dry-up state information may indicate the position and area of ​​the field 500.

[0046] In step S190, the display unit 250 of the terminal 200 displays the mid-drainage state information acquired from the mid-drainage detection device 100 on the input / output device 210. For example, the display unit 250 displays a list of the fields 500 represented in the mid-drainage state information on the input / output device 210. The displayed list includes, for example, at least a part of information about the mid-drainage performed in the field 500, such as the mid-drainage period, the start time of the mid-drainage, and the end time of the mid-drainage. The displayed list may also include information about the field 500 where mid-drainage was performed, such as its location and area. For example, the display unit 250 may display an image showing the location of the field 500 where mid-drainage was performed on a map. The display unit 250 may also display the mid-drainage state information in a format for applying for the creation of carbon credits.

[0047] In this way, the inter-drainage detection system 1000 can detect inter-drainage without installing special sensors in the field 500. In this way, the inter-drainage detection system 1000 assists users in managing inter-drainage periods. Users can also easily apply for carbon credit creation. Furthermore, by having a third party other than the user operate the inter-drainage detection system 1000, the data stored in the inter-drainage detection system 1000 can be used as evidence of carbon credit creation.

[0048] (Embodiment 2) Also, the field image 600 may be an image, for example a photograph, of the field 500 captured by a user, as shown in Fig. 8. For example, the user captures the field image 600 when drainage begins and ends, and transmits field image information representing the captured field image 600 from the terminal 200 to the drainage detection device 100. Based on the field image 600, the drainage detection device 100 confirms that drainage is being performed and determines the drainage state. Here, the field image 600 captured of the field 500 does not include an indicator material indicating the water level of the field 500, for example, the water depth. For example, the indicator material includes a bar with a surface with black and white stripes.

[0049] Furthermore, the inter-irrigation detection device 100 compares the weather information acquired from the weather information distribution device 60 with the farm field image 600 captured by the user to determine whether the capture time of the farm field image 600 is correct. In this way, the inter-irrigation detection device 100 confirms that the start and end times of inter-irrigation in the farm field 500 are correct. For this reason, the information stored in the inter-irrigation detection device 100 can be used as information proving the determined inter-irrigation period.

[0050] Here, the weather information distribution device 60 outputs, as weather information for the area including the field 500, information indicating the proportion of clouds in the entire sky, for example, information indicating a classification between clear, sunny, and cloudy, to the inter-drought detection device 100. The weather information distribution device 60 may also output, as weather information for the area including the field 500, information indicating the presence or absence of rainfall, for example, information indicating a classification between rain and other conditions, to the inter-drought detection device 100.

[0051] (Configuration of the mid-drain detection system) The configuration of the inter-rail road detection system 1000 is similar to that of embodiment 1, so a detailed explanation will be omitted.

[0052] (Operation of the mid-drain detection system) The operation of the inter-channel drainage detection system 1000 will be described. When the arithmetic unit 120 of the inter-channel drainage detection device 100 receives farm field image information from the terminal 200, it executes the inter-channel drainage detection program 420 and starts the processing shown in Figures 9A and 9B, which is part of the inter-channel drainage detection method.

[0053] In step S110B, the drainage basin determining unit 150 realized by the calculation device 120 acquires from the terminal 200 field image information representing a field image 600 obtained by capturing an image of the field 500. For example, as shown in FIG. 8, the field image 600 includes a soil area 610 obtained by capturing an image of the soil of the field 500. The field image 600 also includes a sky area 620 obtained by capturing an image of the sky in the area of ​​the field 500. The drainage basin determining unit 150 may acquire information representing the start or end of the drainage basin from the terminal 200 together with the field image 600. For example, the user may input the time when the field image 600 was captured as the start or end time of the drainage basin to the input / output device 210 of the terminal 200. The field image information may also include information representing the position where the field image 600 was captured.

[0054] In step S120B, the drainage determining unit 150 determines the drainage state of the field 500, for example, whether drainage is being performed, based on the field image 600. For example, the drainage determining unit 150 determines whether drainage is being performed in the field 500 captured in the field image 600 by any method. For example, the drainage determining unit 150 may have a model, for example, a neural network, trained to output whether drainage is being performed in the captured field 500 from an image of the field 500, for example, the soil area 610. In this case, the drainage determining unit 150 inputs the field image 600 to the trained model, and determines whether drainage is being performed in the captured field 500 based on the output result. In addition, the inter-row drainage determining unit 150 may extract a soil area 610 included in the farm field image 600 and detect cracks in the extracted soil area 610 to determine whether inter-row drainage is being performed.

[0055] In step S121, the interim irrigation area determination unit 150 judges whether the imaging time of the field image 600 represented by the start time or end time input by the user is correct. For example, the interim irrigation area determination unit 150 judges whether the imaging time is correct based on the weather information represented in the field image 600, such as classification information such as fine, sunny, cloudy, and rainy. For example, the interim irrigation area determination unit 150 first acquires weather information in the area of ​​the field 500 at the time the field image 600 was captured, such as information representing the cloud situation, from the weather information distribution device 60. For example, the interim irrigation area determination unit 150 acquires information representing the ratio of clouds to the entire sky in the area of ​​the field 500, such as information representing the classification of fine, sunny, and cloudy. The interim irrigation area determination unit 150 also acquires information representing the presence or absence of rainfall in the area of ​​the field 500, such as information representing the classification of rain and other.

[0056] Next, the irrigation determination unit 150 determines weather information from the field image 600, such as information representing the proportion of clouds in the entire sky, information representing the presence or absence of rainfall, or both. For example, the irrigation determination unit 150 may have a model, such as a neural network, trained to output weather information from an image of a landscape, such as information representing the proportion of clouds in the entire sky, information representing the presence or absence of rainfall, etc. In this case, the irrigation determination unit 150 inputs the field image 600 to the trained model, and determines weather information for the captured field image 600 based on the output result. The irrigation determination unit 150 may also determine weather information by extracting a sky area 620 included in the field image 600 and detecting the proportion of clouds included in the extracted sky area 620.

[0057] Next, the intermediate water level determination unit 150 compares the weather information determined from the field image 600 with the weather information acquired from the weather information distribution device 60. When the weather information determined from the field image 600 matches the weather information acquired from the weather information distribution device 60, the intermediate water level determination unit 150 determines that the field image 600 was captured at the imaging time input by the user. When the weather information determined from the field image 600 does not match the weather information acquired from the weather information distribution device 60, the intermediate water level determination unit 150 determines that the field image 600 was captured at a time different from the imaging time input by the user.

[0058] If it is determined that the farm field image 600 was captured at the imaging time input by the user (YES), the process proceeds to step S130 shown in Fig. 9B. The processes after step S130 are similar to those in the first embodiment, and therefore will not be described. If it is determined that the farm field image 600 was captured at a time different from the imaging time input by the user (NO), the process proceeds to step S122 shown in Fig. 9A.

[0059] In step S122, the output unit 180 outputs to the terminal 200 error information indicating that the input image capturing time differs from the time when the farm field image 600 was captured.

[0060] In step S123, the display unit 250 of the terminal 200 displays the error information acquired from the inter-rail detection device 100 on the input / output device 210. For example, the display unit 250 displays an image prompting the user to confirm the input imaging time. When the user inputs an operation to change the imaging time to the input / output device 210 of the terminal 200, the process is once terminated and then starts from step S110B in FIG. 9A.

[0061] In this way, the inter-drought condition detection system 1000 may determine the inter-drought condition in the field 500 based on a field image 600 obtained by capturing an image of the field 500 as shown in Fig. 8. In addition, by checking the time, for example the date, when the field image 600 was captured based on meteorological information, the information stored in the inter-drought condition detection system 1000 can be used as evidence information for the creation of carbon credits.

[0062] (Modification) The configuration described in the embodiment is an example, and the configuration can be changed without impairing the function. For example, in step S120 shown in FIG. 6, the inter-drainage determining unit 150 of the inter-drainage detecting device 100 may determine whether inter-drainage is being performed in the field 500 shown in the field image 600 based on one field image 600. For example, the inter-drainage determining unit 150 compares the temperature of the field 500 with a threshold value to determine whether inter-drainage is being performed. For example, the inter-drainage determining unit 150 determines the field 500 whose ground surface temperature is equal to or higher than the fourth threshold value as the field 500 in which inter-drainage is being performed. Also, the inter-drainage determining unit 150 determines the field 500 whose ground surface temperature is less than the fifth threshold value as the field 500 in which inter-drainage is not being performed. The drainage determining unit 150 determines at least one of the start and end times of drainage based on the drainage state (whether drainage is in progress or not) of the field 500 shown in multiple field images 600 observed at different times. For example, the drainage determining unit 150 determines at least one of the start and end times of drainage based on the drainage state (whether drainage is in progress or not) of the field 500 shown in two field images 600 observed at adjacent times. The fifth threshold may be the same as or different from the fourth threshold. For example, the fifth threshold may be smaller than the fourth threshold.

[0063] In this case, for example, when the drainage determining unit 150 determines that drainage is not being performed in the farm field image 600 observed earlier (for example, the day before) and determines that drainage is being performed in the farm field image 600 observed later (for example, most recently), it determines the time (for example, date) between the earlier observation time and the later observation time as the start time when drainage began. For example, the drainage determining unit 150 may determine a date including the later observation time as the start time.

[0064] Similarly, when the drainage determining unit 150 determines that drainage is being performed in the farm field image 600 observed earlier (e.g., the day before) and determines that drainage is not being performed in the farm field image 600 observed later (e.g., most recently), it determines the time (e.g., date) between the earlier observation time and the later observation time as the end time when drainage ended. For example, the drainage determining unit 150 may determine a date including the later observation time as the end time.

[0065] For example, in step S180 shown in Fig. 6 or 9B, the output unit 180 of the dry field detection device 100 may output dry field condition information about a farm field 500 where dry fields have been continuously drained for a dry field period equal to or longer than a reference period. For example, the output unit 180 may extract farm fields 500 where the dry field period is equal to or longer than a reference period, and output dry field condition information about the extracted farm fields 500. The output unit 180 may also extract farm fields 500 where the dry field period is shorter than the reference period, and exclude information about the extracted farm fields 500 from the dry field condition information to be output.

[0066] Here, the reference period indicates, for example, an implementation period, for example, the number of implementation days, determined in an application for carbon credit creation. For example, the farm field data 410 stores in advance information indicating dry-drain periods that have occurred in the past in the farm field 500, for example, dry-drain periods that have occurred from two years or more ago to the present. For example, the farm field data 410 stores information indicating dry-drain periods previously determined by the dry-drain period determination unit 170. The output unit 180 determines a statistical value of dry-drain periods for a predetermined period, for example, from two years or more ago to the present, for example, the average number of days per cultivation, and determines a period obtained by adding a predetermined period, for example, seven days, to the determined statistical value as the reference period.

[0067] For example, the farm field image 600 is not limited to an image observed from the artificial satellite 50, and may be an image observed from above the farm field 500. For example, the farm field image 600 may be an image observed from a device flying above the farm field 500, such as an aircraft or a drone.

[0068] For example, in step S190 shown in Fig. 6 or 9B, the display unit 250 of the terminal 200 may output information representing an application for carbon credit creation to a device that accepts applications for carbon credit creation. Since the application for carbon credit creation is made by the display unit 250, the user can easily make an application for carbon credit creation.

[0069] For example, the farmland image 600 as shown in FIG. 8 may be captured before or after the start or end of interim drainage and output to the interim drainage detection device 100. For example, the farmland image 600 is captured on the day before the start or end of interim drainage and on the day the interim drainage is started or ended. In this case, in step S120B shown in FIG. 9A, when the interim drainage determination unit 150 of the interim drainage detection device 100 determines that interim drainage is not being performed in the farmland image 600 captured earlier (e.g., on the previous day) and determines that interim drainage is being performed in the farmland image 600 captured later (e.g., most recently), it determines the time (e.g., date) between the time captured earlier and the time captured later as the start time of the interim drainage. For example, the interim drainage determination unit 150 may determine the date including the time captured later as the start time. This allows the interim drainage detection system 1000 to more accurately determine the start time of the farmland image 600.

[0070] Similarly, when the drainage determining unit 150 determines that drainage is being performed in the field image 600 captured earlier (e.g., the day before) and determines that drainage is not being performed in the field image 600 captured later (e.g., most recently), it determines the time (e.g., date) between the time the image was captured earlier and the time the image was captured later as the end time when the drainage ended. For example, the drainage determining unit 150 may determine a date including the time the image was captured later as the end time. This allows the drainage detection system 1000 to more accurately determine the end time of the field image 600.

[0071] The above-described embodiments and modifications are merely examples, and the configurations described in each embodiment and modification may be arbitrarily modified and / or arbitrarily combined as long as the functions are not impaired. Furthermore, some of the functions described in the embodiments and modifications may be omitted as long as the required functions can be realized. For example, some or all of the processing of the mid-line drywall detection device 100 may be executed by the terminal 200. Also, some or all of the processing of the terminal 200 may be executed by the mid-line drywall detection device 100.

[0072] In addition, the inter-irrigation detection system 1000 may not include the terminal 200, may acquire field image information from an external terminal not included in the inter-irrigation detection system 1000, and may display inter-irrigation condition information on the external terminal.

[0073] The inter-node detection program 420 may include a display program 430 .

[0074] In addition, when the mid-drying detection system 1000 does not provide the user with warning information about continuing mid-drying, the mid-drying warning unit 160 may be omitted. In this case, the processes from step S130 to step S150 shown in FIG. 6 or FIG. 9B may be omitted.

[0075] Furthermore, the dry-land detection system 1000 may determine the dry-land condition using both the farm field image 600 showing the temperature of the farm field 500 from above and the farm field image 600 (photograph) taken of the farm field 500.

[0076] (Additional Note) The inter-rail detection method, inter-rail detection system, and inter-rail detection program described in each embodiment can be described as follows.

[0077] The method for detecting a mid-term of the first aspect includes the steps of: determining a drainage condition of the one or more fields based on one or more field images representative of the condition of the one or more fields; outputting intermediate-drain state information representing the determined intermediate-drain state; Includes.

[0078] A method for detecting a stray tube according to a second aspect is a method for detecting a stray tube according to the first aspect, the one or more field images represent a temperature of the one or more fields; Determining the mid-dry state includes: determining at least one of a start time when mid-drying in the one or more fields is started and an end time when mid-drying in the one or more fields is ended based on the temperature of the one or more fields shown in the one or more field images; Including, The mid-drain state information includes information indicating at least one of the start time and the end time.

[0079] A method for detecting a stray tube according to a third aspect is a method for detecting a stray tube according to the second aspect, Determining at least one of the start time and the end time includes: determining at least one of the start time and the end time based on a difference in temperature of a first field of the one or more fields that is represented in a plurality of the field images observed at different times; Includes.

[0080] A fourth aspect of the present invention relates to a method for detecting a stray tube, the method comprising the steps of: the one or more field images include images of soil in the one or more fields; Determining the mid-dry state includes: determining a drainage state indicating whether the one or more fields are drained based on a soil state in the one or more fields captured in the one or more field images; Includes.

[0081] A method for detecting a stray tube according to a fifth aspect is a method for detecting a stray tube according to any one of the first to fourth aspects, the one or more farm field images include images of the sky in the one or more farm fields; Determining the mid-dry state includes: determining whether the imaging time when the one or more farm field images were captured is correct based on the sky conditions in the one or more farm fields captured in the one or more farm field images and meteorological information in the one or more farm fields at the time when the one or more farm field images were captured; Including, When the imaging time is not correct, outputting error information indicating that the imaging time is different. Further includes:

[0082] A method for detecting a stray tube according to a sixth aspect is a method for detecting a stray tube according to any one of the first to fifth aspects, Detecting a possibility that continuation of the mid-drying will have an adverse effect on crops grown in the one or more fields based on a period of time that has elapsed since the mid-drying began and air temperatures during the period of time of the mid-drying in the one or more fields; outputting warning information indicating a warning against continuing the mid-drying based on the detection of the possibility of the occurrence of the adverse effect; Further includes:

[0083] A method for detecting a stray tube according to a seventh aspect is a method for detecting a stray tube according to any one of the first to sixth aspects, determining a period during which the dryness is maintained based on the dryness state; Further comprising: The mid-dry state information includes information indicating the mid-dry period.

[0084] A method for detecting a stray tube according to an eighth aspect is a method for detecting a stray tube according to any one of the first to seventh aspects, Further comprising determining a second field among the one or more fields, the second field having a mid-drainage period equal to or longer than a reference period; The dry land condition information represents the dry land condition in the second field.

[0085] A method for detecting a stray tube according to a ninth aspect is a method for detecting a stray tube according to any one of the first to eighth aspects, The method further includes outputting information representative of a location and an area of ​​the one or more fields.

[0086] A method for detecting a stray tube according to a tenth aspect is a method for detecting a stray tube according to any one of the first to ninth aspects, The method further includes displaying the intermediate drying status information.

[0087] A mid-drain detection system according to an eleventh aspect of the present invention includes: a drainage determining unit that determines a drainage state of the one or more fields based on one or more field images that represent the state of the one or more fields; An output unit that outputs mid-dry state information indicating the determined mid-dry state; Equipped with.

[0088] A twelfth aspect of the present invention relates to a mid-drain detection program, determining a drainage condition of the one or more fields based on one or more field images representative of the condition of the one or more fields; outputting intermediate dry state information representing the determined intermediate dry state; The calculation device executes the following. [Explanation of symbols]

[0089] 1, 2: Storage medium 20: Network 40: Aerial image distribution device 50:Artificial satellite 60: Weather information distribution device 100: Intermediate line detector 110: Input / Output device 120: Arithmetic device 130: Communication equipment 140: Storage device 150:Nakaboshi decision part 160: Mid-season warning part 170: Mid-drainage period decision section 180: Output section 200: Terminal 210: Input / Output device 220: Arithmetic device 230:Communication equipment 240: Storage device 250:Display section 410: Field data 420: Mid-drain detection program 430: Display program 500: Field 600: Field image 610 :Soil area 620 :Empty area 1000: Mid-drain detection system

Claims

1. determining a drainage condition of the one or more fields based on one or more field images representative of the condition of the one or more fields; outputting intermediate-drain state information representing the determined intermediate-drain state; A method for detecting a dry field comprising:

2. the one or more field images represent a temperature of the one or more fields; Determining the mid-dry state includes: determining at least one of a start time when mid-drainage is started in the one or more fields and an end time when mid-drainage is ended in the one or more fields based on the temperature of the one or more fields shown in the one or more field images; Including, The mid-drain state information includes information indicating at least one of the start time and the end time. The method for detecting a stray pulse as claimed in claim 1.

3. Determining at least one of the start time and the end time includes: determining at least one of the start time and the end time based on a difference in temperature of a first field of the one or more fields that is represented in a plurality of the field images observed at different times; The method for detecting a stray tube according to claim 2, further comprising:

4. The one or more field images include images of soil in the one or more fields, Determining the mid-dry state includes: determining a drainage state indicating whether the one or more fields are drained based on a soil state in the one or more fields captured in the one or more field images; The method for detecting a stray tube according to claim 1, further comprising:

5. the one or more farm field images include images of the sky in the one or more farm fields; Determining the mid-dry state includes: Determining whether the imaging time when the one or more farm field images were captured is correct based on the sky conditions in the one or more farm fields captured in the one or more farm field images and meteorological information in the one or more farm fields at the time when the one or more farm field images were captured. Including, When the imaging time is not correct, outputting error information indicating that the imaging time is different. The method for detecting an interstitial pneumonia according to claim 1 , further comprising:

6. Detecting a possibility that continuation of the mid-drying will have an adverse effect on crops grown in the one or more farm fields based on an elapsed period of mid-drying that has elapsed since the mid-drying began and air temperatures during the elapsed period of mid-drying in the one or more farm fields; outputting warning information indicating a warning against continuing the mid-drying based on the detection of the possibility of the occurrence of the adverse effect; The method for detecting a stray blood vessel according to any one of claims 1 to 5, further comprising:

7. determining a period during which the dryness is maintained based on the dryness state; Further comprising: The mid-dry period information includes information indicating the mid-dry period. The method for detecting a stray tube according to any one of claims 1 to 5.

8. Further comprising determining a second field among the one or more fields, the second field having a mid-drainage period equal to or longer than a reference period; The dry land condition information represents the dry land condition in the second field. The method for detecting a stray tube according to any one of claims 1 to 5.

9. and outputting information representative of a location and an area of ​​the one or more fields. The method for detecting a stray tube according to any one of claims 1 to 5.

10. The method further includes displaying the intermediate drying state information. The method for detecting a stray tube according to any one of claims 1 to 5.

11. a drainage determining unit that determines a drainage state of the one or more fields based on one or more field images that represent the state of the one or more fields; An output unit that outputs mid-dry state information indicating the determined mid-dry state; A mid-drain detection system equipped with

12. determining a drainage condition of the one or more fields based on one or more field images representative of the condition of the one or more fields; outputting intermediate dry state information representing the determined intermediate dry state; A program for detecting a middle ground voltage that causes a calculation device to execute the above.

Images