Dry detection method, dry detection system, and dry detection program

Abstract

The invention provides a drainage detection method, a drainage detection system, and a drainage detection program, which can detect drainage without providing a special sensor in a field. The drainage detection method includes a step of determining a drainage state of at least one field (500) on the basis of at least one field image (600) indicating a state of the at least one field (500). In addition, the drain detection method includes a step of outputting drain state information indicating the determined drain state. The one or more field images (600) may represent the temperature of the one or more fields (500). In this case, the step of determining the draining state may include a step of determining, on the basis of the temperature of the one or more pieces of field (500) indicated in the one or more field images (600), at least one of a start time at which draining is started for the one or more pieces of field (500) and an end time at which draining is ended for the one or more pieces of field (500).

Description

Technical Field

[0001] The invention relates to a drain detection method, a drain detection system and a drain detection program. Background Art

[0002] In recent years, we have been working tirelessly to reduce the emission of greenhouse gases such as methane and carbon dioxide. In this activity, we have also achieved emission reduction and absorption of greenhouse gases in other places where it is difficult to reduce greenhouse gases. In addition, we have achieved the reduction of greenhouse gas emissions by purchasing carbon credits that represent the amount of greenhouse gas emission reduction and absorption achieved in other places.

[0003] The creation of carbon credits is also considered for fields. For example, by extending the period of draining fields, such as paddy fields, the emission of greenhouse gases such as methane in the fields is reduced. Therefore, the application for the creation of carbon credits by extending the period of draining is started. Draining refers to draining the water from the field during the rice cultivation period to make the field surface dry. Therefore, in order to detect the implementation of draining, it is considered to measure the water level of the field.

[0004] Patent document 1 discloses a system that measures water levels by photographing water level measurement markers installed in fields. In addition, the system corrects the water level by taking into account changes in water levels at various locations in the fields caused by wind. Furthermore, the system controls water supply and drainage of the fields based on the measured water levels.

[0005] Prior art literature

[0006] Patent Literature

[0007] Patent Document 1: Japanese Patent Application Publication No. 2022-164404 Summary of the invention

[0008] As described above, the water level measuring device for confirming the implementation of drainage needs to install water level measurement markers on the field and prepare a device capable of photographing the water level measurement markers in the field.

[0009] In view of the above situation, one of the objects of the present disclosure is to detect the draining condition without installing a special sensor in the field. Other objects can be understood from the following description and the description of the embodiment.

[0010] Hereinafter, the means for solving the problem will be described using the numbers / reference numerals used in the embodiments of the invention. The numbers / reference numerals are enclosed in parentheses as a reference to show an example of the correspondence between the claims and the embodiments of the invention. Therefore, the scope of the claims should not be interpreted as being restrictive due to the description in parentheses.

[0011] A drain detection method according to an embodiment for achieving the above-mentioned object comprises the steps of determining the drain status of one or more fields (500) based on one or more field images (600) representing the status of one or more fields (500). In addition, the drain detection method comprises the steps of outputting drain status information representing the determined drain status.

[0012] A drain detection system (1000) according to an embodiment for achieving the above-mentioned object comprises a drain determination unit (150) and an output unit (180). The drain determination unit (150) determines the drain status of one or more fields (500) based on one or more field images (600) indicating the status of one or more fields (500). The output unit (180) outputs drain status information indicating the determined drain status.

[0013] A drain detection program (420) according to an embodiment for achieving the above-mentioned object causes a computing device (120, 220) to execute the following steps: determining the drain status of one or more fields (500) based on one or more field images (600) indicating the status of one or more fields (500). In addition, the drain detection program (420) causes the computing device (120, 220) to execute the following steps: outputting drain status information indicating the determined drain status.

[0014] Effects of the Invention

[0015] According to the above aspect, the drainage status can be detected without installing a special sensor in the field. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a schematic diagram of a drain detection system according to one embodiment.

[0017] Figure 2 This is a diagram for explaining a field image according to an embodiment.

[0018] Figure 3 It is a diagram showing the structure of a drain detection device according to one embodiment.

[0019] Figure 4 is a diagram showing functional modules executed by a drain detection system according to one embodiment.

[0020] Figure 5 This is a diagram for explaining the structure of a terminal according to one embodiment.

[0021] Figure 6 Detailed description is a flowchart showing the processing of a drain detection system according to one embodiment.

[0022] Figure 7 In one embodiment, Figure 2 The field image shown is a picture of a field image observed first.

[0023] Figure 8 This is a diagram for explaining a field image according to an embodiment.

[0024] Fig.9A Detailed description of the invention is a flowchart showing the processing of the drain detection system according to one embodiment.

[0025] Fig. 9B Detailed description is a flowchart showing the processing of a drain detection system according to one embodiment.

[0026] Description of Reference Numerals

[0027] 1, 2…storage medium; 20…network; 40…aerial image transmission and publishing device; 50…artificial satellite; 60…meteorological information transmission and publishing device; 100…drainage detection device; 110…input and output device; 120…calculation device; 130…communication device; 140…storage device; 150…drainage determination unit; 160…drainage warning unit; 170…drainage period determination unit; 180…output unit; 200…terminal; 210…input and output device; 220…calculation device; 230…communication device; 240…storage device; 250…display unit; 410…field data; 420…drainage detection program; 430…display program; 500…field; 600…field image; 610…soil area; 620…sky area; 1000…drainage detection system. DETAILED DESCRIPTION

[0028] (Implementation Method 1)

[0029] The drain detection system 1000 according to the present embodiment of the present invention will be described with reference to the accompanying drawings. Figure 1 As shown, the drain detection system 1000 includes a drain detection device 100 and a terminal 200. The drain 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, such as the Internet.

[0030] The aerial image transmission and distribution device 40 transmits and distributes field image information showing one or more field images showing the state of one or more fields 500 to the drain detection device 100. The one or more field images are, for example, images of a region including the field 500 observed from the artificial satellite 50. For example, Figure 2 As shown, the field image 600 shows the temperature of one or more fields 500 .

[0031] Figure 1 The drain detection device 100 shown determines the drain state, such as the start and end of draining, based on the field image 600. The drain detection device 100 outputs drain state information indicating the determined drain state, such as a drain period indicating a duration of draining, to the terminal 200.

[0032] The terminal 200 displays the drain status information and provides the user with the drain period, etc. For example, the terminal 200 displays the drain status information in a form corresponding to the application form for carbon credit creation. The user can easily apply for creating carbon credits based on the displayed drain status information. In addition, the drain status information stored in the drain detection device 100 can be used as evidence information for the creation of carbon credits.

[0033] In addition, the weather information transmission and distribution device 60 outputs weather information of the region including the field 500, such as information indicating the temperature, to the drain detection device 100. During the draining process, the drain detection device 100 outputs warning information for continued draining to the terminal 200 based on the draining elapsed period indicating the period that has passed since the start of draining and the weather information of the draining elapsed period. The terminal 200 displays the warning information to notify the user that the draining may have an adverse effect on the crops. Therefore, the user can easily suppress the adverse effect on the crops caused by the continued draining.

[0034] (Structure of the drain detection system)

[0035] The structure of the drain detection device 100 is described. Figure 3 As shown, the drain detection device 100 includes an input-output device 110, a computing device 120, a communication device 130, and a storage device 140. The drain detection device 100 is, for example, a computer including a cloud server. Information for the computing device 120 to perform processing is input to the input-output device 110. In addition, the input-output device 110 outputs the result of the processing performed by the computing 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, a touch panel, etc. The input-output device 110 may be omitted.

[0036] 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 transmits the field information obtained from the aerial image transmission and distribution device 40 to the computing device 120. In addition, the signal generated by the computing device 120 is transmitted to the terminal 200. In addition, the communication device 130 can obtain information from other devices that are not connected via the network 20. For example, the communication device 130 can obtain information from other devices via any storage medium, such as a memory card, USB (Universal Serial Bus) memory, etc. In addition, the communication device 130 can obtain information from other devices directly connected using USB or the like. The communication device 130 includes various interfaces such as NIC (Network Interface Card) and USB.

[0037] The storage device 140 stores various data for determining the drain state of the field 500, such as the field data 410 and the drain detection program 420. The storage device 140 is used as a non-transitory tangible storage medium for storing the drain detection program 420. The drain detection program 420 can be provided as a computer program product recorded in a computer-readable storage medium 1, or can be provided as a computer program product that can be downloaded from a server.

[0038] The field data 410 stores information related to one or more fields 500. For example, the field data 410 stores information indicating the area and position of one or more fields 500. The field data 410 may store information indicating the area of ​​one or more fields 500. In addition, the field data 410 may store drainage state information determined in the drainage detection device 100 in association with the corresponding field 500.

[0039] The computing device 120 reads out and executes the drain detection program 420 from the storage device 140, and performs various data processing for determining the drain state information of the field 500. For example, the computing device 120 includes a central processing unit (CPU) and the like.

[0040] The computing device 120 reads out and executes the drain detection program 420, thereby Figure 4As shown, a drain determination unit 150, a drain warning unit 160, a drain period determination unit 170, and an output unit 180 are implemented in cooperation with the storage device 140. The drain determination unit 150 determines the drain state of the field 500 based on the field image 600. The drain warning unit 160 detects the possibility that the cultivated crops will be adversely affected if the draining is continued during the draining. The drain period determination unit 170 determines the drain period indicating the period of the draining performed in the field 500. The output unit 180 outputs the drain state information indicating the drain state and the warning information indicating the warning for the continued draining.

[0041] Next, Figure 1 The structure of the terminal 200 shown in FIG. Figure 5 As shown, the terminal 200 includes an input / output device 210, a computing device 220, a communication device 230, and a storage device 240. The terminal 200 includes, for example, a computer, a tablet terminal, a mobile phone, etc. Information for the computing device 220 to perform processing is input to the input / output device 210. In addition, the input / output device 210 outputs the result of the processing performed by the computing device 220. The input / output device 210 includes various input devices and output devices, such as a keyboard, a mouse, a microphone, a display, a speaker, a touch panel, etc.

[0042] 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 transmits a signal obtained from the drain detection device 100 to the computing device 220. In addition, the communication device 230 transmits a signal generated by the computing device 220 to the drain detection device 100. In addition, the communication device 230 can obtain information from other devices that are not connected via the network 20. For example, the communication device 230 can obtain information from other devices via any storage medium, such as a memory card, a USB (Universal Serial Bus) memory, etc. In addition, the communication device 230 can obtain information from other devices directly connected using a USB or the like. The communication device 230 includes, for example, various interfaces such as a transceiver for wireless communications such as a wireless LAN (Local Area Network) and a cellular mobile network, a NIC (Network Interface Card), and a USB.

[0043] The storage device 240 stores various data for displaying the drain state information obtained from the drain detection device 100, such as the 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 can be provided as a computer program product recorded in a computer-readable storage medium 2, or can be provided as a computer program product that can be downloaded from a server.

[0044] The computing device 220 reads out and executes the display program 430 from the storage device 240, and performs various data processing for displaying the drain status information. For example, the computing device 220 includes a central processing unit (CPU) and the like.

[0045] The computing device 220 reads out and executes the display program 430, thereby Figure 4 As shown, the display unit 250 is implemented in cooperation with the storage device 240 and the input / output device 210. The display unit 250 displays the drain state information acquired from the drain detection device 100.

[0046] (Drain detection system action)

[0047] The operation of the drain detection system 1000 will be described. The computing device 120 of the drain detection device 100 executes the drain detection program 420 at a predetermined time, for example, 0:00 every day, and starts the process as part of the drain detection method. Figure 6 Processing shown.

[0048] In step S110, the drain determination unit 150 implemented by the computing device 120 acquires field image information showing one or more field images 600 representing one or more fields 500 from the aerial image delivery device 40. For example, the drain determination unit 150 acquires the position of the field 500 from the field data 410, and requests the aerial image delivery device 40 to acquire the field image 600 at the position of the field 500.

[0049] In step S120, the drain determination unit 150 determines the drain state of one or more fields 500 based on the field image 600. For example, the drain determination unit 150 determines the drain state of the field 500 based on the temperature of the field 500 shown in the field image 600, such as the ground surface temperature. For example, the drain determination unit 150 determines at least one of the start time of draining and the end time of draining based on the temperature difference of the field 500 shown in the plurality of field images 600 at different observed times. For example, the drain determination unit 150 determines at least one of the start time of draining and the end time of draining based on the temperature difference of the field 500 shown in two field images 600 at adjacent times observed.

[0050] When the drainage is not performed, the field 500 is filled with water, and therefore, the surface temperature of the field 500 is relatively low. On the other hand, when the drainage is performed, the soil of the field 500 is exposed, and therefore, the surface temperature of the field 500 is relatively high.

[0051] Therefore, for example, when the temperature of the field 500 shown in the field image 600 observed earlier (for example, the previous day) is lower than the temperature of the field 500 shown in the field image 600 observed later (for example, most recently) by more than the first threshold value, the drain determination unit 150 determines that draining has started in the field 500. In this case, the drain determination unit 150 determines a time (for example, a date) between the time observed earlier and the time observed later as the start time of draining. For example, the drain determination unit 150 may determine a date including the time observed later as the start time.

[0052] For example, Figure 7 The second field image 600-2 shown is set to Figure 2 The first field image 600-1 shown is an image observed first. In this case, in the first field 500-1 and the third field 500-3, the ground surface temperature represented by the first field image 600-1 is higher than the ground surface temperature represented by the second field image 600-2. When the temperature difference between the first field 500-1 and the third field 500-3 reaches or exceeds the first threshold value, the drain determination unit 150 determines that draining has started in the first field 500-1 and the third field 500-3. In addition, in the other fields 500 including the second field 500-2, the ground surface temperature difference 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 drain determination unit 150 determines that the draining state has not changed.

[0053] In addition, for example, when the temperature of the field 500 represented in the field image 600 observed earlier (for example, the previous day) is higher than the temperature of the field 500 represented in the field image 600 observed later (for example, most recently) by more than the second threshold value, the drain determination unit 150 determines that the draining of the field 500 has been completed. In this case, the drain determination unit 150 determines the time (for example, date) between the time observed earlier and the time observed later as the end time of the draining. For example, the drain determination unit 150 may determine the date including the time observed later as the end time. In addition, the second threshold value may be the same as or different from the first threshold value.

[0054] The start time and the end time determined by the drain determination unit 150 are associated with the corresponding field 500 and stored in the field data 410 .

[0055] exist Figure 6 In step S130 shown, the drain warning unit 160 detects the possibility of adverse effects on the cultivated crops due to continued draining and determines whether a warning of draining is necessary. For example, the drain warning unit 160 first determines a draining elapsed period indicating a period that has elapsed since the start of draining for the field 500 to be drained. For example, the drain warning unit 160 extracts the field 500 to be drained, for example, the field 500 that has started draining and has not yet been completed, from the field data 410. The drain warning unit 160 determines the period from the start of draining to the present time for the extracted field 500 as the draining elapsed period.

[0056] Next, the drain warning unit 160 detects the possibility of adverse effects on the crops cultivated in the field 500 due to continued draining based on the meteorological information during the draining of the field 500. For example, the drain warning unit 160 determines whether the possibility of adverse effects on the crops cultivated in the field 500 is high based on the value calculated by accumulating the temperature during the draining period. When the sum of the temperatures during the draining period is greater than the third threshold, the drain warning unit 160 determines that the possibility of adverse effects on the crops cultivated in the field 500 is high and detects the possibility of adverse effects on the crops. In addition, the third threshold is predetermined according to the crops cultivated in the field 500.

[0057] If it is determined that the possibility of adversely affecting the crops cultivated in the field 500 due to continued drainage is high (in other words, if the possibility of adversely affecting is detected), the process proceeds to step S140 (YES). If it is determined that the possibility of adversely affecting the crops cultivated in the field 500 due to continued drainage is low (in other words, if the possibility of adversely affecting is not detected), the process proceeds to step S160 (NO).

[0058] In step S140, the output unit 180 outputs warning information indicating a warning for continued draining to the terminal 200. For example, the warning information indicates the field 500 that may have an adverse effect on crops if the draining continues. 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 draining the target field 500 and the temperature during the draining period.

[0059] In step S150, the display unit 250 of the terminal 200 displays the warning information obtained from the drain detection device 100 on the input / output device 210. For example, the display unit 250 notifies the user that if the draining continues, it may have an adverse effect on the cultivated crops for the field 500 indicated in the warning information. For example, the display unit 250 can display the start time of draining in each field 500 and the temperature during the draining. The user can determine whether to end the draining in a timely manner based on the warning information to suppress the adverse effect on the crops.

[0060] In step S160, the drain period determination unit 170 of the drain detection device 100 determines whether there is a field 500 that has been drained based on the drain state. If there is a field 500 indicating that the draining is completed in the drain state determined in step S120 (YES), the process proceeds to step S170. If there is no field 500 indicating that the draining is completed in the drain state (NO), the process ends.

[0061] In step S170, the draining period determination unit 170 determines a draining period for continuing the draining of the drained field 500. For example, the draining period determination unit 170 determines the period from the start time of the draining to the end time of the draining as the draining period.

[0062] In step S180, the output unit 180 outputs the draining state information indicating the draining state of the field 500 to the terminal 200. For example, the draining state information indicates the field 500 that has started and finished draining, and the draining period of the field 500. In addition, the draining state information may indicate the start time when the field 500 starts draining, and the end time when the field 500 finishes draining. Furthermore, the draining state information may indicate the position and area of ​​the field 500.

[0063] In step S190, the display unit 250 of the terminal 200 displays the drain status information acquired from the drain detection device 100 on the input / output device 210. For example, the display unit 250 displays a list of the fields 500 indicated in the drain status information on the input / output device 210. The displayed list includes, for example, at least a part of information related to the draining performed on the field 500, such as the draining period, the start time of the draining, and the end time of the draining. In addition, the displayed list may include information related to the field 500 that is being drained, such as the location, area, etc. For example, the display unit 250 may display an image indicating the location of the field 500 that is being drained on a map. In addition, the display unit 250 may display the drain status information in the form of applying for the creation of carbon credits.

[0064] In this way, the drain detection system 1000 can detect drains without installing a special sensor in the field 500. Thus, the drain detection system 1000 assists the user in managing the drain period. In addition, the user can easily apply for carbon credit creation. Furthermore, a third party different from the user operates the drain detection system 1000 and can use the data stored in the drain detection system 1000 as evidence of carbon credit creation.

[0065] (Implementation Method 2)

[0066] In addition, if Figure 8 As shown, the field image 600 may be an image, such as a photograph, obtained by the user taking a picture of the field 500. For example, the user takes a picture of the field image 600 when draining starts and when draining ends, and transmits field image information representing the photographed field image 600 from the terminal 200 to the draining detection device 100. The draining detection device 100 confirms whether draining has been performed based on the field image 600 and determines the draining state. Here, the field image 600 obtained by taking a picture of the field 500 does not include an indicator indicating the water level of the field 500, such as the depth of the water. For example, the indicator includes a pole having a white and black striped surface.

[0067] Furthermore, the drain detection device 100 determines whether the shooting time of the field image 600 is appropriate by comparing the weather information obtained from the weather information transmission and distribution device 60 and the field image 600 shot by the user. Thus, the drain detection device 100 confirms whether it is appropriate to start draining the field 500 and to end draining the field 500. Therefore, the information stored in the drain detection device 100 can be used as information to prove the determined draining period.

[0068] Here, the weather information transmission and distribution device 60 outputs information indicating the ratio of clouds to the entire sky, such as information indicating the classification of cloudless, sunny, and cloudy, to the drain detection device 100 as the weather information of the area including the field 500. In addition, the weather information transmission and distribution device 60 may output information indicating the presence or absence of rainfall, such as information indicating raining and other classifications, to the drain detection device 100 as the weather information of the area including the field 500.

[0069] (Structure of the drain detection system)

[0070] The structure of the drain detection system 1000 is the same as that of the first embodiment, and therefore, detailed description thereof will be omitted.

[0071] (Drain detection system action)

[0072] The operation of the drain detection system 1000 will be described. When receiving the field image information from the terminal 200, the computing device 120 of the drain detection device 100 executes the drain detection program 420 to start the process as part of the drain detection method. Fig.9A , Fig. 9B Processing shown.

[0073] In step S110B, the drain determination unit 150 implemented by the computing device 120 acquires field image information representing a field image 600 obtained by photographing the field 500 from the terminal 200. Figure 8 As shown, the field image 600 includes a soil region 610 that photographs the soil of the field 500. In addition, the field image 600 includes a sky region 620 that photographs the sky state of the field 500. The drain determination unit 150 can obtain information indicating the start or end of draining from the terminal 200 together with the field image 600. For example, the user can input the time when the field image 600 is photographed as the start time or end time of draining to the input / output device 210 of the terminal 200. In addition, the field image information can include information indicating the location where the field image 600 is photographed.

[0074] In step S120B, the drain determination unit 150 determines the drain state of the field 500, for example, whether to drain, based on the field image 600. For example, the drain determination unit 150 determines whether to drain the field 500 captured in the field image 600 by any method. For example, the drain determination unit 150 may include a model, for example, a neural network, that is learned in such a manner as to output whether to drain the captured field 500 from an image captured of the field 500, for example, the soil region 610. In this case, the drain determination unit 150 inputs the field image 600 to the learned model, and determines whether to drain the captured field 500 based on the output result. In addition, the drain determination unit 150 may determine whether to drain by extracting the soil region 610 included in the field image 600 and detecting cracks in the extracted soil region 610.

[0075] In step S121, the drain determination unit 150 determines whether the shooting time of the field image 600 indicated by the start time or the end time input by the user is appropriate. For example, the drain determination unit 150 determines whether the shooting time is appropriate based on the weather information indicated in the field image 600, such as classification information such as cloudless, sunny, cloudy, and rainy. For example, first, the drain determination unit 150 obtains weather information of the region of the field 500 at the time when the field image 600 is shot, such as information indicating the state of clouds, from the weather information transmission and distribution device 60. For example, the drain determination unit 150 obtains information indicating the ratio of clouds to the entire sky, such as information indicating the classification of cloudless, sunny, and cloudy, in the region of the field 500. In addition, the drain determination unit 150 obtains information indicating the presence or absence of rainfall in the region of the field 500, such as information indicating rain and other classifications.

[0076] Next, the drain determination unit 150 determines weather information, such as information indicating the ratio of clouds to the entire sky, information indicating the presence or absence of rainfall, or both, based on the field image 600. For example, the drain determination unit 150 may include a model, such as a neural network, that is learned in such a manner as to output weather information, such as information indicating the ratio of clouds to the entire sky, information indicating the presence or absence of rainfall, etc., from an image obtained by photographing a landscape. In this case, the drain determination unit 150 inputs the field image 600 to the learned model and determines weather information of the photographed field image 600 based on the output result. In addition, the drain determination unit 150 may determine weather information by extracting the sky area 620 included in the field image 600 and detecting the ratio of clouds included in the extracted sky area 620.

[0077] Next, the drain determination unit 150 compares the weather information determined based on the field image 600 with the weather information acquired from the weather information transmission and distribution device 60. When the weather information determined based on the field image 600 is consistent with the weather information acquired from the weather information transmission and distribution device 60, the drain determination unit 150 determines that the field image 600 was photographed at the shooting time input by the user. When the weather information determined based on the field image 600 is inconsistent with the weather information acquired from the weather information transmission and distribution device 60, the drain determination unit 150 determines that the field image 600 was photographed at a time different from the shooting time input by the user.

[0078] If it is determined that the field image 600 was photographed at the photographing time input by the user (YES), the process proceeds to step Fig. 9B The processing after step S130 is the same as that in the first embodiment, and thus the description thereof is omitted. If it is determined that the field image 600 was photographed at a time different from the photographing time input by the user (NO), the processing proceeds to step S130. Fig.9A Step S122 shown.

[0079] In step S122 , the output unit 180 outputs error information indicating that the input photographing time and the time when the field image 600 was photographed are different to the terminal 200 .

[0080] In step S123, the display unit 250 of the terminal 200 displays the error information obtained from the drain detection device 100 on the input / output device 210. For example, the display unit 250 displays an image urging the user to confirm the input shooting time. If the user inputs an operation to change the shooting time to the input / output device 210 of the terminal 200, the process is temporarily terminated and then stopped. Fig.9A Step S110B starts.

[0081] Thus, the drain detection system 1000 can be based on Figure 8 The drain state of the field 500 is determined based on the field image 600 obtained by photographing the field 500. In addition, by confirming the time, such as the date, when the field image 600 was photographed based on weather information, the information stored in the drain detection system 1000 can be used as evidence information for the creation of carbon credits.

[0082] (Variation Example)

[0083] The structure described in the embodiment is an example, and the structure can be changed within the range that does not affect the function. Figure 6In step S120 shown, the drain determination unit 150 of the drain detection device 100 may determine whether to drain the field 500 shown in the field image 600 based on one field image 600. For example, the drain determination unit 150 compares the temperature of the field 500 with a threshold value to determine whether to drain. For example, the drain determination unit 150 determines a field 500 whose surface temperature reaches or exceeds a fourth threshold value as a field 500 to be drained. In addition, the drain determination unit 150 determines a field 500 whose surface temperature is less than a fifth threshold value as a field 500 not to be drained. The drain determination unit 150 determines at least one of the start time and the end time of draining based on the draining state (whether or not the field 500 is being drained) of the field 500 shown in the plurality of field images 600 observed at different times. For example, the drain determination unit 150 determines at least one of the start time and the end time of the drain based on the drain state (whether the field 500 is being drained) of the field 500 shown in two adjacent field images 600 at the observed time. In addition, the fifth threshold value may be the same as or different from the fourth threshold value. For example, the fifth threshold value may be smaller than the fourth threshold value.

[0084] In this case, for example, when it is determined that the field image 600 observed earlier (for example, the previous day) is not to be drained, and it is determined that the field image 600 observed later (for example, most recently) is to be drained, the drain determination unit 150 determines a time (for example, a date) between the time observed earlier and the time observed later as the start time for starting the draining. For example, the drain determination unit 150 may determine a date including the time observed later as the start time.

[0085] Similarly, when it is determined that the field image 600 observed earlier (for example, the previous day) is to be drained, and it is determined that the field image 600 observed later (for example, most recently) is not to be drained, the drain determination unit 150 determines the time (for example, date) between the time observed earlier and the time observed later as the end time for ending the draining. For example, the drain determination unit 150 may determine the date including the time observed later as the end time.

[0086] For example, in Figure 6 or Fig. 9B In step S180 shown, the output unit 180 of the drain detection device 100 may output the drain status information related to the field 500 whose draining period has reached a reference period or longer. For example, the output unit 180 extracts the field 500 whose draining period has reached a reference period or longer and outputs the drain status information related to the extracted field 500. In addition, the output unit 180 may extract the field 500 whose draining period is less than the reference period and exclude the information related to the extracted field 500 from the output drain status information.

[0087] Here, the reference period indicates, for example, an implementation period determined in an application for carbon credit creation, such as the number of implementation days. For example, the field data 410 stores in advance information indicating a drainage period for the field 500 that was previously drained, such as a drainage period for the drainage performed from more than 2 years ago to the present. For example, the field data 410 stores information indicating a drainage period previously determined by the drainage period determination unit 170. The output unit 180 determines a statistical value of the drainage period from more than 2 years ago to the present, such as the average number of days for each cultivation, and determines the period obtained by adding the determined statistical value to the predetermined period, such as 7 days, as the reference period.

[0088] For example, the field image 600 is not limited to an image observed from the satellite 50, but may be an image observed from above the field 500. For example, the field image 600 may be an image observed from a device flying over the field 500, such as an aircraft or a drone.

[0089] For example, in Figure 6 or Fig. 9B In step S190 shown, the display unit 250 of the terminal 200 may output information indicating the application for carbon credit creation to the device that accepts the application for carbon credit creation. Since the application for carbon credit creation is performed using the display unit 250, the user can easily apply for carbon credit creation.

[0090] For example, you can do this before or after draining. Figure 8 The field image 600 shown is captured and output to the drain detection device 100. For example, the field image 600 is captured one day before the start or end of draining and on the day when draining starts or ends. Fig.9A In step S120B shown in the figure, when it is determined not to drain the field image 600 captured earlier (for example, the previous day) and it is determined to drain the field image 600 captured later (for example, most recently), the drain determination unit 150 of the drain detection device 100 determines the time (for example, date) between the time of the earlier capture and the time of the later capture as the start time of draining. For example, the drain determination unit 150 may determine the date including the time of the later capture as the start time. Thus, the drain detection system 1000 can determine the start time of the field image 600 more accurately.

[0091] Similarly, when it is determined that the field image 600 captured earlier (for example, the previous day) is to be drained, and it is determined that the field image 600 captured later (for example, most recently) is not to be drained, the drain determination unit 150 determines the time (for example, date) between the time of the earlier capture and the time of the later capture as the end time for draining. For example, the drain determination unit 150 may determine the date including the time of the later capture as the end time. Thus, the drain detection system 1000 can determine the end time of the field image 600 more accurately.

[0092] The above-described embodiments and variations are examples. The structures described in the embodiments and variations can be arbitrarily changed or / and combined as long as the functions are not affected. In addition, as long as the required functions can be achieved, some functions described in the embodiments and variations can be omitted. For example, the terminal 200 can execute part or all of the processing of the drain detection device 100. In addition, the drain detection device 100 can execute part or all of the processing of the terminal 200.

[0093] In addition, the drain detection system 1000 may not include the terminal 200 and may acquire field image information from an external terminal not included in the drain detection system 1000, and may cause the external terminal to display drain status information.

[0094] The drain detection procedure 420 may include a display procedure 430 .

[0095] In addition, the drain detection system 1000 may omit the drain warning unit 160 when not providing a warning message to the user regarding continued draining. In this case, the drain warning unit 160 may be omitted. Figure 6 or Fig. 9B The process of step S130 to step S150 is shown.

[0096] Furthermore, the drain detection system 1000 can determine the drain state by using both the field image 600 showing the temperature of the field 500 from above and the field image 600 (photograph) obtained by photographing the field 500 .

[0097] (Note)

[0098] The drain detection method, drain detection system, and drain detection program described in each embodiment can be described as follows.

[0099] The drain detection method involved in the first approach comprises the following steps:

[0100] determining the draining state of the one or more fields based on one or more field images indicating the state of the one or more fields; and

[0101] Drain state information indicating the determined drain state is output.

[0102] The drain detection method involved in the second embodiment is based on the drain detection method involved in the first embodiment, wherein:

[0103] The one or more field images represent the temperature of the one or more fields.

[0104] The step of determining the draining state comprises the following steps:

[0105] determining at least one of a start time for starting to drain the one or more fields and an end time for ending to drain the one or more fields based on a temperature of the one or more fields represented in the one or more field images,

[0106] The drain state information includes information indicating at least one of the start time and the end time.

[0107] The drain detection method involved in the third embodiment is based on the drain detection method involved in the second embodiment, wherein:

[0108] The step of determining at least one of the start time and the end time comprises the following steps:

[0109] In a first field of the one or more fields, at least one of the start time and the end time is determined based on a temperature difference of the first field represented by a plurality of the field images observed at different times.

[0110] The drain detection method according to the fourth aspect is based on the drain detection method according to any one of the first to third aspects, wherein:

[0111] The one or more field images contain images of soil of the one or more fields.

[0112] The step of determining the draining state comprises the following steps:

[0113] The drain status indicating whether the one or more fields are drained is determined based on the status of soil of the one or more fields captured in the one or more field images.

[0114] The drain detection method according to the fifth aspect is based on the drain detection method according to any one of the first to fourth aspects, wherein:

[0115] The one or more field images include a picture of the sky above the one or more fields.

[0116] The step of determining the draining state further comprises the following steps:

[0117] determining whether a shooting time for shooting the one or more field images is appropriate based on a state of the sky over the one or more fields captured in the one or more field images and weather information of the one or more fields when the one or more field images are shot; and

[0118] When the photographing time is inappropriate, error information indicating that the photographing time is different is output.

[0119] The drain detection method according to the sixth aspect is based on the drain detection method according to any one of the first to fifth aspects, wherein:

[0120] The following steps are also included:

[0121] detecting the possibility that continued draining may adversely affect crops grown in the one or more fields based on a draining period that has elapsed since the start of the draining and the temperature of the one or more fields during the draining period; and

[0122] Based on the detection of the possibility of the adverse effect, warning information indicating a warning against continuing the drain is output.

[0123] The drain detection method involved in the seventh aspect is based on the drain detection method involved in any one of the first to sixth aspects, wherein:

[0124] The method further comprises the steps of: determining a draining period for maintaining the draining based on the draining state;

[0125] The drain status information includes information indicating the drain period.

[0126] The drain detection method involved in the eighth aspect is based on the drain detection method involved in any one of the first to seventh aspects, wherein:

[0127] The method further includes the steps of: determining a second field among the one or more fields, the draining period of which is longer than the reference period;

[0128] The drainage state information indicates the drainage state of the second field.

[0129] The drain detection method involved in the ninth aspect is based on the drain detection method involved in any one of the first to eighth aspects, wherein:

[0130] The method further includes the step of outputting information indicating the location and area of ​​the one or more fields.

[0131] The drain detection method according to the tenth aspect is based on the drain detection method according to any one of the first to ninth aspects, wherein:

[0132] The method further comprises the following step: displaying the draining status information.

[0133] The drain detection system involved in the eleventh method has:

[0134] a drainage determination unit that determines the drainage status of the one or more fields based on one or more field images indicating the status of the one or more fields; and

[0135] An output unit outputs drain state information indicating the determined drain state.

[0136] The drain detection program according to the twelfth embodiment causes the computing device to execute the following steps:

[0137] determining the draining state of the one or more fields based on one or more field images indicating the state of the one or more fields; and

[0138] Drain state information indicating the determined drain state is output.

Claims

1. A drain detection method, wherein: The drain detection method comprises the following steps: determining the draining state of the one or more fields based on one or more field images indicating the state of the one or more fields; and Drain state information indicating the determined drain state is output.

2. The drain detection method according to claim 1, wherein: The one or more field images represent the temperature of the one or more fields. The step of determining the draining state comprises the following steps: determining at least one of a start time for starting to drain the one or more fields and an end time for ending to drain the one or more fields based on a temperature of the one or more fields represented in the one or more field images, The drain state information includes information indicating at least one of the start time and the end time.

3. The drain detection method according to claim 2, wherein: The step of determining at least one of the start time and the end time comprises the following steps: In a first field of the one or more fields, at least one of the start time and the end time is determined based on a temperature difference of the first field represented by a plurality of the field images observed at different times.

4. The drain detection method according to claim 1, wherein: The one or more field images contain images of soil of the one or more fields. The step of determining the draining state comprises the following steps: The drain status indicating whether the one or more fields are drained is determined based on the status of soil of the one or more fields captured in the one or more field images.

5. The drain detection method according to claim 1, wherein: The one or more field images include a picture of the sky above the one or more fields. The step of determining the draining state further comprises the following steps: determining whether a shooting time for shooting the one or more field images is appropriate based on a state of the sky over the one or more fields captured in the one or more field images and weather information of the one or more fields when the one or more field images are shot; and When the photographing time is inappropriate, error information indicating that the photographing time is different is output.

6. The drain detection method according to any one of claims 1 to 5, wherein: The drain detection method further comprises the following steps: detecting the possibility that continued draining may adversely affect crops grown in the one or more fields based on a draining period that has elapsed since the start of the draining and the temperature of the one or more fields during the draining period; as well as Based on the detection of the possibility of the adverse effect, warning information indicating a warning against continuing the drain is output.

7. The drain detection method according to any one of claims 1 to 5, wherein: The drain detection method further comprises the steps of: determining a drain period for maintaining the drain based on the drain state, The drain status information includes information indicating the drain period.

8. The drain detection method according to any one of claims 1 to 5, wherein: The drain detection method further includes the steps of: determining a second field among the one or more fields, the drain period of which is equal to or longer than a reference period; The drainage state information indicates the drainage state of the second field.

9. The drain detection method according to any one of claims 1 to 5, wherein: The drain detection method further includes the step of outputting information indicating the location and area of ​​the one or more fields.

10. The drain detection method according to any one of claims 1 to 5, wherein: The drain detection method further comprises the following step: displaying the drain status information.

11. A drain detection system, wherein: The drain detection system has: a drain determination unit that determines the drain status of the one or more fields based on one or more field images indicating the status of the one or more fields; as well as An output unit outputs drain state information indicating the determined drain state.

12. A drain detection procedure, wherein: The drain detection program causes the computing device to perform the following steps: determining the draining state of the one or more fields based on one or more field images indicating the state of the one or more fields; and Drain state information indicating the determined drain state is output.

Images