Agricultural information processing method, device, equipment and storage medium

Abstract

The application provides an agricultural information processing method, device, equipment and storage medium, the method comprises the following steps: displaying N region identifiers and M time period identifiers, N and M are integers greater than or equal to 1; in response to the target region identifier selected from the N region identifiers and the target time period identifier selected from the M time period identifiers, obtaining target agricultural parameter information corresponding to the target region identifier and the target time period identifier; based on the target agricultural parameter information, determining an agricultural production situation index of a target region in a target time period, the target region is a region corresponding to the target region identifier, and the target time period is a time period corresponding to the target time period identifier. The agricultural information processing method, device, equipment and storage medium provided by the application are used to improve the flexibility of obtaining the agricultural production situation index.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information processing, and in particular to an agricultural information processing method, device, equipment and storage medium. BACKGROUND

[0002] At present, the remote sensing technology is used to monitor the agricultural production situation index, which can provide scientific guidance for the formulation of national grain macro-control and import and export policies, and provide more reliable, more transparent and more timely agricultural production situation index for national food security.

[0003] In the related art, the following method is usually used to obtain the agricultural production situation index: predicting the growth of crops to obtain a growth prediction result, predicting the yield of crops based on the growth prediction result to obtain a yield prediction result, and then determining the agricultural production situation index according to the yield prediction result and the planting area.

[0004] The above method can only obtain the agricultural production situation index of some regions, and cannot obtain the agricultural production situation index of any region, thereby resulting in poor flexibility in obtaining the agricultural production situation index. SUMMARY

[0005] The present application provides an agricultural information processing method, device, equipment and storage medium to solve the defect of poor flexibility in obtaining the agricultural production situation index in the prior art, and to improve the flexibility in obtaining the agricultural production situation index.

[0006] The present application provides an agricultural information processing method, comprising:

[0007] displaying N region identifiers and M time period identifiers, N and M being integers greater than or equal to 1;

[0008] in response to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers, obtaining target agricultural parameter information corresponding to the target region identifier and the target time period identifier;

[0009] based on the target agricultural parameter information, determining an agricultural production situation index of a target region in a target time period, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier.

[0010] According to the agricultural information processing method provided by the present application, in the case that the target time period is a target year, the target agricultural parameter information includes parameter information corresponding to each quarter in the target year;

[0011] based on the target agricultural parameter information, determining an agricultural production situation index of a target region in a target time period, including:

[0012] For each quarter, based on the parameter information corresponding to the quarter in the target agricultural parameter information, a production situation index of the quarter is determined;

[0013] Obtaining the total crop planting area of the target area in the target year;

[0014] Based on the production situation index of each quarter and the total crop planting area, an agricultural production situation index of the target area in the target year is determined.

[0015] According to the agricultural information processing method provided by the application, based on the parameter information corresponding to the quarter in the target agricultural parameter information, a production situation index of the quarter is determined, comprising:

[0016] The parameter information corresponding to the quarter in the target agricultural parameter information is processed by the following first processing model to obtain the production situation index of the quarter;

[0017] The first processing model is:

[0018] Wherein, P t represents the production situation index of the quarter, A R represents the total crop planting area of the rain-fed area included in the parameter information corresponding to the quarter, Y R represents the yield per unit area ratio of the rain-fed area included in the parameter information corresponding to the quarter, represents the best vegetation condition index coefficient of the rain-fed area in the quarter, represents the cultivated land planting ratio coefficient of the rain-fed area in the quarter, A I represents the total crop planting area of the irrigation area included in the parameter information corresponding to the quarter, Y I represents the yield per unit area ratio of the irrigation area included in the parameter information corresponding to the quarter, represents the best vegetation condition index coefficient of the irrigation area included in the parameter information corresponding to the quarter in the quarter, represents the cultivated land planting ratio coefficient of the irrigation area included in the parameter information corresponding to the quarter in the quarter.

[0019] According to the agricultural information processing method provided by the application, based on the production situation index of each quarter and the total crop planting area, an agricultural production situation index of the target area in the target year is determined, comprising:

[0020] Based on the production situation index of each quarter and the total crop planting area, an agricultural production situation index of the target area in the target year is determined.

[0021] The second processing model is:

[0022] Wherein, P represents the agricultural production situation index of the target area in the target year, Pt represents a production situation index of the target year, t represents a quarter of the target year, and P represents a production situation index of the tth quarter of the target year. represents a total crop planting area, M t represents a crop planting area of the tth quarter in the total crop planting area.

[0023] According to the agricultural information processing method provided by the application, the parameter information corresponding to each quarter in the target year is obtained, which comprises:

[0024] For each quarter, based on the target area identifier and the quarter identifier, the cultivated land planting proportion image, the optimal vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image of the target area in the quarter, and the historical data of the target area in the preset historical period before the quarter are obtained from the database of the CropWatch platform; based on the cultivated land planting proportion image, the optimal vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image and the historical data, the parameter information corresponding to the quarter is determined.

[0025] According to the agricultural information processing method provided by the application, in the case that the target period is the target quarter, based on the target agricultural parameter information, the agricultural production situation index of the target area in the target quarter is determined, which comprises:

[0026] The target agricultural parameter information is processed by the third processing model to obtain the agricultural production situation index of the target area in the target quarter;

[0027] The third processing model is:

[0028] Wherein, P t represents the agricultural production situation index of the target area in the target quarter, A R represents the total crop planting area of the rain-fed area included in the target agricultural parameter information, Y R represents the yield per unit area ratio of the rain-fed area included in the target agricultural parameter information, represents the optimal vegetation condition index coefficient of the rain-fed area in the target quarter included in the target agricultural parameter information, represents the cultivated land planting proportion coefficient of the rain-fed area in the target quarter included in the target agricultural parameter information, A I represents the total crop planting area of the irrigation area included in the target agricultural parameter information, Y I represents the yield per unit area ratio of the irrigation area included in the target agricultural parameter information, represents the optimal vegetation condition index coefficient of the irrigation area in the target quarter included in the target agricultural parameter information, represents the cultivated land planting proportion coefficient of the irrigation area in the target quarter included in the target agricultural parameter information.

[0029] The application further provides an agricultural information processing device, comprising:

[0030] a display module configured to display N region identifiers and M time period identifiers, N and M being integers greater than or equal to 1;

[0031] a response module configured to, in response to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers, acquire target agricultural parameter information corresponding to the target region identifier and the target time period identifier;

[0032] a determination module configured to determine, based on the target agricultural parameter information, an agricultural production situation index of a target region in a target time period, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier.

[0033] According to the agricultural information processing device provided by the application, in the case that the target time period is a target year, the target agricultural parameter information comprises parameter information corresponding to each quarter in the target year; and the determination module is specifically configured to:

[0034] determine, for each quarter, a production situation index of the quarter based on the parameter information corresponding to the quarter in the target agricultural parameter information;

[0035] acquire a total crop planting area of the target region in the target year;

[0036] determine, based on the production situation index of each quarter and the total crop planting area, an agricultural production situation index of the target region in the target year.

[0037] According to the agricultural information processing device provided by the application, the determination module is specifically configured to:

[0038] process the parameter information corresponding to the quarter in the target agricultural parameter information by using a first processing model to obtain a production situation index of the quarter;

[0039] the first processing model is:

[0040] wherein, P t represents the production situation index of the quarter, A R represents a total crop planting area of a rain-fed area included in the parameter information corresponding to the quarter, Y R represents a yield per unit area ratio of the rain-fed area included in the parameter information corresponding to the quarter, represents a best vegetation condition index coefficient of the rain-fed area in the quarter, represents a cultivated land planting ratio coefficient of the rain-fed area in the quarter, A I represents a total crop planting area of an irrigation area included in the parameter information corresponding to the quarter, Y Ia proportion of single yield of an irrigation area included in the parameter information corresponding to the quarter, a best vegetation condition index coefficient of the irrigation area included in the parameter information corresponding to the quarter, a cultivated land planting proportion coefficient of the irrigation area included in the parameter information corresponding to the quarter.

[0041] According to the agricultural information processing device provided by the present application, the determination module is specifically used for:

[0042] Based on the second processing model, the production situation index and the total crop planting area of each quarter are processed to obtain the agricultural production situation index of the target region in the target year;

[0043] The second processing model is:

[0044] Wherein, P represents the agricultural production situation index of the target region in the target year, P t represents the production situation index of the tth quarter in the target year, represents the total crop planting area, M t represents the crop planting area of the tth quarter in the total crop planting area.

[0045] According to the agricultural information processing device provided by the present application, the response module is specifically used for:

[0046] For each quarter, based on the target region identifier and the quarter identifier, the cultivated land planting proportion image, the best vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image and the historical data of the target region in the preset historical period before the quarter are obtained from the database of the CropWatch platform; based on the cultivated land planting proportion image, the best vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image and the historical data, the parameter information corresponding to the quarter is determined.

[0047] According to the agricultural information processing device provided by the present application, in the case that the target period is the target quarter, the determination module is specifically used for:

[0048] The target agricultural parameter information is processed by the third processing model to obtain the agricultural production situation index of the target region in the target quarter;

[0049] The third processing model is:

[0050] Wherein, P t represents the agricultural production situation index of the target region in the target quarter, A R represents the total crop planting area of the rain-fed area included in the target agricultural parameter information, YR a rain-fed area yield ratio included in the target agricultural parameter information, a best vegetation condition index coefficient of the rain-fed area in a target season included in the target agricultural parameter information, a cultivated land planting ratio coefficient of the rain-fed area in the target season included in the target agricultural parameter information, I a total crop planting area of an irrigation area included in the target agricultural parameter information, Y I an irrigation area yield ratio included in the target agricultural parameter information, a best vegetation condition index coefficient of the irrigation area in the target season included in the target agricultural parameter information, a cultivated land planting ratio coefficient of the irrigation area in the target season included in the target agricultural parameter information.

[0051] The present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the above-mentioned agricultural information processing method when executing the program.

[0052] The present application also provides a non-transitory computer readable storage medium, having a computer program stored thereon, the computer program being executable on a processor to implement the above-mentioned agricultural information processing method.

[0053] The present application also provides a computer program product, comprising a computer program, the computer program being executable on a processor to implement the above-mentioned agricultural information processing method.

[0054] The present application provides an agricultural information processing method, device, equipment and storage medium, the method comprising: displaying N region identifiers and M time period identifiers, N and M are integers greater than or equal to 1; in response to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers, obtaining target agricultural parameter information corresponding to the target region identifier and the target time period identifier; based on the target agricultural parameter information, determining an agricultural production situation index of a target region in a target time period, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier. In the above method, by displaying N region identifiers and M time period identifiers, the user can select any target region identifier and any target time period identifier, and further, obtain target agricultural parameter information corresponding to the target region identifier and the target time period identifier, and based on the target agricultural parameter information, determine an agricultural production situation index of the target region corresponding to the target region identifier in the target time period corresponding to the target time period identifier, thereby improving the flexibility of obtaining the agricultural production situation index. BRIEF DESCRIPTION OF DRAWINGS

[0055] In order to make the technical solutions in the present application or prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and all other drawings obtained by those of ordinary skill in the art without creative effort based on these drawings belong to the protection scope of the present application.

[0056] Figure 1 is a flowchart of the agricultural information processing method provided by the present application;

[0057] Figure 2 is a system block diagram of the agricultural information processing method provided by the present application;

[0058] Figure 3 is one of the result diagrams of the agricultural production situation index provided by the present application;

[0059] Figure 4 is another result diagram of the agricultural production situation index provided by the present application;

[0060] Figure 5 is a third result diagram of the agricultural production situation index provided by the present application;

[0061] Figure 6 is a structural diagram of the agricultural information processing device provided by the present application;

[0062] Figure 7 is a physical structure diagram of the electronic device provided by the present application. DETAILED DESCRIPTION

[0063] In order to make the technical solutions in the present application or prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the accompanying drawings in the following description are only some embodiments of the present application, and all other drawings obtained by those of ordinary skill in the art without creative effort based on these drawings belong to the protection scope of the present application.

[0064] The information processing method provided by the present application will be described below in combination with specific embodiments.

[0065] Figure 1 is a flowchart of the agricultural information processing method provided by the present application. As shown in Figure 1 , the method comprises:

[0066] S101, display N region identifiers and M time period identifiers, N and M are integers greater than or equal to 1.

[0067] Optionally, the execution subject of the agricultural information processing method can be an electronic device or an agricultural information processing apparatus disposed on the electronic device, which can be implemented by a combination of software and / or hardware.

[0068] The electronic device can be a device including a CropWatch platform, for example.

[0069] The region identifier can be a country identifier, a province identifier, a county-level identifier, an ecological zone identifier, etc.

[0070] When the region identifier is a country identifier, the N region identifiers can include the United States, Russia, China, India, France, Germany, Brazil, Argentina, etc.

[0071] When the region identifier is a province identifier, the N region identifiers can include Heilongjiang, Henan, Shandong, Sichuan, Jiangsu, Hebei, Hunan, Guangdong, Hubei, Guangxi, etc.

[0072] The time period identifier can be a year identifier or a quarter identifier.

[0073] In practice, the electronic device can display multiple country identifiers, multiple province identifiers, multiple year identifiers, and multiple quarter identifiers.

[0074] S102, in response to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers, obtaining target agricultural parameter information corresponding to the target region identifier and the target time period identifier.

[0075] The target region identifier can be any at least one of the N region identifiers.

[0076] The target time period identifier can be any at least one of the M time period identifiers.

[0077] Optionally, the target time period identifier can be a target year identifier or a target quarter identifier. The target year identifier corresponds to a target year, and the target quarter identifier corresponds to a target quarter.

[0078] S103, based on the target agricultural parameter information, determining an agricultural production situation index of the target region in the target time period, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier.

[0079] In the agricultural information processing method provided by the present application, N region identifiers and M time period identifiers are displayed, so that a user can select any target region identifier and any target time period identifier, and further, in response to the selected target region identifier from the N region identifiers and the selected target time period identifier from the M time period identifiers, target agricultural parameter information corresponding to the target region identifier and the target time period identifier is acquired; and based on the target agricultural parameter information, an agricultural production situation index of the target region in the target time period is determined, so that the agricultural production situation index of any target region in any target time period can be obtained, and the flexibility of obtaining the agricultural production situation index is improved.

[0080] In the present application, when the region identifier is a country identifier, the agricultural information processing method provided by the present application is performed for each country identifier, so that the agricultural production situation index of the country can be obtained, and thus the evaluation of the agricultural production situation can cover the main regions of the world.

[0081] Optionally, when the target time period is a target year, the target agricultural parameter information includes parameter information corresponding to each quarter in the target year;

[0082] Based on the target agricultural parameter information, the agricultural production situation index of the target region in the target time period is determined, including:

[0083] For each quarter, based on the parameter information corresponding to the quarter in the target agricultural parameter information, a production situation index of the quarter is determined;

[0084] The total crop planting area of the target region in the target year is acquired;

[0085] Based on the production situation index of each quarter and the total crop planting area, an agricultural production situation index of the target region in the target year is determined.

[0086] Optionally, based on the parameter information corresponding to the quarter in the target agricultural parameter information, the production situation index of the quarter is determined, including:

[0087] The parameter information corresponding to the quarter in the target agricultural parameter information is processed by the following first processing model to obtain the production situation index of the quarter;

[0088] The first processing model is:

[0089] wherein, P t represents the production situation index of the quarter, A R represents the total crop planting area in the rain-fed area included in the parameter information corresponding to the quarter, Y R represents the yield per unit area ratio in the rain-fed area included in the parameter information corresponding to the quarter, represents the best vegetation condition index coefficient of the rain-fed area in the quarter, represents the cultivated land planting proportion coefficient of the rain-fed area in the quarter, A I represents the total crop planting area of the irrigation area included in the parameter information corresponding to the quarter, Y I represents the yield per unit area proportion of the irrigation area included in the parameter information corresponding to the quarter, represents the optimal vegetation condition index coefficient of the irrigation area included in the parameter information corresponding to the quarter in the quarter, represents the cultivated land planting proportion coefficient of the irrigation area included in the parameter information corresponding to the quarter.

[0090] Optionally, in the case where the target period is a target year, the total crop planting area of the target region in the target year is obtained, comprising:

[0091] the crop planting area of the target region in each quarter of the target year is obtained;

[0092] the sum of the crop planting area of the target region in each quarter of the target year is determined as the total crop planting area of the target region in the target year.

[0093] For example, in the case where the target year is 2022, the total crop planting area is equal to the sum of the crop planting area in the four quarters of 2022.

[0094] Optionally, the crop planting area of the quarter is equal to the total crop planting area of the rain-fed area A r and the total crop planting area of the irrigation area A i of the quarter.

[0095] Unlike the prior art, in the prior art, the growth of crops is predicted to obtain a growth prediction result, the yield of crops is predicted based on the growth prediction result to obtain a yield per unit area prediction result, and then the agricultural production situation index is determined according to the yield per unit area prediction result and the planting area. Since the planting area needs to be monitored and certified, the monitoring and certification process takes a long time, so the timeliness of the agricultural production situation index is poor. In the present application, in the case where the target period is a target year, the total crop planting area of the target region in the target year can be directly obtained without the need for monitoring and certification, thereby improving the timeliness of obtaining the agricultural production situation index.

[0096] Optionally, based on the production situation index and the total crop planting area of each quarter, the agricultural production situation index of the target region in the target year is determined, comprising:

[0097] based on the second processing model, the production situation index and the total crop planting area of each quarter are processed to obtain the agricultural production situation index of the target region in the target year;

[0098] The second processing model is:

[0099] wherein P represents the agricultural production situation index of the target region in the target year, P t represents the production situation index of the tth quarter in the target year, represents the total crop planting area, M t represents the crop planting area of the tth quarter in the total crop planting area.

[0100] Optionally, in the case that the target period is the target year, in response to the target region identifier selected from the N region identifiers and the target period identifier selected from the M period identifiers, target agricultural parameter information corresponding to the target region identifier and the target period identifier is obtained, including:

[0101] In response to the target region identifier selected from the N region identifiers and the target period identifier selected from the M period identifiers, for each quarter in the target year corresponding to the target period identifier, the target region corresponding to the target region identifier is obtained from the database of the CropWatch platform in the quarter. The cultivated land planting proportion image, the best vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image, and the historical data of the target region within a preset historical period before the quarter are obtained.

[0102] Based on the cultivated land planting proportion image, the best vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image, and the historical data of the target region within a preset historical period before the quarter, the parameter information corresponding to the quarter is determined.

[0103] The parameter information corresponding to each quarter in the target year is determined as the target agricultural parameter information.

[0104] The cultivated land planting proportion image, the spatial resolution of which is 10 kilometers, covers the longitude range from west longitude 180 degrees to east longitude 180 degrees and the latitude range from north latitude 90 degrees to south latitude 90 degrees. The value of each pixel in the image represents the proportion of cultivated land planting in the ground area corresponding to the pixel, and the value range is between 0 and 1.

[0105] The best vegetation condition index image, the spatial resolution of which is 10 kilometers, covers the longitude range from west longitude 180 degrees to east longitude 180 degrees and the latitude range from north latitude 90 degrees to south latitude 90 degrees. The value of each pixel in the image represents the best vegetation condition index of the ground area corresponding to the pixel, and the value range is greater than 0.

[0106] an arable land mask image, having a spatial resolution of 10 km, covering a longitudinal range of 180 degrees west to 180 degrees east and a latitudinal range of 90 degrees north to 90 degrees south, and having a value of 0 or 1 for each pixel in the image, wherein 0 represents that the pixel is not arable land and 1 represents that the pixel is arable land.

[0107] an irrigation and rain-fed mask image, having a spatial resolution of 10 km, covering a longitudinal range of 180 degrees west to 180 degrees east and a latitudinal range of 90 degrees north to 90 degrees south, and having a value of 1 or 2 for each pixel in the image, wherein 1 represents that the pixel corresponds to a rain-fed region and 2 represents that the pixel corresponds to an irrigation region.

[0108] an arable land planting area image, having a spatial resolution of 10 km, covering a longitudinal range of 180 degrees west to 180 degrees east and a latitudinal range of 90 degrees north to 90 degrees south, and having a value representing an area of arable land planting of a region on the ground corresponding to each pixel in the image, the value ranging from 0 to 100.

[0109] historical data including a crop yield per unit value of a rain-fed region and a crop yield per unit value of an irrigation region in the target region.

[0110] In a case where the target period is a target year, the parameter information corresponding to the quarter includes A R , Y R , A I , Y I ,

[0111] Optionally, A R is determined based on the arable land mask image, the irrigation and rain-fed mask image, and the arable land planting proportion mask image.

[0112] Specifically, based on the arable land mask image, the irrigation and rain-fed mask image, and the arable land planting proportion mask image, the arable land mask image and the irrigation and rain-fed mask image are first superimposed according to the longitude and latitude to obtain a rain-fed arable land mask image, then the pixels of the rain-fed arable land mask image and the arable land planting proportion image are superimposed according to the longitude and latitude, all the pixels of the arable land planting proportion image located in the rain-fed region are taken out, and the values of all the taken-out pixels are summed as a total planting area of crops in the rain-fed region A R .

[0113] Optionally, Y R is determined based on the crop yield per unit value of the rain-fed region in the target region in the historical data.

[0114] Specifically, Y R is obtained by the following formula 1:

[0115]

[0116] wherein P R is the rain-fed crop yield value of the target region in the historical data.

[0117] According to formula 1, Y R is a normalized value, and the value is 1.

[0118] Optionally, the irrigation rain-fed mask image, the optimal vegetation condition index image and the cultivated land planting proportion image can be processed according to formula 2 to obtain

[0119]

[0120] wherein V i is the pixel value of the i-th pixel of the optimal vegetation condition index image, C i is the pixel value of the i-th pixel of the cultivated land planting proportion image, and R i is the pixel value of the i-th pixel of the irrigation rain-fed mask image, and n is the total number of pixels of the optimal vegetation condition index image.

[0121] Optionally, the irrigation rain-fed mask image, the cultivated land planting proportion image and the cultivated land planting area image can be processed according to formula 3 to obtain

[0122]

[0123] wherein C i is the pixel value of the i-th pixel of the cultivated land planting proportion image, S i is the pixel value of the i-th pixel of the cultivated land planting area image, R i is the pixel value of the i-th pixel of the irrigation rain-fed mask image, and n is the total number of pixels of the cultivated land planting proportion image.

[0124] Optionally, A I can be obtained based on the cultivated land mask image, the irrigation rain-fed mask image and the cultivated land planting proportion mask image.

[0125] Specifically, based on the cultivated land mask image, the irrigation rain-fed mask image and the cultivated land planting proportion mask image, first, the cultivated land mask image and the irrigation rain-fed mask image are superimposed according to the latitude and longitude to obtain an irrigation area cultivated land mask image, and then the pixels of the irrigation area cultivated land mask image and the cultivated land planting proportion image are superimposed according to the latitude and longitude, all the pixels of the cultivated land planting proportion image located in the irrigation area are taken out, and the values of all the taken-out pixels are summed up as the total area of the crop planting in the irrigation area A I .

[0126] Optionally, the irrigated crop yield value and the rain-fed crop yield value in the historical data can be processed by the following formula 4 to obtain Y I .

[0127]

[0128] wherein, P I is the irrigated crop yield value of the target region in the historical data.

[0129] Optionally, the irrigated rain-fed mask image, the optimal vegetation condition index image and the cultivated land planting proportion image can be processed by the following formula 5 to obtain

[0130]

[0131] wherein, V i is the pixel value of the i-th pixel of the optimal vegetation condition index image, C i is the pixel value of the i-th pixel of the cultivated land planting proportion image, R i is the pixel value of the i-th pixel of the irrigated rain-fed mask image, and n is the total number of pixels of the optimal vegetation condition index image.

[0132] Optionally, the irrigated rain-fed mask image, the cultivated land planting proportion image and the cultivated land planting area image can be processed by the following formula 6 to obtain

[0133]

[0134] wherein, C i is the pixel value of the i-th pixel of the cultivated land planting proportion image, R i is the pixel value of the i-th pixel of the irrigated rain-fed mask image, S i is the pixel value of the i-th pixel of the cultivated land planting area image, and n is the total number of pixels of the cultivated land planting proportion image.

[0135] Optionally, in the case that the target period is a target quarter, the target agricultural parameter information includes A R , Y R , A I , Y I , The target agricultural parameter information is processed by a third processing model to obtain an agricultural production situation index of the target region in the target quarter.

[0136] The third processing model is:

[0137] In the third processing model, P trepresents an agricultural production situation index of the target region in the target quarter, A R represents a total crop planting area in rain-fed areas included in the target agricultural parameter information, Y R represents a yield per unit area ratio in rain-fed areas included in the target agricultural parameter information, represents a best vegetation condition index coefficient of rain-fed areas in the target quarter included in the target agricultural parameter information, represents a cultivated land planting ratio coefficient of rain-fed areas in the target quarter included in the target agricultural parameter information, A I represents a total crop planting area in irrigated areas included in the target agricultural parameter information, Y I represents a yield per unit area ratio in irrigated areas included in the target agricultural parameter information, represents a best vegetation condition index coefficient of irrigated areas in the target quarter included in the target agricultural parameter information, represents a cultivated land planting ratio coefficient of irrigated areas in the target quarter included in the target agricultural parameter information.

[0138] Figure 2 A system block diagram of the agricultural information processing method provided by the present application is shown in FIG. 1. As shown in FIG. 1, when the electronic device displays N region identifiers and M time period identifiers, the user can select a target region identifier from the N region identifiers and a target time period identifier from the M time period identifiers, so as to input the user demand information to the electronic device. Figure 2

[0139] The electronic device responds to the target region identifier selected by the user from the N region identifiers and the target time period identifier selected by the user from the M time period identifiers, queries the database of the CropWatch platform for each quarter in the target year corresponding to the target time period identifier, and obtains the cultivated land planting ratio image, the best vegetation condition index image, the cultivated land mask image, the irrigated rain-fed mask image, the cultivated land planting area image of the target region corresponding to the target region identifier in the quarter, and the historical data of the target region in a preset historical period before the quarter.

[0140] Further, the agricultural production situation index is obtained according to the cultivated land planting ratio image, the best vegetation condition index image, the cultivated land mask image, the irrigated rain-fed mask image, the cultivated land planting area image of the target region corresponding to the target region identifier in the quarter, and the historical data of the target region in a preset historical period before the quarter.

[0141] Optionally, in the present application, the CropWatch platform and / or the database of the CropWatch platform can be arranged on the electronic device.

[0142] Figure 3 ​is one of the result schematic diagrams of the agricultural production situation index provided by the present application. As shown in the figure, in the case of the target period being a target quarter (for example, the first quarter), the agricultural production situation index (i.e., the production situation index) of the target quarter in different years of a plurality of countries. Figure 3

[0143] Figure 4 is another result schematic diagram of the agricultural production situation index provided by the present application. As shown in the figure, in the case of the target period being a target quarter (for example, the third quarter), the agricultural production situation index (i.e., the production situation index) of the target quarter in different years of a plurality of countries. Figure 4

[0144] Figure 5 is a third result schematic diagram of the agricultural production situation index provided by the present application. As shown in the figure, in the case of the target period being a target year, the agricultural production situation index of different target years of a plurality of countries. Figure 5

[0145] The agricultural information processing device provided by the present application is described below, and the agricultural information processing device described below can be referred to in correspondence with the agricultural information processing method described above.

[0146] Figure 6 is a structural schematic diagram of the agricultural information processing device provided by the present application. As shown in the figure, the agricultural information processing device comprises: Figure 6 The display module 610 is configured to display N region identifiers and M period identifiers, N and M being integers greater than or equal to 1.

[0147] The response module 620 is configured to, in response to a target region identifier selected from the N region identifiers and a target period identifier selected from the M period identifiers, acquire target agricultural parameter information corresponding to the target region identifier and the target period identifier.

[0148] The determination module 630 is configured to determine, based on the target agricultural parameter information, an agricultural production situation index of a target region in a target period, the target region being a region corresponding to the target region identifier, and the target period being a period corresponding to the target period identifier.

[0149] According to the agricultural information processing device provided by the present application, in the case of the target period being a target year, the target agricultural parameter information comprises parameter information corresponding to each quarter in the target year; and the determination module 630 is specifically configured to:

[0150] For each quarter, determine, based on the parameter information corresponding to the quarter in the target agricultural parameter information, a production situation index of the quarter.

[0151]

[0152] ​​​​acquire total crop planting area of the target region in the target year;

[0153] determine an agricultural production situation index of the target region in the target year based on the production situation index of each quarter and the total crop planting area.

[0154] According to the agricultural information processing device provided by the application, the determination module 630 is specifically used for:

[0155] processing the parameter information corresponding to the quarter in the target agricultural parameter information through the first processing model to obtain the production situation index of the quarter;

[0156] The first processing model is:

[0157] Wherein, P t represents the production situation index of the quarter, A R represents the total crop planting area of the rain-fed area included in the parameter information corresponding to the quarter, Y R represents the yield per unit area ratio of the rain-fed area included in the parameter information corresponding to the quarter, represents the best vegetation condition index coefficient of the rain-fed area in the quarter, represents the cultivated land planting proportion coefficient of the rain-fed area in the quarter, A I represents the total crop planting area of the irrigation area included in the parameter information corresponding to the quarter, Y I represents the yield per unit area ratio of the irrigation area included in the parameter information corresponding to the quarter, represents the best vegetation condition index coefficient of the irrigation area included in the parameter information corresponding to the quarter in the quarter, represents the cultivated land planting proportion coefficient of the irrigation area included in the parameter information corresponding to the quarter.

[0158] According to the agricultural information processing device provided by the application, the determination module 630 is specifically used for:

[0159] processing the production situation index of each quarter and the total crop planting area based on the second processing model to obtain the agricultural production situation index of the target region in the target year;

[0160] The second processing model is:

[0161] Wherein, P represents the agricultural production situation index of the target region in the target year, P t represents the production situation index of the t quarter in the target year, represents the total crop planting area, M t represents the crop planting area of the t quarter in the total crop planting area.

[0162] The agricultural information processing device provided by the present application, the response module 620 is specifically used for:

[0163] For each quarter, based on the target area identifier and the quarter identifier, the cultivated land planting proportion image, the optimal vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image and the historical data of the target area in a preset historical period before the quarter are obtained from the database of the CropWatch platform; based on the cultivated land planting proportion image, the optimal vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image and the historical data, the parameter information corresponding to the quarter is determined.

[0164] The agricultural information processing device provided by the present application, when the target period is a target quarter, the determination module 630 is specifically used for:

[0165] The target agricultural parameter information is processed by the third processing model to obtain the agricultural production situation index of the target area in the target quarter;

[0166] The third processing model is:

[0167] Wherein, P t represents the agricultural production situation index of the target area in the target quarter, A R represents the total area of rain-fed crop planting included in the target agricultural parameter information, Y R represents the yield per unit area ratio included in the target agricultural parameter information, represents the optimal vegetation condition index coefficient of the rain-fed area in the target quarter included in the target agricultural parameter information, represents the cultivated land planting proportion coefficient of the rain-fed area in the target quarter included in the target agricultural parameter information, A I represents the total area of irrigated crop planting included in the target agricultural parameter information, Y I represents the yield per unit area ratio included in the target agricultural parameter information, represents the optimal vegetation condition index coefficient of the irrigated area in the target quarter included in the target agricultural parameter information, represents the cultivated land planting proportion coefficient of the irrigated area in the target quarter included in the target agricultural parameter information.

[0168] Figure 7 It is the entity structure schematic diagram of the electronic equipment provided by the present application. Figure 7As shown, the electronic device can include a processor 710, a communications interface 720, a memory 730, and a communications bus 740, wherein the processor 710, the communications interface 720, and the memory 730 complete mutual communication through the communications bus 740. The processor 710 can invoke a logic instruction in the memory 730 to execute an agricultural information processing method, which includes: displaying N region identifiers and M time period identifiers, N and M are integers greater than or equal to 1; in response to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers, obtaining target agricultural parameter information corresponding to the target region identifier and the target time period identifier; based on the target agricultural parameter information, determining an agricultural production situation index of a target region in a target time period, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier.

[0169] In addition, the logic instruction in the memory 730 described above can be implemented in the form of a software function unit and sold or used as an independent product, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the method of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0170] On the other hand, the present application also provides a computer program product, which includes a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program is executed by a processor, and the computer can execute the agricultural information processing method provided by the above-mentioned method, which includes: displaying N region identifiers and M time period identifiers, N and M are integers greater than or equal to 1; in response to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers, obtaining target agricultural parameter information corresponding to the target region identifier and the target time period identifier; based on the target agricultural parameter information, determining an agricultural production situation index of a target region in a target time period, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier.

[0171] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the agricultural information processing method provided by any of the above methods, and the method comprises: displaying N region identifiers and M time period identifiers, N and M are integers greater than or equal to 1; in response to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers, obtaining target agricultural parameter information corresponding to the target region identifier and the target time period identifier; and based on the target agricultural parameter information, determining an agricultural production situation index of a target region in a target time period, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier.

[0172] The device embodiments described above are merely illustrative, wherein the units shown as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0173] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of software products, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and include a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods of the embodiments or some parts of the embodiments.

[0174] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some technical features; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An agricultural information processing method characterized by comprising: The method comprises the following steps: displaying N region identifiers and M time period identifiers, N and M being integers greater than or equal to 1; in response to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers, obtaining target agricultural parameter information corresponding to the target region identifier and the target time period identifier; based on the target agricultural parameter information, determining an agricultural production situation index of a target region in a target time period, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier; in the case where the target time period is a target quarter, the step of determining the agricultural production situation index of the target region in the target quarter based on the target agricultural parameter information comprises: processing the target agricultural parameter information by a third processing model to obtain the agricultural production situation index of the target region in the target quarter; The third processing model is: ; wherein, represents an agricultural production situation index of the target region in a target quarter, represents a total crop planting area in a rain-fed region included in the target agricultural parameter information, represents a yield per unit area ratio in the rain-fed region included in the target agricultural parameter information, represents a best vegetation condition index coefficient of the rain-fed region in the target quarter included in the target agricultural parameter information, represents a cultivated land planting ratio coefficient of the rain-fed region in the target quarter included in the target agricultural parameter information, represents a total crop planting area in an irrigation region included in the target agricultural parameter information, represents a yield per unit area ratio in the irrigation region included in the target agricultural parameter information, represents a best vegetation condition index coefficient of the irrigation region in the target quarter included in the target agricultural parameter information, represents a cultivated land planting ratio coefficient of the irrigation region in the target quarter included in the target agricultural parameter information.

2. The agricultural information processing method according to claim 1, characterized by, in the case where the target time period is a target year, the target agricultural parameter information comprises parameter information corresponding to each quarter in the target year; the step of determining the agricultural production situation index of the target region in the target time period based on the target agricultural parameter information comprises: for each quarter, determining a production situation index of the quarter based on the parameter information corresponding to the quarter in the target agricultural parameter information; obtaining a total crop planting area of the target region in the target year; based on the production situation index of each quarter and the total crop planting area, determining an agricultural production situation index of the target region in the target year.

3. The agricultural information processing method according to claim 2, characterized by, the step of determining the production situation index of the quarter based on the parameter information corresponding to the quarter in the target agricultural parameter information comprises: processing the parameter information corresponding to the quarter in the target agricultural parameter information by a first processing model to obtain the production situation index of the quarter; The first processing model is: ; wherein, represents a production situation index of the quarter, represents a total area of rain-fed crop planting included in the parameter information corresponding to the quarter, represents a yield per unit area ratio of rain-fed areas included in the parameter information corresponding to the quarter, represents a best vegetation condition index coefficient of rain-fed areas in the quarter, represents a cultivated land planting ratio coefficient of rain-fed areas in the quarter, represents a total area of irrigated crop planting included in the parameter information corresponding to the quarter, represents a yield per unit area ratio of irrigated areas included in the parameter information corresponding to the quarter, represents a best vegetation condition index coefficient of irrigated areas included in the parameter information corresponding to the quarter, represents a cultivated land planting ratio coefficient of irrigated areas included in the parameter information corresponding to the quarter.

4. The agricultural information processing method according to claim 3, characterized by, the step of determining the agricultural production situation index of the target region in the target year based on the production situation index of each quarter and the total crop planting area comprises: processing the production situation index of each quarter and the total crop planting area by a second processing model to obtain the agricultural production situation index of the target region in the target year. The second processing model is: ; wherein, denotes the agricultural production situation index of the target region in the target year, denotes the production situation index of the target region in the target year, denotes the production situation index of the target region in the target year, denotes the total area of the crop planting, denotes the crop planting area of the target region in the target year, denotes the crop planting area of the target region in the target year.

5. The agricultural information processing method according to claim 3 or 4, characterized by, the step of obtaining the parameter information corresponding to each quarter in the target year comprises: for each quarter, based on the target region identifier and a quarter identifier of the quarter, obtaining, from a database of a CropWatch platform, a cultivated land planting proportion image, an optimal vegetation condition index image, a cultivated land mask image, an irrigation rain-fed mask image, a cultivated land planting area image of the target region in the quarter, and historical data of the target region in a preset historical time period before the quarter; and determining the parameter information corresponding to the quarter based on the cultivated land planting proportion image, the optimal vegetation condition index image, the cultivated land mask image, the irrigation rain-fed mask image, the cultivated land planting area image, and the historical data.

6. An agricultural information processing apparatus characterized by comprising: The method comprises the following steps: a display module configured to display N region identifiers and M time period identifiers, N and M being integers greater than or equal to 1; a display module configured to display N region identifiers and M time period identifiers, N and M being integers greater than or equal to 1; a response module, configured to acquire target agricultural parameter information corresponding to a target region identifier selected from the N region identifiers and a target time period identifier selected from the M time period identifiers; a determination module, configured to determine an agricultural production situation index of a target region in a target time period based on the target agricultural parameter information, the target region being a region corresponding to the target region identifier, and the target time period being a time period corresponding to the target time period identifier; in a case where the target time period is a target quarter, the determination of the agricultural production situation index of the target region in the target quarter based on the target agricultural parameter information comprises: processing the target agricultural parameter information by a third processing model to obtain the agricultural production situation index of the target region in the target quarter; The third processing model is: ; wherein, represents an agricultural production situation index of the target region in a target quarter, represents a total crop planting area in rain-fed areas included in the target agricultural parameter information, represents a yield per unit area ratio in rain-fed areas included in the target agricultural parameter information, represents a best vegetation condition index coefficient of rain-fed areas in a target quarter included in the target agricultural parameter information, represents a cultivated land planting ratio coefficient of rain-fed areas in a target quarter included in the target agricultural parameter information, represents a total crop planting area in irrigation areas included in the target agricultural parameter information, represents a yield per unit area ratio in irrigation areas included in the target agricultural parameter information, represents a best vegetation condition index coefficient of irrigation areas in a target quarter included in the target agricultural parameter information, represents a cultivated land planting ratio coefficient of irrigation areas in a target quarter included in the target agricultural parameter information.

7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, the processor executes the program to implement the agricultural information processing method in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, the computer program is executed by the processor to implement the agricultural information processing method in any one of claims 1 to 5.

9. A computer program product comprising a computer program, characterized in that, the computer program is executed by the processor to implement the agricultural information processing method in any one of claims 1 to 5.

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