Method for constructing crop rotation system based on inorganic nutrient content regulation

Abstract

The present invention relates to the technical field of crop planting, a method and device for constructing a crop rotation system based on inorganic nutrient content regulation, comprising: obtaining an evaluation mineral distribution set based on the initial planting area, obtaining a reference planting crop set using the initial planting area, obtaining M confirmed planting crops based on the reference planting crop set, the pre-acquired current time and the evaluation mineral distribution set, if M is greater than 1, obtaining a target intercropping crop group using the M confirmed planting crops, if M is equal to 1, taking the confirmed planting crops as target rotation crops, when there are confirmed planting crops in the target intercropping crop group that have been harvested or the target rotation crops have been harvested, returning to the step of obtaining the evaluation mineral distribution set based on the initial planting area, and realizing the construction of the crop rotation system. The present invention can improve the accuracy of crop rotation management.

Description

Technical Field

[0001] The present invention relates to the technical field of crop planting, and in particular to a method, device, electronic device and computer-readable storage medium for constructing a crop rotation system based on inorganic nutrient content regulation. Background Art

[0002] Traditional crop planting models often have problems such as excessive use of chemical fertilizers, soil nutrient imbalance, and frequent crop diseases and insect pests.

[0003] At present, the implementation methods of crop rotation mostly rely on farmers to combine their own experience to achieve crop rotation.

[0004] Although the above method can achieve crop rotation, due to different planting experiences and subjective factors in human judgment, the precise optimization of the crop rotation system has become an urgent problem to be solved. Summary of the invention

[0005] The present invention provides a method for constructing a crop rotation system based on inorganic nutrient content regulation and a computer-readable storage medium, the main purpose of which is to improve the accuracy of crop rotation management.

[0006] To achieve the above object, the present invention provides a method for constructing a crop rotation system based on inorganic nutrient content regulation, comprising:

[0007] receiving a crop rotation system construction instruction, and confirming a crop system construction environment based on the crop rotation system construction instruction, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit;

[0008] obtaining an estimated mineral distribution set based on the initial planting area;

[0009] Acquire a reference planting crop set using the initial planting area, wherein the reference planting crop set includes a plurality of reference planting crops;

[0010] Acquire a marked planted crop set based on the reference planted crop set, wherein the marked planted crop set includes a plurality of marked planted crops, and the marked planted crops correspond one to one with the reference planted crops;

[0011] Obtaining a current time for planting crops, and obtaining one or more target planting crops in the identified planting crop set based on the current time and the assessed mineral distribution set;

[0012] After sending the one or more target crops to be planted to the crop feedback unit, confirming receipt of a crop planting confirmation instruction from the crop confirmation unit, parsing the crop planting confirmation instruction, and obtaining M confirmed crops to be planted, where M is an integer greater than or equal to 1;

[0013] If M is greater than 1, one or more intercropping crop groups are obtained using the M confirmed planted crops, wherein the intercropping crop group includes two confirmed planted crops, and a target intercropping crop group is confirmed based on the one or more intercropping crop groups;

[0014] If M is equal to 1, the planted crops are confirmed as the target rotation crops, and the target intercropping crop group or the target rotation crops are sent to the initiator of the rotation system construction instruction. When there are confirmed planted crops that have been harvested or target rotation crops in the target intercropping crop group that have been harvested, the process returns to the step of obtaining the evaluation mineral distribution set based on the initial planting area to realize the construction of the crop rotation system.

[0015] Optionally, obtaining an evaluation mineral distribution set based on the initial planting area includes:

[0016] Using a pre-constructed area division graph to divide the initial planting area into a plurality of target planting areas, wherein the graphs corresponding to the target planting areas are all smaller than or equal to the area division graph;

[0017] Based on the multiple target planting areas, multiple mineral detection areas and multiple mineral prediction areas are obtained, and multiple mineral detection points are obtained using the multiple mineral detection areas, wherein the mineral detection point is the center point of the area division figure corresponding to the mineral detection area;

[0018] Extract mineral detection points from the multiple mineral detection points in sequence, and perform the following operations on the extracted mineral detection points:

[0019] Acquire a detection mineral set based on the extracted mineral detection points, wherein the detection mineral set includes a plurality of detection minerals, wherein the detection minerals are composed of detection mineral names and detection mineral contents;

[0020] The detected minerals are summarized based on the names of the detected minerals to obtain a plurality of analysis mineral sets, and an evaluation mineral distribution set is obtained based on the plurality of analysis mineral sets and a plurality of mineral prediction areas.

[0021] Optionally, obtaining an evaluation mineral distribution set based on the multiple analysis mineral sets and the multiple mineral prediction areas includes:

[0022] Extract mineral prediction regions from the multiple mineral prediction regions in sequence, and perform the following operations on the extracted mineral prediction regions:

[0023] Obtaining prediction center coordinates based on the extracted mineral prediction area;

[0024] Extracting analysis mineral sets from the plurality of analysis mineral sets in sequence, and performing the following operations on the extracted analysis mineral sets:

[0025] Construct an initial prediction relationship, wherein the initial prediction relationship is as follows:

[0026] ;

[0027] in, Indicates the first The fitting mineral content of the fitting mineral corresponding to the detected mineral, Indicates the predicted center coordinates corresponding to the mineral detection area, Indicates the number of mineral detection points The coordinates of the mineral detection points, Indicates the number of mineral detection points indivual, Indicates the concentration of multiple analyzed minerals Mineral Analysis Concentration The content of the tested minerals corresponding to each tested mineral, Represents the prediction coefficient to be confirmed in the initial prediction relationship;

[0028] Optimizing the initial prediction relationship to obtain an optimized relationship, and calculating the predicted mineral content based on the extracted analysis mineral set, the prediction center coordinates and the optimized relationship;

[0029] The predicted mineral contents are summarized to obtain a predicted mineral set, and an assessed mineral distribution set is obtained based on the predicted mineral set and multiple analyzed mineral sets.

[0030] Optionally, optimizing the initial prediction relationship to obtain an optimized relationship includes:

[0031] randomly extracting a plurality of target predicted mineral regions from the plurality of mineral predicted regions, wherein the number of the extracted target predicted mineral regions is preset;

[0032] Using the multiple target predicted mineral regions, a plurality of target analysis mineral sets are obtained, wherein the target analysis mineral set includes a plurality of target minerals, and the target minerals are composed of target mineral names and target mineral contents;

[0033] A prediction coefficient set for optimizing an initial prediction relationship is obtained, wherein the prediction coefficient set includes a plurality of prediction coefficients, prediction coefficients are sequentially extracted from the prediction coefficient set, and the following operations are performed on each of the extracted prediction coefficients:

[0034] Substitute the extracted prediction coefficient into the initial prediction relationship to obtain the analytical prediction relationship, extract the target prediction mineral area from the multiple target prediction mineral areas in sequence, and perform the following operations on the extracted target prediction mineral area:

[0035] Based on the extracted target prediction mineral region and the analysis prediction relationship, a fitting analysis mineral set is obtained, wherein the fitting analysis mineral set includes a plurality of fitting minerals, wherein the fitting minerals are composed of fitting mineral names and fitting mineral contents, and the fitting minerals are respectively summarized according to the fitting mineral names corresponding to the fitting minerals to obtain a plurality of fitting analysis mineral sets, wherein the fitting analysis mineral sets correspond to the fitting mineral names one by one;

[0036] A plurality of predicted fitting mineral sets are randomly extracted from the plurality of fitting analysis mineral sets, wherein the number of extracted predicted fitting mineral sets is preset, and a plurality of reference analysis mineral sets are retrieved from the plurality of target analysis mineral sets using the fitting mineral names corresponding to the predicted fitting mineral sets in the plurality of prediction fitting mineral sets, wherein the reference analysis mineral sets correspond one to one to the predicted fitting mineral sets;

[0037] The optimization relationship is obtained by using the multiple target analysis mineral sets and the multiple reference analysis mineral sets.

[0038] Optionally, the step of obtaining the optimization relationship using the multiple target analysis mineral sets and the multiple reference analysis mineral sets includes:

[0039] Using the target predicted mineral region corresponding to the target analysis mineral set, the target analysis mineral sets in the multiple target analysis mineral sets are matched with the reference analysis mineral sets in the multiple reference analysis mineral sets to obtain multiple analysis mineral groups;

[0040] The following operations are performed for each of the multiple analysis mineral groups:

[0041] Based on the analyzed mineral group, one or more associated mineral groups are obtained and An independent mineral group, wherein the associated mineral group is composed of a fitting mineral and a target mineral, and the fitting mineral name corresponding to the fitting mineral is the same as the target mineral name corresponding to the target mineral. is an integer greater than or equal to 0, and the independent mineral group is composed of fitting minerals or target minerals;

[0042] Using one or more associated mineral groups, The consistency evaluation value is calculated based on the independent mineral groups and the pre-constructed consistency evaluation relationship, where the consistency evaluation relationship is as follows:

[0043] ;

[0044] in, represents the consistency assessment value, Indicates the first The fitted mineral content corresponding to the associated mineral groups, Indicates the first The target mineral content corresponding to each associated mineral group, Indicates the preset coefficients, Indicates shared associated mineral groups, represents the number of independent mineral groups, Indicates the preset coefficients, express The fitted mineral content or target mineral content corresponding to each independent mineral group;

[0045] The consistency evaluation values ​​are summarized to obtain a consistency evaluation value set, and the target prediction coefficient is confirmed based on the consistency evaluation value set, wherein the target prediction coefficient is the prediction coefficient corresponding to the smallest consistency evaluation value in the consistency evaluation value set, and the target prediction coefficient is used as the prediction coefficient to be confirmed in the initial prediction relationship to obtain the optimization relationship.

[0046] Optionally, the acquiring the identified planted crop set based on the reference planted crop set includes:

[0047] Extract reference planted crops from the reference planted crop set in sequence, and perform the following operations on the extracted reference planted crops:

[0048] Acquire crop reference information based on the extracted reference planted crops, wherein the crop reference information includes: multiple growth stages, planting reference periods, mineral demand content sets, mineral production content sets, and planting harvest periods of the reference planted crops, wherein the mineral demand content set includes multiple initial demand content range sets, and the initial demand content range sets correspond to the growth stages one by one, and the mineral production content set includes multiple initial production content range sets, and the initial production content range sets correspond to the growth stages one by one;

[0049] The crop reference information is used to perform an identification operation on the extracted reference planted crops to obtain identified planted crops, and the identified planted crops are summarized to obtain an identified planted crop set.

[0050] Optionally, the acquiring one or more target planted crops from the identified planted crops set based on the current time and the assessed mineral distribution set includes:

[0051] Retrieving a plurality of initially planted crops from the identified planted crops set using the current time, wherein the current time belongs to a planting reference time period corresponding to the initially planted crops;

[0052] Initially planted crops are sequentially extracted from the plurality of initially planted crops, and the following operations are performed on the extracted initially planted crops:

[0053] A set of minerals to be regulated is determined according to the mineral demand content set corresponding to the initially planted crops and the evaluated mineral distribution set, wherein the set of minerals to be regulated includes one or more minerals to be regulated, and the minerals to be regulated are composed of the content of the minerals to be regulated and the name of the minerals to be regulated;

[0054] The evaluation and control value is calculated based on the set of minerals to be controlled and the pre-constructed evaluation and control relationship, wherein the evaluation and control relationship is as follows:

[0055] ;

[0056] in, represents the evaluation control value, are all preset coefficients. Indicates the number of minerals to be regulated in the mineral set to be regulated. Indicates the concentration of minerals to be regulated The mineral content to be regulated, Indicates the mineral content set and the a target mineral value corresponding to the mineral content to be regulated, wherein the target mineral value is the maximum or minimum value of the initial required content in the initial required content range, and the absolute difference between the target mineral value and the mineral content to be regulated is the smallest;

[0057] The evaluation and regulation values ​​are summarized to obtain an evaluation and regulation value set, and one or more target crops for planting are obtained based on the evaluation and regulation value set.

[0058] Optionally, obtaining one or more target crops to be planted based on the evaluation and regulation value set includes:

[0059] Performing a sorting operation on the evaluation control values ​​in the evaluation control value set in ascending order of the evaluation control values ​​to obtain an evaluation control sequence;

[0060] Based on the preset evaluation value, one or more target planting crops are extracted from the evaluation and regulation sequence, wherein the quantity corresponding to the one or more target planting crops is the evaluation value.

[0061] Optionally, the step of identifying a target intercropping crop group based on one or more intercropping crop groups comprises:

[0062] Sequentially extract intercropping crop groups from the one or more intercropping crop groups, and perform the following operations on the extracted intercropping crop groups:

[0063] Acquire a reference regulation set based on the extracted intercrop crop group, wherein the reference regulation set includes a plurality of reference regulation values;

[0064] The comprehensive intercropping evaluation value is calculated based on the reference control set and the pre-constructed comprehensive intercropping evaluation relationship, where the comprehensive intercropping evaluation relationship is as follows:

[0065] ;

[0066] in, represents the comprehensive intercropping assessment value, Indicates the reference control set A reference control value, Indicates the total number of reference control sets A reference control value, Indicates that at the same time, the mineral production content set corresponding to the first confirmed crop of two crops and the mineral demand content set corresponding to the second confirmed crop share The minerals intersect. Indicates that at the same time, the mineral production content set corresponding to the second confirmed crop of two crops and the mineral demand content set corresponding to the first confirmed crop share The minerals intersect;

[0067] The comprehensive intercropping assessment values ​​are summarized to obtain a comprehensive intercropping assessment value set, and a target intercropping crop group is obtained based on the comprehensive intercropping assessment value set, wherein the target intercropping crop group is the intercropping crop group corresponding to the largest comprehensive intercropping assessment value in the comprehensive intercropping assessment value set.

[0068] To achieve the above object, the present invention also provides a device for constructing a crop rotation system based on inorganic nutrient content regulation, comprising:

[0069] A crop rotation environment confirmation module, used for receiving a crop rotation system construction instruction, and confirming a crop system construction environment based on the crop rotation system construction instruction, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit;

[0070] A target planting crop acquisition module, used for acquiring an evaluation mineral distribution set based on the initial planting area;

[0071] Acquire a reference planting crop set using the initial planting area, wherein the reference planting crop set includes a plurality of reference planting crops;

[0072] Acquire a marked planted crop set based on the reference planted crop set, wherein the marked planted crop set includes a plurality of marked planted crops, and the marked planted crops correspond one to one with the reference planted crops;

[0073] Obtaining a current time for planting crops, and obtaining one or more target planting crops in the identified planting crop set based on the current time and the assessed mineral distribution set;

[0074] A confirmed crop planting acquisition module is used for, after sending the one or more target crops to be planted to the crop feedback unit, confirming receipt of a confirmed crop planting instruction from the crop confirmation unit, parsing the confirmed crop planting instruction, and obtaining M confirmed crops to be planted, wherein M is an integer greater than or equal to 1;

[0075] A crop rotation system construction module, for, if M is greater than 1, obtaining one or more intercropping crop groups using M confirmed planted crops, wherein the intercropping crop group includes two confirmed planted crops, and confirming a target intercropping crop group based on the one or more intercropping crop groups;

[0076] If M is equal to 1, the planted crops are confirmed as the target rotation crops, and the target intercropping crop group or the target rotation crops are sent to the initiator of the rotation system construction instruction. When there are confirmed planted crops that have been harvested or target rotation crops in the target intercropping crop group that have been harvested, the process returns to the step of obtaining the evaluation mineral distribution set based on the initial planting area to realize the construction of the crop rotation system.

[0077] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0078] a memory storing at least one instruction; and

[0079] The processor executes the instructions stored in the memory to implement the above-mentioned method for constructing a crop rotation system based on inorganic nutrient content regulation.

[0080] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for constructing a crop rotation system based on inorganic nutrient content regulation.

[0081] The present invention is to solve the problem described in the background technology. The present invention obtains an evaluation mineral distribution set based on the initial planting area. It can be seen that the embodiment of the present invention obtains the content of different minerals in the cultivated land in combination with the actual situation of the cultivated land, and selects a mineral detection area and a mineral prediction area in the cultivated land before obtaining the content of different minerals. The minerals in the mineral detection area are detected, and the detection results are used to predict the minerals contained in the mineral prediction area. Before predicting the minerals contained in the mineral prediction area, it is also considered that the pre-constructed initial prediction relationship may be inaccurate, and the initial prediction relationship is optimized. The optimized relationship is used to predict the minerals contained in the mineral prediction area, thereby improving the results of the mineral prediction, thereby laying a foundation for the subsequent accurate screening of target rotation crops or target intercropping crop groups. The present invention utilizes the initial planting area to obtain a reference planting crop set, wherein the reference planting crop set includes multiple reference planting crops, and based on the reference planting crop set, an identified planting crop set is obtained, wherein the identified planting crop set includes multiple identified planting crops, and the identified planting crops correspond one-to-one to the reference planting crops, and the current time for planting crops is obtained, and based on the current time and the evaluation mineral distribution set, one or more target planting crops are obtained in the identified planting crop set. It can be seen that the embodiment of the present invention not only considers the crops suitable for planting in the initial planting area, which is the reference planting crop set, but also considers the possible impact of the current time and the evaluation mineral distribution set on the crops, so one or more target planting crops are screened out in the reference planting crop set, and the screened out one or more target planting crops are more in line with the actual situation of the initial planting area. In the embodiment of the present invention, if M is greater than 1, one or more intercropping crop groups are obtained by using M confirmed planting crops, wherein the intercropping crop group includes two confirmed planting crops, and the target intercropping crop group is confirmed based on one or more intercropping crop groups. If M is equal to 1, the confirmed planting crops are used as the target rotation crops, and the target intercropping crop group or the target rotation crop is sent to the initiator of the rotation system construction instruction. When there are confirmed planting crops that have been harvested or the target rotation crops that have been harvested in the target intercropping crop group, the step of obtaining the evaluation mineral distribution set based on the initial planting area is returned to realize the construction of the crop rotation system. It can be seen that the embodiment of the present invention not only considers the situation under theory, but also considers the actual situation. Therefore, M confirmed planting crops are obtained through one or more target planting crops, and different planting methods are formulated in combination with the number of confirmed planting crops, thereby improving the intelligence level of the embodiment of the present invention. Therefore, the present invention can improve the accuracy of crop rotation management. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1A schematic flow chart of a method for constructing a crop rotation system based on inorganic nutrient content regulation provided by one embodiment of the present invention;

[0083] Figure 2 A functional module diagram of a device for constructing a crop rotation system based on inorganic nutrient content regulation provided by an embodiment of the present invention;

[0084] Figure 3 A schematic diagram of the structure of an electronic device for implementing the method for constructing a crop rotation system based on inorganic nutrient content regulation provided in one embodiment of the present invention.

[0085] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0086] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0087] The embodiment of the present application provides a method for constructing a crop rotation system based on inorganic nutrient content regulation. The execution subject of the method for constructing a crop rotation system based on inorganic nutrient content regulation includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for constructing a crop rotation system based on inorganic nutrient content regulation can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0088] Reference Figure 1 FIG. 1 is a flow chart of a method for constructing a crop rotation system based on inorganic nutrient content regulation according to an embodiment of the present invention. In this embodiment, the method for constructing a crop rotation system based on inorganic nutrient content regulation includes:

[0089] S1. Receive a crop rotation system construction instruction, and confirm a crop system construction environment based on the crop rotation system construction instruction, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit.

[0090] It is understandable that the crop rotation system construction instruction is an instruction issued by a crop rotation researcher, and the crop rotation researcher confirms the crop system construction environment, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit. The crop rotation system construction system is an APP or software for constructing a crop rotation system. Please refer to the subsequent embodiments for the specific application of the unit.

[0091] For example, Xiao Zhang is a crop rotation researcher in a certain area. In order to increase the yield of crops and realize the green and recyclable utilization of land resources, Xiao Zhang issues the crop rotation system construction instruction, where a certain area is the initial planting area.

[0092] S2. Obtaining an evaluation mineral distribution set based on the initial planting area.

[0093] It is understandable that the initial planting area refers to the area where the crop rotation system needs to be constructed. For example, Xiao Zhao owns a piece of land, and now Xiao Zhao wants to realize the green recycling of soil. Therefore, Xiao Zhao confirms that the area corresponding to this piece of land is the initial planting area. The embodiment of the present invention is mainly to improve the accuracy of crop rotation.

[0094] Further, obtaining an evaluation mineral distribution set based on the initial planting area includes:

[0095] Using a pre-constructed area division graph to divide the initial planting area into a plurality of target planting areas, wherein the graphs corresponding to the target planting areas are all smaller than or equal to the area division graph;

[0096] Based on the multiple target planting areas, multiple mineral detection areas and multiple mineral prediction areas are obtained, and multiple mineral detection points are obtained using the multiple mineral detection areas, wherein the mineral detection point is the center point of the area division figure corresponding to the mineral detection area;

[0097] Extract mineral detection points from the multiple mineral detection points in sequence, and perform the following operations on the extracted mineral detection points:

[0098] Acquire a detection mineral set based on the extracted mineral detection points, wherein the detection mineral set includes a plurality of detection minerals, wherein the detection minerals are composed of detection mineral names and detection mineral contents;

[0099] The detected minerals are summarized based on the names of the detected minerals to obtain a plurality of analysis mineral sets, and an evaluation mineral distribution set is obtained based on the plurality of analysis mineral sets and a plurality of mineral prediction areas.

[0100] Furthermore, the area division graph refers to a graph used to divide the initial planting area. For example, in a rectangular land, a rectangular area is constructed as the area division graph, and the initial planting area is divided into multiple target planting areas using as few rectangular areas as possible, and the size of the area division graph can be adjusted according to the initial planting area.

[0101] It should be understood that multiple mineral detection areas are areas selected from multiple target planting areas where mineral detection in the soil is required. For example: for ease of understanding, a two-dimensional coordinate system is used as an example. The initial planting area is a rectangular area formed by vertices (0, 0), (0, 3), (5, 0) and (5, 3). The rectangular area can be divided into 15 target planting areas using a square with a side length of 1. Seven target planting areas are artificially selected from these 15 target planting areas as the mineral detection areas. The center point of each of the seven mineral detection areas is the mineral detection point, that is, a reference point for detecting the minerals and their contents in the soil. Each of the remaining eight target planting areas in the 15 target planting areas is the mineral prediction area.

[0102] It is understandable that the center point of the area division figure refers to the geometric center point of the area division figure. For example: in a square, the center point is the intersection of two diagonal lines. The name of the detected mineral refers to the name of the detected mineral. In the embodiment of the present invention, the mineral refers to a substance that will have an impact on the planting of crops. For example: phosphorus, nitrogen and other substances. The detected mineral content refers to the content of the detected mineral at the mineral detection point. For example: the phosphorus content detected at a certain mineral detection point is 1ppm. Optionally, the spectral detection method is used to obtain the detection mineral set, and other technologies can achieve the same effect, which will not be repeated here.

[0103] It should be explained that the step of obtaining the estimated mineral distribution set based on the multiple analytical mineral sets and the multiple mineral prediction areas includes:

[0104] Extract mineral prediction regions from the multiple mineral prediction regions in sequence, and perform the following operations on the extracted mineral prediction regions:

[0105] Obtaining prediction center coordinates based on the extracted mineral prediction area;

[0106] Extracting analysis mineral sets from the plurality of analysis mineral sets in sequence, and performing the following operations on the extracted analysis mineral sets:

[0107] Construct an initial prediction relationship, wherein the initial prediction relationship is as follows:

[0108] ;

[0109] in, Indicates the first The fitting mineral content of the fitting mineral corresponding to the detected mineral, Indicates the predicted center coordinates corresponding to the mineral detection area, Indicates the number of mineral detection points The coordinates of the mineral detection points, Indicates the number of mineral detection points indivual, Indicates the concentration of multiple analyzed minerals Mineral Analysis Concentration The content of the tested minerals corresponding to each tested mineral, Represents the prediction coefficient to be confirmed in the initial prediction relationship;

[0110] Optimizing the initial prediction relationship to obtain an optimized relationship, and calculating the predicted mineral content based on the extracted analysis mineral set, the prediction center coordinates and the optimized relationship;

[0111] The predicted mineral contents are summarized to obtain a predicted mineral set, and an assessed mineral distribution set is obtained based on the predicted mineral set and multiple analyzed mineral sets.

[0112] It should be understood that the prediction center coordinates refer to the coordinates of the center corresponding to the extracted mineral prediction area. The purpose of optimizing the initial prediction relationship is to improve the accuracy of the prediction of the mineral content in the mineral prediction area, and then improve the accuracy of the construction of the crop rotation system.

[0113] Furthermore, the optimizing the initial prediction relationship to obtain the optimized relationship includes:

[0114] randomly extracting a plurality of target predicted mineral regions from the plurality of mineral predicted regions, wherein the number of the extracted target predicted mineral regions is preset;

[0115] Using the multiple target predicted mineral regions, a plurality of target analysis mineral sets are obtained, wherein the target analysis mineral set includes a plurality of target minerals, and the target minerals are composed of target mineral names and target mineral contents;

[0116] A prediction coefficient set for optimizing an initial prediction relationship is obtained, wherein the prediction coefficient set includes a plurality of prediction coefficients, prediction coefficients are sequentially extracted from the prediction coefficient set, and the following operations are performed on each of the extracted prediction coefficients:

[0117] Substitute the extracted prediction coefficient into the initial prediction relationship to obtain the analytical prediction relationship, extract the target prediction mineral area from the multiple target prediction mineral areas in sequence, and perform the following operations on the extracted target prediction mineral area:

[0118] Based on the extracted target prediction mineral region and the analysis prediction relationship, a fitting analysis mineral set is obtained, wherein the fitting analysis mineral set includes a plurality of fitting minerals, wherein the fitting minerals are composed of fitting mineral names and fitting mineral contents, and the fitting minerals are respectively summarized according to the fitting mineral names corresponding to the fitting minerals to obtain a plurality of fitting analysis mineral sets, wherein the fitting analysis mineral sets correspond to the fitting mineral names one by one;

[0119] A plurality of predicted fitting mineral sets are randomly extracted from the plurality of fitting analysis mineral sets, wherein the number of extracted predicted fitting mineral sets is preset, and a plurality of reference analysis mineral sets are retrieved from the plurality of target analysis mineral sets using the fitting mineral names corresponding to the predicted fitting mineral sets in the plurality of prediction fitting mineral sets, wherein the reference analysis mineral sets correspond one to one to the predicted fitting mineral sets;

[0120] The optimization relationship is obtained by using the multiple target analysis mineral sets and the multiple reference analysis mineral sets.

[0121] It is understandable that the target predicted mineral region refers to the mineral predicted region extracted from the multiple mineral predicted regions. The target analysis mineral set refers to the mineral content and name set obtained after the mineral content of the soil is detected in the target predicted mineral region, wherein the target analysis mineral set is obtained in the same manner as the detection mineral set, which will not be described in detail here. Optionally, the prediction coefficient set is obtained by experience.

[0122] Furthermore, the fitting analysis mineral set refers to a set that predicts the mineral content contained in the extracted target prediction mineral area by using the analysis prediction relationship and the coordinates of the center point corresponding to the extracted target prediction mineral area, wherein the difference between the fitting analysis mineral set and the target analysis mineral set is that the fitting analysis mineral set is a set of predicted values ​​corresponding to the minerals, while the target analysis mineral set is a set of actual values ​​corresponding to the minerals. Therefore, the initial prediction relationship can be optimized through the gap between the predicted values ​​and the actual values.

[0123] It is understandable that the predicted fitting mineral set is a fitting analysis mineral set extracted from multiple fitting analysis mineral sets, and the extraction quantity refers to the number of fitting analysis mineral sets randomly extracted from multiple fitting analysis mineral sets. The purpose of randomly extracting multiple predicted fitting mineral sets from multiple fitting analysis mineral sets is to reduce the calculation or iteration resources required to optimize the initial prediction relationship while improving the accuracy of the initial prediction relationship. For example: there are 10 fitting analysis mineral sets, and each of the 10 fitting analysis mineral sets includes 10 fitting minerals. The preset extraction quantity is 5. Then, it is necessary to analyze the fitting minerals corresponding to the 5 fitting analysis mineral sets in order to optimize the initial prediction relationship. The definitions of fitting minerals, test minerals and target minerals, fitting mineral names, target mineral names and test mineral names, test mineral content, target mineral content and fitting mineral content are the same and will not be repeated here.

[0124] For example, if the number of target prediction mineral areas to be extracted is preset to be 10, then 10 target prediction mineral areas need to be randomly extracted from multiple mineral prediction areas, and detection is performed in each of the extracted 10 target prediction mineral areas to obtain 10 target analysis mineral sets, wherein each target analysis mineral set may contain multiple minerals and their corresponding contents, and the analysis prediction relationship, the coordinates of the center point corresponding to the target prediction mineral area, and each analysis mineral set in multiple analysis mineral sets can be used to predict the detected minerals corresponding to the analysis mineral set in the target prediction mineral area. After the fitting minerals are summarized by the fitting mineral names, the fitting analysis mineral set is obtained. The minerals detected in different target prediction mineral areas may be different from the fitting mineral set, and the same target prediction mineral area and the same mineral may also be different in the fitting mineral set and the target analysis mineral set. Therefore, randomly extracting a preset number of predicted fitting mineral sets from multiple fitting analysis mineral sets can characterize the distribution of minerals in the initial planting area.

[0125] It should be explained that the use of the multiple target analysis mineral sets and the multiple reference analysis mineral sets to obtain the optimization relationship includes:

[0126] Using the target predicted mineral region corresponding to the target analysis mineral set, the target analysis mineral sets in the multiple target analysis mineral sets are matched with the reference analysis mineral sets in the multiple reference analysis mineral sets to obtain multiple analysis mineral groups;

[0127] The following operations are performed for each of the multiple analysis mineral groups:

[0128] Based on the analyzed mineral group, one or more associated mineral groups are obtained and An independent mineral group, wherein the associated mineral group is composed of a fitting mineral and a target mineral, and the fitting mineral name corresponding to the fitting mineral is the same as the target mineral name corresponding to the target mineral. is an integer greater than or equal to 0, and the independent mineral group is composed of fitting minerals or target minerals;

[0129] Using one or more associated mineral groups, The consistency evaluation value is calculated based on the independent mineral groups and the pre-constructed consistency evaluation relationship, where the consistency evaluation relationship is as follows:

[0130] ;

[0131] in, represents the consistency assessment value, Indicates the first The fitted mineral content corresponding to the associated mineral groups, Indicates the first The target mineral content corresponding to each associated mineral group, Indicates the preset coefficients, Indicates shared associated mineral groups, represents the number of independent mineral groups, Indicates the preset coefficients, express The fitted mineral content or target mineral content corresponding to each independent mineral group;

[0132] The consistency evaluation values ​​are summarized to obtain a consistency evaluation value set, and the target prediction coefficient is confirmed based on the consistency evaluation value set, wherein the target prediction coefficient is the prediction coefficient corresponding to the smallest consistency evaluation value in the consistency evaluation value set, and the target prediction coefficient is used as the prediction coefficient to be confirmed in the initial prediction relationship to obtain the optimization relationship.

[0133] It should be explained that the analysis mineral group is composed of the target analysis mineral set and the reference analysis mineral set corresponding to the same target prediction mineral area. The purpose of dividing the analysis mineral group into an associated mineral group and an independent mineral group is to improve the accuracy of obtaining the prediction coefficient to be confirmed by combining the target mineral content and the fitted mineral content in the analysis mineral group. The definition of the target mineral content and the fitted mineral content, the target mineral name and the fitted mineral name are the same, and can achieve the same effect, so they will not be repeated here.

[0134] It should be understood that the fitting mineral content of the fitting mineral obtained by using the analysis-prediction relationship is not zero, while in the target analysis mineral set, there is a target mineral content of zero with the same fitting mineral name as the fitting mineral corresponding to the fitting mineral. Therefore, dividing the analysis mineral group into an associated mineral group and an independent mineral group can improve the accuracy of the consistency assessment value. Optionally, the fitting minerals are extracted in sequence from the predicted fitting mineral set corresponding to the analysis mineral group, and the fitting mineral name corresponding to the extracted fitting mineral is used to retrieve the target mineral name with the same fitting mineral name in the target mineral set. If there is a target mineral with the same fitting mineral name in the target mineral set, the fitting mineral is associated with the target mineral to obtain the associated mineral group, and the remaining fitting minerals in the fitting mineral set and the remaining target minerals in the target mineral set are all the independent mineral group.

[0135] S3. Using the initial planting area, obtaining a reference planting crop set, wherein the reference planting crop set includes a plurality of reference planting crops.

[0136] It should be explained that the reference planting crops refer to the crops that can be planted in the selected initial planting area. Different initial planting areas may have different climates, different light conditions, different temperatures, etc. Therefore, different initial planting areas may correspond to different reference planting crop sets. For example: when the initial planting area is in the tropics, it is suitable to plant crops such as rice, bananas, and pineapples in the initial planting area. When the initial planting area is in the temperate zone, it is suitable to plant crops such as wheat, corn, and potatoes in the initial planting area.

[0137] S4. Acquire a set of identified planted crops based on the reference planted crop set, wherein the set of identified planted crops includes a plurality of identified planted crops, and the identified planted crops correspond one-to-one to the reference planted crops.

[0138] It can be understood that the step of obtaining the identified planted crop set based on the reference planted crop set includes:

[0139] Extract reference planted crops from the reference planted crop set in sequence, and perform the following operations on the extracted reference planted crops:

[0140] Acquire crop reference information based on the extracted reference planted crops, wherein the crop reference information includes: multiple growth stages, planting reference periods, mineral demand content sets, mineral production content sets, and planting harvest periods of the reference planted crops, wherein the mineral demand content set includes multiple initial demand content range sets, and the initial demand content range sets correspond to the growth stages one by one, and the mineral production content set includes multiple initial production content range sets, and the initial production content range sets correspond to the growth stages one by one;

[0141] The crop reference information is used to perform an identification operation on the extracted reference planted crops to obtain identified planted crops, and the identified planted crops are summarized to obtain an identified planted crop set.

[0142] Further, the growth stage of the reference planting crops refers to the different stages in the entire life cycle of the reference planting crops from sowing to harvesting. Generally, the multiple growth stages of the reference planting crops are: germination stage, emergence stage, vegetative growth stage, branching stage, flowering stage, pollination stage, fruit setting stage, fruit development stage and fruit maturity stage. Different reference planting crops may have different growth stages, so the growth stage needs to be obtained in combination with the specific reference planting crops. The planting reference period refers to the suitable planting period of the reference planting crops in the initial planting area. For example: the suitable planting period for sowing spring wheat in the northeast region is: late April to early May, and the suitable planting period for sowing spring wheat in the northwest region is: mid-March to early April. The mineral requirement content set refers to: a set of the range of mineral content required by crops at different growth stages. For example: crops have a large demand for nitrogen in the early and mid-term growth, and the range of nitrogen is A to B, while the demand for phosphorus is large in the early stage of plant growth, and the range of phosphorus is C to D.

[0143] It should be explained that the initial production content range set refers to the set of ranges of minerals that can be produced or fixed by crops at different growth stages. For example: when planting legume crops, legume crops can increase the nitrogen content in the soil through nitrogen fixation. The planting and harvest period refers to the time period for harvesting the extracted reference planted crops in the initial planting area. Optionally, the mineral demand content set and the mineral production content set are obtained by sampling the soil in the initial planting area and conducting mineral testing on the sampled soil, and the extracted reference planted crops can bear fruit normally. Other methods can achieve the same effect, which will not be repeated here.

[0144] S5. Obtain the current time for planting crops, and based on the current time and the evaluated mineral distribution set, obtain one or more target planting crops in the identified planting crop set.

[0145] It should be explained that the current time refers to the current time.

[0146] Further, based on the current time and the evaluated mineral distribution set, obtaining one or more target planted crops from the identified planted crops set includes:

[0147] Retrieving a plurality of initially planted crops from the identified planted crops set using the current time, wherein the current time belongs to a planting reference time period corresponding to the initially planted crops;

[0148] Initially planted crops are sequentially extracted from the plurality of initially planted crops, and the following operations are performed on the extracted initially planted crops:

[0149] A set of minerals to be regulated is determined according to the mineral demand content set corresponding to the initially planted crops and the evaluated mineral distribution set, wherein the set of minerals to be regulated includes one or more minerals to be regulated, and the minerals to be regulated are composed of the content of the minerals to be regulated and the name of the minerals to be regulated;

[0150] The evaluation and control value is calculated based on the set of minerals to be controlled and the pre-constructed evaluation and control relationship, wherein the evaluation and control relationship is as follows:

[0151] ;

[0152] in, represents the evaluation control value, are all preset coefficients. Indicates the number of minerals to be regulated in the mineral set to be regulated. Indicates the concentration of minerals to be regulated The mineral content to be regulated, Indicates the mineral content set and the a target mineral value corresponding to the mineral content to be regulated, wherein the target mineral value is the maximum or minimum value of the initial required content in the initial required content range, and the absolute difference between the target mineral value and the mineral content to be regulated is the smallest;

[0153] The evaluation and regulation values ​​are summarized to obtain an evaluation and regulation value set, and one or more target crops for planting are obtained based on the evaluation and regulation value set.

[0154] It should be understood that when the current time period belongs to the planting reference time period, it indicates that the identified planting crops corresponding to the current time period can be planted at the current time, wherein the identified planting crops that can be planted at the current time are the initial planting crops. The mineral to be regulated refers to a mineral whose mean value of the content of the same mineral in the assessed mineral distribution set does not fall within the initial required content range corresponding to the mineral. For example: the mean value of the nitrogen content in the assessed mineral distribution set is 5ppm, and the required range of nitrogen content is: 10ppm to 15ppm, then nitrogen is the mineral to be regulated, nitrogen is the name of the mineral to be regulated, 5ppm is the content of the mineral to be regulated, and at this time, the target mineral value is 10ppm.

[0155] It is understandable that the step of obtaining one or more target crops to be planted based on the evaluation and regulation value set includes:

[0156] Performing a sorting operation on the evaluation control values ​​in the evaluation control value set in ascending order of the evaluation control values ​​to obtain an evaluation control sequence;

[0157] Based on the preset evaluation value, one or more target planting crops are extracted from the evaluation and regulation sequence, wherein the quantity corresponding to the one or more target planting crops is the evaluation value.

[0158] Furthermore, one or more target planting crops are initial planting crops corresponding to the evaluation and regulation values ​​sequentially extracted from the evaluation and regulation sequence. The initial planting crops that are closer to the front in the evaluation and regulation sequence require smaller components for soil regulation or fewer types of minerals for regulation. Thus, extracting target planting crops from the evaluation and regulation sequence in order from the earliest to the latest can reduce the number of times soil regulation is performed and reduce the difficulty of soil regulation.

[0159] S6. After sending the one or more target crops to be planted to the crop feedback unit, confirm receiving the crop planting confirmation instruction from the crop confirmation unit, parse the crop planting confirmation instruction, and obtain M confirmed crop plantings, where M is an integer greater than or equal to 1.

[0160] Exemplarily, one or more target crops to be planted are: potatoes, corn, wheat, apples and other crops. After the one or more target crops to be planted are sent to the crop feedback unit, Xiao Wang, as a farmer, selects one or more crops to be planted from the one or more target crops to be planted. The one or more crops selected by Xiao Wang are fitted into a confirmation crop planting instruction through the crop confirmation unit, and the confirmation crop planting instruction is parsed to obtain the one or more crops selected by Xiao Wang. Here, the one or more crops selected by Xiao Wang are M confirmed crop planting crops.

[0161] S7. If M is greater than 1, one or more intercropping crop groups are obtained using the M confirmed planted crops, wherein the intercropping crop group includes two confirmed planted crops, and a target intercropping crop group is confirmed based on the one or more intercropping crop groups.

[0162] Furthermore, using M confirmed crops to obtain one or more intercropping crop groups means: combining the confirmed crops in the M confirmed crops in pairs to obtain two confirmed crops that can be planted at the same time. For example: the M confirmed crops are: potatoes, corn and sweet potatoes, then three intercropping crop groups can be obtained through potatoes, corn and sweet potatoes, wherein the three intercropping crop groups are: potatoes and corn, potatoes and sweet potatoes, and corn and sweet potatoes.

[0163] It is understood that the intercropping crop group refers to a combination of confirmed crops that can be intercropped. Intercropping refers to an agricultural technology that simultaneously plants multiple crops on the same land. Intercropping can achieve the joint planting of different crops. For example, intercropping beans with corn can increase the nitrogen content in the soil through nitrogen fixation. The root system of beans helps to improve the soil structure, increase the porosity and aeration of the soil, and is beneficial to the growth of corn.

[0164] It should be understood that the identification of the target intercropping crop group based on one or more intercropping crop groups includes:

[0165] Sequentially extract intercropping crop groups from the one or more intercropping crop groups, and perform the following operations on the extracted intercropping crop groups:

[0166] Acquire a reference regulation set based on the extracted intercropping crop group, wherein the reference regulation set includes a plurality of reference regulation values;

[0167] The comprehensive intercropping evaluation value is calculated based on the reference control set and the pre-constructed comprehensive intercropping evaluation relationship, where the comprehensive intercropping evaluation relationship is as follows:

[0168] ;

[0169] in, represents the comprehensive intercropping assessment value, Indicates the reference control set A reference control value, Indicates the total number of reference control sets A reference control value, Indicates that at the same time, the mineral production content set corresponding to the first confirmed crop of two crops and the mineral demand content set corresponding to the second confirmed crop share The minerals intersect. Indicates that at the same time, the mineral production content set corresponding to the second confirmed crop of two crops and the mineral demand content set corresponding to the first confirmed crop share The minerals intersect;

[0170] The comprehensive intercropping assessment values ​​are summarized to obtain a comprehensive intercropping assessment value set, and a target intercropping crop group is obtained based on the comprehensive intercropping assessment value set, wherein the target intercropping crop group is the intercropping crop group corresponding to the largest comprehensive intercropping assessment value in the comprehensive intercropping assessment value set.

[0171] It is understandable that the reference control values ​​in the reference control set are the ratios of the intersection and union of the corresponding components in the planting reference period, mineral demand content set, mineral production content set and planting and harvest period corresponding to the first confirmed planting crop and the planting reference period, mineral demand content set, mineral production content set and planting and harvest period corresponding to the second confirmed planting crop. Take the planting reference period corresponding to the first confirmed planting crop and the planting reference period corresponding to the second confirmed planting crop as an example: the planting reference period corresponding to the first confirmed planting crop is January to March, and the planting reference period corresponding to the second confirmed planting crop is February to April, then the reference control values ​​corresponding to the first confirmed planting crop and the second confirmed planting crop in the planting reference period are: the intersection of January to March and February to April is divided by the union of January to March and February to April, that is, 0.25. The acquisition methods of the remaining reference control values ​​are the same as the acquisition methods of the reference control values ​​corresponding to the planting reference period, and can achieve the same effects, which will not be repeated here.

[0172] It should be understood that the mineral production content set corresponding to the second confirmed crop planting and the mineral demand content set corresponding to the first confirmed crop planting share The intersection of minerals means that at the same time, the first confirmed crop can produce The mineral production content set corresponding to the first confirmed crop and the mineral demand content set corresponding to the second confirmed crop have a common The minerals intersect with each other, which will not be discussed here.

[0173] Furthermore, a larger value of the comprehensive intercropping assessment indicates a greater correlation between the two confirmed crops, that is, it is easier to manage and regulate the two confirmed crops when planted together.

[0174] S8. If M is equal to 1, the planted crops are confirmed as the target rotation crops, and the target intercropping crop group or the target rotation crop is sent to the initiator of the rotation system construction instruction. When there are confirmed planted crops that are harvested or target rotation crops that are harvested in the target intercropping crop group, the step of obtaining the evaluation mineral distribution set based on the initial planting area is returned to realize the construction of the crop rotation system.

[0175] It should be explained that the technology of regulating inorganic nutrients in the soil when confirming the planting of crops or target intercropping crop groups is an existing technology and will not be described in detail here. In the embodiment of the present invention, crops are harvested means that the crops are harvested after they are mature.

[0176] For example, Xiao Wang plants corn and potatoes while harvesting, and after harvesting the potatoes, he confirms again the crops that are suitable for the land managed by Xiao Wang, thereby realizing the construction of a crop rotation system.

[0177] The present invention is to solve the problem described in the background technology. The present invention obtains an evaluation mineral distribution set based on the initial planting area. It can be seen that the embodiment of the present invention obtains the content of different minerals in the cultivated land in combination with the actual situation of the cultivated land, and selects a mineral detection area and a mineral prediction area in the cultivated land before obtaining the content of different minerals. The minerals in the mineral detection area are detected, and the detection results are used to predict the minerals contained in the mineral prediction area. Before predicting the minerals contained in the mineral prediction area, it is also considered that the pre-constructed initial prediction relationship may be inaccurate, and the initial prediction relationship is optimized. The optimized relationship is used to predict the minerals contained in the mineral prediction area, thereby improving the results of the mineral prediction, thereby laying a foundation for the subsequent accurate screening of target rotation crops or target intercropping crop groups. The present invention utilizes the initial planting area to obtain a reference planting crop set, wherein the reference planting crop set includes multiple reference planting crops, and based on the reference planting crop set, an identified planting crop set is obtained, wherein the identified planting crop set includes multiple identified planting crops, and the identified planting crops correspond one-to-one to the reference planting crops, and the current time for planting crops is obtained, and based on the current time and the evaluation mineral distribution set, one or more target planting crops are obtained in the identified planting crop set. It can be seen that the embodiment of the present invention not only considers the crops suitable for planting in the initial planting area, which is the reference planting crop set, but also considers the possible impact of the current time and the evaluation mineral distribution set on the crops, so one or more target planting crops are screened out in the reference planting crop set, and the screened out one or more target planting crops are more in line with the actual situation of the initial planting area. In the embodiment of the present invention, if M is greater than 1, one or more intercropping crop groups are obtained by using M confirmed planting crops, wherein the intercropping crop group includes two confirmed planting crops, and the target intercropping crop group is confirmed based on one or more intercropping crop groups. If M is equal to 1, the confirmed planting crops are used as the target rotation crops, and the target intercropping crop group or the target rotation crop is sent to the initiator of the rotation system construction instruction. When there are confirmed planting crops that have been harvested or the target rotation crops that have been harvested in the target intercropping crop group, the step of obtaining the evaluation mineral distribution set based on the initial planting area is returned to realize the construction of the crop rotation system. It can be seen that the embodiment of the present invention not only considers the situation under theory, but also considers the actual situation. Therefore, M confirmed planting crops are obtained through one or more target planting crops, and different planting methods are formulated in combination with the number of confirmed planting crops, thereby improving the intelligence level of the embodiment of the present invention. Therefore, the present invention can improve the accuracy of crop rotation management.

[0178] like Figure 2, which is a functional module diagram of a device for constructing a crop rotation system based on inorganic nutrient content regulation provided by an embodiment of the present invention.

[0179] The crop rotation system construction device 100 based on inorganic nutrient content regulation of the present invention can be installed in an electronic device. According to the functions to be implemented, the crop rotation system construction device 100 based on inorganic nutrient content regulation can include a crop rotation environment confirmation module 101, a target planted crop acquisition module 102, a confirmed planted crop acquisition module 103 and a crop rotation system construction module 104. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0180] The crop rotation environment confirmation module 101 is used to receive a crop rotation system construction instruction, and confirm a crop system construction environment based on the crop rotation system construction instruction, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit;

[0181] The target crop acquisition module 102 is used to acquire an evaluation mineral distribution set based on the initial planting area;

[0182] Acquire a reference planting crop set using the initial planting area, wherein the reference planting crop set includes a plurality of reference planting crops;

[0183] Acquire a marked planted crop set based on the reference planted crop set, wherein the marked planted crop set includes a plurality of marked planted crops, and the marked planted crops correspond one to one with the reference planted crops;

[0184] Obtaining a current time for planting crops, and obtaining one or more target planting crops in the identified planting crop set based on the current time and the assessed mineral distribution set;

[0185] The confirmed crop planting acquisition module 103 is used to confirm the receipt of the confirmed crop planting instruction from the crop confirmation unit after sending the one or more target crop planting to the crop feedback unit, and parse the confirmed crop planting instruction to obtain M confirmed crop planting, where M is an integer greater than or equal to 1;

[0186] The crop rotation system construction module 104 is used for obtaining one or more intercropping crop groups using M confirmed planted crops if M is greater than 1, wherein the intercropping crop group includes two confirmed planted crops, and confirming a target intercropping crop group based on the one or more intercropping crop groups;

[0187] If M is equal to 1, the planted crops are confirmed as the target rotation crops, and the target intercropping crop group or the target rotation crops are sent to the initiator of the rotation system construction instruction. When there are confirmed planted crops that have been harvested or target rotation crops in the target intercropping crop group that have been harvested, the process returns to the step of obtaining the evaluation mineral distribution set based on the initial planting area to realize the construction of the crop rotation system.

[0188] In detail, the modules in the crop rotation system construction device 100 based on inorganic nutrient content regulation in the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means are used as the method for constructing a crop rotation system based on inorganic nutrient content regulation described in the text, and can produce the same technical effects, so they will not be repeated here.

[0189] like Figure 3 , which is a schematic diagram of the structure of an electronic device for implementing a method for constructing a crop rotation system based on inorganic nutrient content regulation provided by an embodiment of the present invention.

[0190] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for constructing a crop rotation system based on inorganic nutrient content regulation.

[0191] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the program of the method for constructing a crop rotation system based on inorganic nutrient content regulation, but also can be used to temporarily store data that has been output or is to be output.

[0192] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (for example, a program for constructing a crop rotation system based on inorganic nutrient content regulation, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0193] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0194] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0195] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0196] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0197] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0198] The program of the method for constructing a crop rotation system based on inorganic nutrient content regulation stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, the following can be achieved:

[0199] receiving a crop rotation system construction instruction, and confirming a crop system construction environment based on the crop rotation system construction instruction, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit;

[0200] obtaining an estimated mineral distribution set based on the initial planting area;

[0201] Acquire a reference planting crop set using the initial planting area, wherein the reference planting crop set includes a plurality of reference planting crops;

[0202] Acquire a marked planted crop set based on the reference planted crop set, wherein the marked planted crop set includes a plurality of marked planted crops, and the marked planted crops correspond one to one with the reference planted crops;

[0203] Obtaining a current time for planting crops, and obtaining one or more target planting crops in the identified planting crop set based on the current time and the assessed mineral distribution set;

[0204] After sending the one or more target crops to be planted to the crop feedback unit, confirming receipt of a crop planting confirmation instruction from the crop confirmation unit, parsing the crop planting confirmation instruction, and obtaining M confirmed crops to be planted, where M is an integer greater than or equal to 1;

[0205] If M is greater than 1, one or more intercropping crop groups are obtained using the M confirmed planted crops, wherein the intercropping crop group includes two confirmed planted crops, and a target intercropping crop group is confirmed based on the one or more intercropping crop groups;

[0206] If M is equal to 1, the planted crops are confirmed as the target rotation crops, and the target intercropping crop group or the target rotation crops are sent to the initiator of the rotation system construction instruction. When there are confirmed planted crops that have been harvested or target rotation crops in the target intercropping crop group that have been harvested, the process returns to the step of obtaining the evaluation mineral distribution set based on the initial planting area to realize the construction of the crop rotation system.

[0207] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0208] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0209] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0210] receiving a crop rotation system construction instruction, and confirming a crop system construction environment based on the crop rotation system construction instruction, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit;

[0211] obtaining an estimated mineral distribution set based on the initial planting area;

[0212] Acquire a reference planting crop set using the initial planting area, wherein the reference planting crop set includes a plurality of reference planting crops;

[0213] Acquire a marked planted crop set based on the reference planted crop set, wherein the marked planted crop set includes a plurality of marked planted crops, and the marked planted crops correspond one to one with the reference planted crops;

[0214] Obtaining a current time for planting crops, and obtaining one or more target planting crops in the identified planting crop set based on the current time and the assessed mineral distribution set;

[0215] After sending the one or more target crops to be planted to the crop feedback unit, confirming receipt of a crop planting confirmation instruction from the crop confirmation unit, parsing the crop planting confirmation instruction, and obtaining M confirmed crops to be planted, where M is an integer greater than or equal to 1;

[0216] If M is greater than 1, one or more intercropping crop groups are obtained using the M confirmed planted crops, wherein the intercropping crop group includes two confirmed planted crops, and a target intercropping crop group is confirmed based on the one or more intercropping crop groups;

[0217] If M is equal to 1, the planted crops are confirmed as the target rotation crops, and the target intercropping crop group or the target rotation crops are sent to the initiator of the rotation system construction instruction. When there are confirmed planted crops that have been harvested or target rotation crops in the target intercropping crop group that have been harvested, the process returns to the step of obtaining the evaluation mineral distribution set based on the initial planting area to realize the construction of the crop rotation system.

[0218] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, and actual implementation may have other division methods.

[0219] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0220] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0221] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0222] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for constructing a crop rotation system based on inorganic nutrient content regulation, characterized in that: The method comprises: receiving a crop rotation system construction instruction, and confirming a crop system construction environment based on the crop rotation system construction instruction, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit; obtaining an estimated mineral distribution set based on the initial planting area; Acquire a reference planting crop set using the initial planting area, wherein the reference planting crop set includes a plurality of reference planting crops; Acquire a marked planted crop set based on the reference planted crop set, wherein the marked planted crop set includes a plurality of marked planted crops, and the marked planted crops correspond one to one with the reference planted crops; Obtaining a current time for planting crops, and obtaining one or more target planting crops in the identified planting crop set based on the current time and the assessed mineral distribution set; After sending the one or more target crops to be planted to the crop feedback unit, confirming receipt of a crop planting confirmation instruction from the crop confirmation unit, parsing the crop planting confirmation instruction, and obtaining M confirmed crops to be planted, where M is an integer greater than or equal to 1; If M is greater than 1, one or more intercropping crop groups are obtained using the M confirmed planted crops, wherein the intercropping crop group includes two confirmed planted crops, and a target intercropping crop group is confirmed based on the one or more intercropping crop groups; If M is equal to 1, the planted crops are confirmed as the target rotation crops, and the target intercropping crop group or the target rotation crops are sent to the initiator of the rotation system construction instruction. When there are confirmed planted crops that have been harvested or target rotation crops in the target intercropping crop group that have been harvested, the process returns to the step of obtaining the evaluation mineral distribution set based on the initial planting area to realize the construction of the crop rotation system.

2. The method for constructing a crop rotation system based on inorganic nutrient content regulation according to claim 1, characterized in that: The step of obtaining an evaluation mineral distribution set based on the initial planting area comprises: Using a pre-constructed area division graph to divide the initial planting area into a plurality of target planting areas, wherein the graphs corresponding to the target planting areas are all smaller than or equal to the area division graph; Based on the multiple target planting areas, multiple mineral detection areas and multiple mineral prediction areas are obtained, and multiple mineral detection points are obtained using the multiple mineral detection areas, wherein the mineral detection point is the center point of the area division figure corresponding to the mineral detection area; Extract mineral detection points from the multiple mineral detection points in sequence, and perform the following operations on the extracted mineral detection points: Acquire a detection mineral set based on the extracted mineral detection points, wherein the detection mineral set includes a plurality of detection minerals, wherein the detection minerals are composed of detection mineral names and detection mineral contents; The detected minerals are summarized based on the names of the detected minerals to obtain multiple analysis mineral sets, and the evaluation mineral distribution set is obtained based on the multiple analysis mineral sets and multiple mineral prediction areas.

3. The method for constructing a crop rotation system based on inorganic nutrient content regulation according to claim 2, characterized in that: The step of obtaining an evaluation mineral distribution set based on the multiple analysis mineral sets and the multiple mineral prediction areas includes: Extract mineral prediction regions from the multiple mineral prediction regions in sequence, and perform the following operations on the extracted mineral prediction regions: Obtaining prediction center coordinates based on the extracted mineral prediction area; Extracting analysis mineral sets from the plurality of analysis mineral sets in sequence, and performing the following operations on the extracted analysis mineral sets: Construct an initial prediction relationship, wherein the initial prediction relationship is as follows: ； in, Indicates the first The fitting mineral content of the fitting mineral corresponding to the detected mineral, Indicates the predicted center coordinates corresponding to the mineral detection area, Indicates the number of mineral detection points The coordinates of the mineral detection points, Indicates the number of mineral detection points indivual, Indicates the concentration of multiple analyzed minerals Mineral Analysis Concentration The content of the tested minerals corresponding to each tested mineral, Represents the prediction coefficient to be confirmed in the initial prediction relationship; Optimizing the initial prediction relationship to obtain an optimized relationship, and calculating the predicted mineral content based on the extracted analysis mineral set, the prediction center coordinates and the optimized relationship; The predicted mineral contents are summarized to obtain a predicted mineral set, and an assessed mineral distribution set is obtained based on the predicted mineral set and multiple analyzed mineral sets.

4. The method for constructing a crop rotation system based on inorganic nutrient content regulation according to claim 3, characterized in that: The step of optimizing the initial prediction relationship to obtain an optimized relationship includes: randomly extracting a plurality of target predicted mineral regions from the plurality of mineral predicted regions, wherein the number of the extracted target predicted mineral regions is preset; Using the multiple target predicted mineral regions, a plurality of target analysis mineral sets are obtained, wherein the target analysis mineral set includes a plurality of target minerals, and the target minerals are composed of target mineral names and target mineral contents; A prediction coefficient set for optimizing an initial prediction relationship is obtained, wherein the prediction coefficient set includes a plurality of prediction coefficients, prediction coefficients are sequentially extracted from the prediction coefficient set, and the following operations are performed on each of the extracted prediction coefficients: Substitute the extracted prediction coefficient into the initial prediction relationship to obtain the analytical prediction relationship, extract the target prediction mineral area from the multiple target prediction mineral areas in sequence, and perform the following operations on the extracted target prediction mineral area: Based on the extracted target prediction mineral region and the analysis prediction relationship, a fitting analysis mineral set is obtained, wherein the fitting analysis mineral set includes a plurality of fitting minerals, wherein the fitting minerals are composed of fitting mineral names and fitting mineral contents, and the fitting minerals are respectively summarized according to the fitting mineral names corresponding to the fitting minerals to obtain a plurality of fitting analysis mineral sets, wherein the fitting analysis mineral sets correspond to the fitting mineral names one by one; A plurality of predicted fitting mineral sets are randomly extracted from the plurality of fitting analysis mineral sets, wherein the number of extracted predicted fitting mineral sets is preset, and a plurality of reference analysis mineral sets are retrieved from the plurality of target analysis mineral sets using the fitting mineral names corresponding to the predicted fitting mineral sets in the plurality of prediction fitting mineral sets, wherein the reference analysis mineral sets correspond one to one to the predicted fitting mineral sets; The optimization relationship is obtained by using the multiple target analysis mineral sets and the multiple reference analysis mineral sets.

5. The method for constructing a crop rotation system based on inorganic nutrient content regulation according to claim 4, characterized in that: The step of obtaining the optimization relationship using the multiple target analysis mineral sets and the multiple reference analysis mineral sets includes: Using the target predicted mineral region corresponding to the target analysis mineral set, the target analysis mineral sets in the multiple target analysis mineral sets are matched with the reference analysis mineral sets in the multiple reference analysis mineral sets to obtain multiple analysis mineral groups; The following operations are performed for each of the multiple analysis mineral groups: Based on the analyzed mineral group, one or more associated mineral groups are obtained and An independent mineral group, wherein the associated mineral group is composed of a fitting mineral and a target mineral, and the fitting mineral name corresponding to the fitting mineral is the same as the target mineral name corresponding to the target mineral. is an integer greater than or equal to 0, and the independent mineral group is composed of fitting minerals or target minerals; Using one or more associated mineral groups, The consistency evaluation value is calculated based on the independent mineral groups and the pre-constructed consistency evaluation relationship, where the consistency evaluation relationship is as follows: ； in, represents the consistency assessment value, Indicates the first The fitted mineral content corresponding to the associated mineral groups, Indicates the first The target mineral content corresponding to each associated mineral group, Indicates the preset coefficients, Indicates shared associated mineral groups, represents the number of independent mineral groups, Indicates the preset coefficients, express The fitted mineral content or target mineral content corresponding to each independent mineral group; The consistency evaluation values ​​are summarized to obtain a consistency evaluation value set, and the target prediction coefficient is confirmed based on the consistency evaluation value set, wherein the target prediction coefficient is the prediction coefficient corresponding to the smallest consistency evaluation value in the consistency evaluation value set, and the target prediction coefficient is used as the prediction coefficient to be confirmed in the initial prediction relationship to obtain the optimization relationship.

6. The method for constructing a crop rotation system based on inorganic nutrient content regulation according to claim 5, characterized in that: The step of obtaining the identified planted crop set based on the reference planted crop set includes: Extract reference planted crops from the reference planted crop set in sequence, and perform the following operations on the extracted reference planted crops: Acquire crop reference information based on the extracted reference planted crops, wherein the crop reference information includes: multiple growth stages, planting reference periods, mineral demand content sets, mineral production content sets, and planting harvest periods of the reference planted crops, wherein the mineral demand content set includes multiple initial demand content range sets, and the initial demand content range sets correspond to the growth stages one by one, and the mineral production content set includes multiple initial production content range sets, and the initial production content range sets correspond to the growth stages one by one; The crop reference information is used to perform an identification operation on the extracted reference planted crops to obtain identified planted crops, and the identified planted crops are summarized to obtain an identified planted crop set.

7. The method for constructing a crop rotation system based on inorganic nutrient content regulation according to claim 6, characterized in that: The step of obtaining one or more target planted crops from the identified planted crops set based on the current time and the assessed mineral distribution set includes: Retrieving a plurality of initially planted crops from the identified planted crops set using the current time, wherein the current time belongs to a planting reference time period corresponding to the initially planted crops; Initially planted crops are sequentially extracted from the plurality of initially planted crops, and the following operations are performed on the extracted initially planted crops: A set of minerals to be regulated is determined according to the mineral demand content set corresponding to the initially planted crops and the evaluated mineral distribution set, wherein the set of minerals to be regulated includes one or more minerals to be regulated, and the minerals to be regulated are composed of the content of the minerals to be regulated and the name of the minerals to be regulated; The evaluation and control value is calculated based on the set of minerals to be controlled and the pre-constructed evaluation and control relationship, wherein the evaluation and control relationship is as follows: ； in, represents the evaluation control value, are all preset coefficients. Indicates the number of minerals to be regulated in the mineral set to be regulated. Indicates the concentration of minerals to be regulated The mineral content to be regulated, Indicates the mineral content set and the a target mineral value corresponding to the mineral content to be regulated, wherein the target mineral value is the maximum or minimum value of the initial required content in the initial required content range, and the absolute difference between the target mineral value and the mineral content to be regulated is the smallest; The evaluation and regulation values ​​are summarized to obtain an evaluation and regulation value set, and one or more target crops for planting are obtained based on the evaluation and regulation value set.

8. The method for constructing a crop rotation system based on inorganic nutrient content regulation according to claim 7, characterized in that: The step of obtaining one or more target crops to be planted based on the evaluation and regulation value set comprises: Performing a sorting operation on the evaluation control values ​​in the evaluation control value set in ascending order of the evaluation control values ​​to obtain an evaluation control sequence; Based on the preset evaluation value, one or more target planting crops are extracted from the evaluation and regulation sequence, wherein the quantity corresponding to the one or more target planting crops is the evaluation value.

9. The method for constructing a crop rotation system based on inorganic nutrient content regulation according to claim 8, characterized in that: The step of identifying a target intercropping crop group based on one or more intercropping crop groups comprises: Sequentially extract intercropping crop groups from the one or more intercropping crop groups, and perform the following operations on the extracted intercropping crop groups: Acquire a reference regulation set based on the extracted intercropping crop group, wherein the reference regulation set includes a plurality of reference regulation values; The comprehensive intercropping evaluation value is calculated based on the reference control set and the pre-constructed comprehensive intercropping evaluation relationship, where the comprehensive intercropping evaluation relationship is as follows: ； in, represents the comprehensive intercropping assessment value, Indicates the reference control set A reference control value, Indicates the total number of reference control sets A reference control value, Indicates that at the same time, the mineral production content set corresponding to the first confirmed crop of two crops and the mineral demand content set corresponding to the second confirmed crop share The minerals intersect. Indicates that at the same time, the mineral production content set corresponding to the second confirmed crop of two crops and the mineral demand content set corresponding to the first confirmed crop share The minerals intersect; The comprehensive intercropping assessment values ​​are summarized to obtain a comprehensive intercropping assessment value set, and a target intercropping crop group is obtained based on the comprehensive intercropping assessment value set, wherein the target intercropping crop group is the intercropping crop group corresponding to the largest comprehensive intercropping assessment value in the comprehensive intercropping assessment value set.

10. A device for constructing a crop rotation system based on inorganic nutrient content regulation, characterized in that: The device comprises: A crop rotation environment confirmation module, used for receiving a crop rotation system construction instruction, and confirming a crop system construction environment based on the crop rotation system construction instruction, wherein the crop system construction environment includes: an initial planting area and a crop rotation system construction system for constructing a crop rotation system in the initial planting area, wherein the crop rotation system construction system includes: a crop feedback unit and a crop confirmation unit; A target planting crop acquisition module, used for acquiring an evaluation mineral distribution set based on the initial planting area; Acquire a reference planting crop set using the initial planting area, wherein the reference planting crop set includes a plurality of reference planting crops; Acquire a marked planted crop set based on the reference planted crop set, wherein the marked planted crop set includes a plurality of marked planted crops, and the marked planted crops correspond one to one with the reference planted crops; Obtaining a current time for planting crops, and obtaining one or more target planting crops in the identified planting crop set based on the current time and the assessed mineral distribution set; A confirmed crop planting acquisition module is used for, after sending the one or more target crops to be planted to the crop feedback unit, confirming receipt of a confirmed crop planting instruction from the crop confirmation unit, parsing the confirmed crop planting instruction, and obtaining M confirmed crops to be planted, wherein M is an integer greater than or equal to 1; A crop rotation system construction module, for, if M is greater than 1, obtaining one or more intercropping crop groups using M confirmed planted crops, wherein the intercropping crop group includes two confirmed planted crops, and confirming a target intercropping crop group based on the one or more intercropping crop groups; If M is equal to 1, the planted crops are confirmed as the target rotation crops, and the target intercropping crop group or the target rotation crops are sent to the initiator of the rotation system construction instruction. When there are confirmed planted crops that have been harvested or target rotation crops in the target intercropping crop group that have been harvested, the process returns to the step of obtaining the evaluation mineral distribution set based on the initial planting area to realize the construction of the crop rotation system.

Images