Ecological multi-dimensional prevention and control method and system for corn

Abstract

The invention discloses a corn ecological multi-dimensional prevention and control method and system, a corn growth data set and a pest data set are matched, pest distribution positions are defined according to the pest data set, and a corn growth state diagram is defined according to the corn growth data set. Further, a disease and pest control dynamic graph is constructed based on the pest distribution position and the corn growth state graph; constructing a dynamic management and control system of the corn ecosphere according to the disease and pest control dynamic graph and the soil state graph; in the dynamic management and control system, the variable quantity of the disease and pest dimension and the variable quantity of the growth state of the corn in the disease and pest prevention and control dynamic graph are dynamically monitored, and adjustment of working parameters of the corn interaction equipment in the corn ecosphere is triggered according to the variable quantity of the disease and pest dimension, the variable quantity of the growth state of the corn and the variable quantity of the soil dimension. The multi-dimensional prevention and control of each corn interaction device on the corn ecosphere is realized, so that the multi-dimensional prevention and control effect of the corn ecosphere is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of corn ecosystem, and in particular to a multi-dimensional corn ecosystem prevention and control method and system. Background Art

[0002] With the development of science and technology, corn is used as a crop and is planted in large quantities by farmers. Corn is planted in batches and forms corn fields. At this time, a corn ecosystem is formed according to the area where the corn fields are located. Sampling inspections are carried out on the corn ecosystem, but the accuracy of the pest distribution location and the corn growth status map cannot be guaranteed. The changes in the pest and disease dimensions, the changes in the growth status of corn, and the changes in the soil dimensions cannot be controlled, which affects the multi-dimensional prevention and control effects of the corn ecosystem. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a multi-dimensional corn ecological prevention and control method and system, which forms a corn ecosphere according to the area where the corn field is located; forms multiple corn test areas based on the division of the corn ecosphere; collects corresponding corn growth data sets and corresponding pest data sets based on the synchronous detection of multiple corn test areas; matches the corn growth data set and the pest data set, defines the pest distribution position according to the pest data set, defines the growth status diagram of the corn according to the corn growth data set, introduces the pest distribution position and the growth status diagram of the corn, thereby accurately controlling the pest distribution position and the growth status diagram of the corn, and ensuring the accuracy of the pest distribution position and the growth status diagram of the corn.

[0004] Furthermore, a pest control dynamic map is constructed based on the pest distribution location and the corn growth status map; a dynamic management and control system of the corn ecosystem is constructed based on the pest control dynamic map and the soil status map; in the dynamic management and control system, the changes in the pest and disease dimension and the growth status of corn in the pest and disease control dynamic map are dynamically monitored, and the adjustment of the working parameters of the corn interactive devices in the corn ecosystem is triggered according to the changes in the pest and disease dimension, the growth status of corn, and the soil dimension. The dynamic management and control of the dynamic management and control system is compatible, and multi-dimensional control is performed on the changes in the pest and disease dimension, the growth status of corn, and the soil dimension, thereby ensuring the accuracy of the adjustment of the working parameters of the corn interactive devices, and realizing the multi-dimensional prevention and control of the corn ecosystem by each corn interactive device, so as to ensure the multi-dimensional prevention and control effect of the corn ecosystem.

[0005] The embodiment of the present invention provides a corn ecological multi-dimensional prevention and control method, which is applied to the corn ecological multi-dimensional prevention and control scenario;

[0006] The corn ecological multi-dimensional prevention and control method comprises:

[0007] The corn ecosphere is formed according to the area where the corn field is located;

[0008] Based on the division of corn ecosphere, multiple corn testing areas are formed;

[0009] Collecting corresponding corn growth data sets and corresponding pest data sets according to synchronous detection of multiple corn test areas;

[0010] Matching a corn growth data set and a pest data set, defining pest distribution locations according to the pest data set, and defining a corn growth state diagram according to the corn growth data set;

[0011] Build a dynamic pest control map based on the pest distribution location and corn growth status map; build a dynamic control system for the corn ecosystem based on the pest control dynamic map and soil status map;

[0012] In this dynamic management and control system, the changes in the pest and disease dimension and the changes in the growth status of corn in the pest and disease control dynamic diagram are dynamically monitored, and the adjustment of the working parameters of the corn interactive equipment in the corn ecosystem is triggered according to the changes in the pest and disease dimension, the growth status of corn and the soil dimension.

[0013] Optionally, forming a corn ecosphere according to the area where the corn field is located includes:

[0014] Collect the location of the corn field;

[0015] Defining the area where the corn field is located based on the traversal of the location of the corn field;

[0016] Locate the area where the cornfield is located;

[0017] A plurality of edge data are defined based on the positioning detection of the area where the corn field is located;

[0018] An edge track is defined according to a plurality of edge data, and a corn ecosystem is constructed based on each edge track and the plurality of edge data.

[0019] Optionally, the multiple corn test areas are formed based on the division of the corn ecosphere, including:

[0020] Freeze the corn ecosystem;

[0021] Multiple detection points are defined based on the positioning detection of the corn ecosystem;

[0022] Defining a detection dimension based on data detected by multiple detection points;

[0023] Associating the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model;

[0024] Defining multiple sub-regions according to the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model;

[0025] Multiple corn testing areas are constructed according to multiple sub-areas and separation positions in the corn ecosphere.

[0026] Optionally, the collecting of corresponding corn growth data sets and corresponding pest data sets according to the synchronous detection of multiple corn test areas includes:

[0027] Freeze the corn area to be tested;

[0028] Multiple tests are performed in the up-down direction and the left-right direction according to multiple corn test areas;

[0029] The difficulty of detecting multiple corn test areas is controlled based on multiple detections in the up and down directions and the left and right directions;

[0030] Associate the detection difficulty and corresponding detection methods of multiple corn test areas;

[0031] Triggering simultaneous detection of multiple corn test areas based on the detection difficulty and corresponding detection methods of multiple corn test areas;

[0032] Based on the synchronous detection of multiple corn test areas, the corresponding corn growth data set and the corresponding pest data set are collected. At this time, each corn test area contains the corresponding corn growth data set and the corresponding pest data set.

[0033] Optionally, matching the corn growth data set and the pest data set, defining pest distribution locations according to the pest data set, and defining a growth state diagram of corn according to the corn growth data set includes:

[0034] In each corn test area, a corn growth data set and a pest data set are collected;

[0035] Associating a corn growth data set with an insect pest data set;

[0036] Dynamically matching corn growth data sets and pest data sets;

[0037] Based on the pest data set and the pest data analysis model, the corresponding pest distribution locations are defined, and the pest distribution areas are constructed according to the respective pest distribution locations;

[0038] Based on the corn growth data set and the corn data analysis model, the corresponding corn growth status data is defined, and a corn growth status data graph is constructed according to the corn growth status data.

[0039] Optionally, the method of constructing a pest control dynamic map based on the pest distribution location and the corn growth status map; and constructing a dynamic management and control system of the corn ecosystem based on the pest control dynamic map and the soil status map includes:

[0040] Freeze the distribution of pests and the growth status of corn;

[0041] Correlate the distribution location of pests and the growth status of corn;

[0042] A dynamic diagram of pest and disease control is constructed based on the pest distribution location and corn growth status diagram.

[0043] Optionally, the step of constructing a pest control dynamic map based on the pest distribution location and the corn growth status map; and constructing a dynamic management and control system for the corn ecosystem based on the pest control dynamic map and the soil status map further includes:

[0044] Real-time monitoring of pest control dynamic graph;

[0045] Collect soil status diagrams and dynamically interact with soil status diagrams and pest control dynamic diagrams;

[0046] A dynamic management and control system for the corn ecosystem is constructed based on the dynamic interaction of the soil status map and the pest and disease control dynamic map.

[0047] Optionally, in the dynamic management and control system, the change amount of the pest dimension and the change amount of the growth state of corn in the pest control dynamic graph are dynamically monitored, and the adjustment of the working parameters of the corn interactive device in the corn ecosystem is triggered according to the change amount of the pest dimension, the change amount of the growth state of corn and the change amount of the soil dimension, including:

[0048] Freeze the dynamic control system;

[0049] In this dynamic management and control system, various change data are collected based on the dynamic monitoring of the pest control dynamic graph;

[0050] Based on the matching of various change data, the change amount of the pest and disease dimension in the pest and disease control dynamic graph and the change amount of the growth state of corn are defined.

[0051] Optionally, in the dynamic management and control system, the change amount of the pest dimension and the change amount of the growth state of corn in the pest control dynamic graph are dynamically monitored, and the adjustment of the working parameters of the corn interactive device in the corn ecosystem is triggered according to the change amount of the pest dimension, the change amount of the growth state of corn and the change amount of the soil dimension, and also includes:

[0052] The changes in the associated pest and disease dimensions, the changes in the growth status of corn, and the changes in the soil dimension of the soil status diagram;

[0053] Define change events based on the change in pest and disease dimensions, the change in corn growth status, and the change in soil dimensions;

[0054] The adjustment of the working parameters of the corn interactive devices in the corn ecosystem is triggered according to the change event.

[0055] In addition, an embodiment of the present invention further provides a corn ecological multi-dimensional prevention and control system, the corn ecological multi-dimensional prevention and control system comprising:

[0056] The corn ecosphere module is used to form a corn ecosphere according to the area where the corn field is located;

[0057] The corn test area module is used to form a corn ecosystem based on the area where the corn field is located;

[0058] A data collection module, used for collecting corresponding corn growth data sets and corresponding pest data sets according to synchronous detection of multiple corn test areas;

[0059] A growth state diagram module is used to match a corn growth data set and a pest data set, define pest distribution locations according to the pest data set, and define a corn growth state diagram according to the corn growth data set;

[0060] Dynamic management and control system module, used to build a dynamic map of pest control based on the distribution of pests and the growth status of corn; and to build a dynamic management and control system for the corn ecosystem based on the dynamic map of pest control and the soil status map;

[0061] The parameter adjustment module is used to dynamically monitor the changes in the pest and disease dimension and the growth status of corn in the pest and disease control dynamic diagram in the dynamic management and control system, and trigger the adjustment of the working parameters of the corn interactive equipment in the corn ecosystem according to the changes in the pest and disease dimension, the growth status of corn and the soil dimension.

[0062] In an embodiment of the present invention, through the method in the embodiment of the present invention, a corn ecosphere is formed according to the area where the corn field is located; multiple corn test areas are formed based on the division of the corn ecosphere; corresponding corn growth data sets and corresponding pest data sets are collected based on the synchronous detection of multiple corn test areas; the corn growth data set and the pest data set are matched, the pest distribution position is defined according to the pest data set, and the growth status map of corn is defined according to the corn growth data set, and the pest distribution position and the growth status map of corn are introduced, so as to accurately control the pest distribution position and the growth status map of corn, thereby ensuring the accuracy of the pest distribution position and the growth status map of corn.

[0063] Furthermore, a pest control dynamic map is constructed based on the pest distribution location and the corn growth status map; a dynamic management and control system of the corn ecosystem is constructed based on the pest control dynamic map and the soil status map; in the dynamic management and control system, the changes in the pest and disease dimension and the growth status of corn in the pest and disease control dynamic map are dynamically monitored, and the adjustment of the working parameters of the corn interactive devices in the corn ecosystem is triggered according to the changes in the pest and disease dimension, the growth status of corn, and the soil dimension. The dynamic management and control of the dynamic management and control system is compatible, and multi-dimensional control is performed on the changes in the pest and disease dimension, the growth status of corn, and the soil dimension, thereby ensuring the accuracy of the adjustment of the working parameters of the corn interactive devices, and realizing the multi-dimensional prevention and control of the corn ecosystem by each corn interactive device, so as to ensure the multi-dimensional prevention and control effect of the corn ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0065] Figure 1 : is a schematic diagram of the process of the multi-dimensional corn ecological prevention and control method in an embodiment of the present invention;

[0066] Figure 2 It is a flow chart of S11 in the corn ecological multi-dimensional prevention and control method in an embodiment of the present invention;

[0067] Figure 3 is a flow chart of S12 in the corn ecological multi-dimensional prevention and control method in an embodiment of the present invention;

[0068] Figure 4 is a schematic flow chart of S13 in the corn ecological multi-dimensional prevention and control method in an embodiment of the present invention;

[0069] Figure 5 is a flow chart of S14 in the corn ecological multi-dimensional prevention and control method in an embodiment of the present invention;

[0070] Figure 6 is a schematic flow chart of S15 in the corn ecological multi-dimensional prevention and control method in an embodiment of the present invention;

[0071] Figure 7 is a flow chart of S16 in the corn ecological multi-dimensional prevention and control method in an embodiment of the present invention;

[0072] Figure 8Schematic diagram of the structure of the corn ecological multi-dimensional prevention and control system in an embodiment of the present invention;

[0073] Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0074] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] See also Figures 1 to 9 , a corn ecological multi-dimensional prevention and control method, applied to corn ecological multi-dimensional prevention and control scenarios; the corn ecological multi-dimensional prevention and control method includes:

[0076] Step S11: forming a corn ecosystem according to the area where the corn field is located;

[0077] Step S12: forming a plurality of corn test areas based on the division of the corn ecosphere;

[0078] Step S13: collecting corresponding corn growth data sets and corresponding pest data sets according to the synchronous detection of multiple corn test areas;

[0079] Step S14: matching the corn growth data set and the pest data set, defining the pest distribution location according to the pest data set, and defining the corn growth state diagram according to the corn growth data set;

[0080] Step S15: constructing a pest control dynamic map based on the pest distribution location and the corn growth status map; constructing a dynamic control system for the corn ecosystem based on the pest control dynamic map and the soil status map;

[0081] Step S16: In the dynamic management and control system, the changes in the pest and disease dimension and the changes in the growth status of corn in the pest and disease control dynamic diagram are dynamically monitored, and the adjustment of the working parameters of the corn interactive equipment in the corn ecosystem is triggered according to the changes in the pest and disease dimension, the growth status of corn and the soil dimension.

[0082] In an embodiment of the present invention, through the method in the embodiment of the present invention, a corn ecosphere is formed according to the area where the corn field is located; multiple corn test areas are formed based on the division of the corn ecosphere; corresponding corn growth data sets and corresponding pest data sets are collected based on the synchronous detection of multiple corn test areas; the corn growth data set and the pest data set are matched, the pest distribution position is defined according to the pest data set, and the growth status map of corn is defined according to the corn growth data set, and the pest distribution position and the growth status map of corn are introduced, so as to accurately control the pest distribution position and the growth status map of corn, thereby ensuring the accuracy of the pest distribution position and the growth status map of corn.

[0083] Furthermore, a pest control dynamic map is constructed based on the pest distribution location and the corn growth status map; a dynamic management and control system of the corn ecosystem is constructed based on the pest control dynamic map and the soil status map; in the dynamic management and control system, the changes in the pest and disease dimension and the growth status of corn in the pest and disease control dynamic map are dynamically monitored, and the adjustment of the working parameters of the corn interactive devices in the corn ecosystem is triggered according to the changes in the pest and disease dimension, the growth status of corn, and the soil dimension. The dynamic management and control of the dynamic management and control system is compatible, and multi-dimensional control is performed on the changes in the pest and disease dimension, the growth status of corn, and the soil dimension, thereby ensuring the accuracy of the adjustment of the working parameters of the corn interactive devices, and realizing the multi-dimensional prevention and control of the corn ecosystem by each corn interactive device, so as to ensure the multi-dimensional prevention and control effect of the corn ecosystem.

[0084] refer to Figure 2 , in step S11, a corn ecosphere is formed according to the area where the corn field is located;

[0085] In the specific implementation process of the present invention, the specific steps may be:

[0086] S111: The location of the corn field plots was collected;

[0087] S112: defining an area where the corn field is located based on traversing the location of the corn field;

[0088] S113: Locate the area where the corn field is located;

[0089] S114: defining a plurality of edge data based on the positioning detection of the area where the corn field is located;

[0090] S115: defining edge tracks according to the plurality of edge data, and constructing a corn ecosystem based on each edge track and the plurality of edge data.

[0091] In an embodiment of the present application, the location of the corn field is collected, and the location of the corn field is controlled, so that the area where the corn field is located is defined based on the traversal of the location of the corn field, and the area where the corn field is located is introduced to locate the area where the corn field is located, so as to facilitate further processing of the area where the corn field is located.

[0092] Therefore, the area where the corn field is located is frozen, and positioning detection is performed on the area where the corn field is located, so as to define multiple edge data based on the positioning detection of the area where the corn field is located, thereby realizing the control of multiple edge data, and thus performing multi-dimensional control of the multiple edge data, and then defining edge trajectories based on the multiple edge data, and constructing a corn ecosystem based on each edge trajectory and multiple edge data, which is compatible with the overall control of each edge trajectory and multiple edge data, realizing multi-dimensional control of each edge trajectory and multiple edge data, and ensuring the accuracy of the corn ecosystem.

[0093] refer to Figure 3 , in step S12, a plurality of corn test areas are formed based on the division of the corn ecosphere;

[0094] In the specific implementation process of the present invention, the specific steps may be:

[0095] S121: Freeze the corn ecosystem;

[0096] S122: defining a plurality of detection points according to the positioning detection of the corn ecosystem;

[0097] S123: defining a detection dimension based on data detected by the plurality of detection points;

[0098] S124: Associating the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model;

[0099] S125: defining a plurality of sub-regions according to the detection dimensions corresponding to the plurality of detection points, the positions corresponding to the plurality of detection points, and the region learning model;

[0100] S126: Construct multiple corn test areas according to the multiple sub-areas and the separation positions in the corn ecosystem.

[0101] In an embodiment of the present application, the corn ecosystem is frozen, and multiple detection points are defined based on the positioning detection of the corn ecosystem. The multiple detection points are matched based on the corn ecosystem, and the multiple detection points are reasonably allocated, thereby ensuring the position accuracy of the multiple detection points.

[0102] At this time, detection dimensions are defined based on the data detected by multiple detection points, and the data dimensions are controlled for the data detected by the multiple detection points, and the corresponding detection dimensions are introduced. At the same time, the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model are associated, and the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model are controlled as a whole. Optionally, the regional learning model is trained based on previous regional data.

[0103] Therefore, multiple sub-regions are defined according to the detection dimensions corresponding to multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model, which is compatible with the overall consideration of the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model, ensures the multi-dimensional control of the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model, and ensures the rationality of the distribution of the multiple sub-regions, so as to facilitate further control of the multiple sub-regions.

[0104] Furthermore, multiple corn test areas are constructed according to multiple sub-areas and separation positions in the corn ecosystem, and deep interaction is performed on the multiple sub-areas and separation positions in the corn ecosystem, thereby performing multi-dimensional control based on the multiple sub-areas and separation positions in the corn ecosystem, ensuring the reasonable distribution of the multiple corn test areas, facilitating synchronous testing of the multiple corn test areas, and facilitating overall control of the corn ecosystem.

[0105] refer to Figure 4 In step S13, in the floor cleaning space, a corresponding corn growth data set and a corresponding pest data set are collected according to synchronous detection of multiple corn test areas;

[0106] In the specific implementation process of the present invention, the specific steps may be:

[0107] S131: freeze the corn test area;

[0108] S132: performing multiple tests in the up-down direction and the left-right direction according to the multiple corn test areas;

[0109] S133: Controlling the detection difficulty of multiple corn test areas based on multiple detections in the up-down direction and the left-right direction;

[0110] S134: Associating the detection difficulty of multiple corn test areas and corresponding detection methods;

[0111] S135: triggering synchronous detection of multiple corn test areas based on the detection difficulty of multiple corn test areas and corresponding detection methods;

[0112] S136: Based on the synchronous detection of multiple corn test areas, corresponding corn growth data sets and corresponding pest data sets are collected. At this time, each corn test area contains a corresponding corn growth data set and a corresponding pest data set.

[0113] In an embodiment of the present application, a corn area to be tested is frozen, and the corn area to be tested is controlled, so that multiple detections in the up and down directions and the left and right directions are performed on multiple corn areas to be tested, and multiple detections in the up and down directions and the left and right directions are introduced, so that multiple corn areas to be tested are detected simultaneously, and then the detection difficulty of multiple corn areas to be tested is controlled based on the multiple detections in the up and down directions and the left and right directions, and the detection difficulty of multiple corn areas to be tested is introduced, so that targeted detection of multiple corn areas to be tested is achieved.

[0114] Therefore, the detection difficulty and corresponding detection method of multiple corn areas to be tested are associated, and the detection difficulty and corresponding detection method of multiple corn areas to be tested are controlled as a whole, so as to trigger synchronous detection of multiple corn areas to be tested based on the detection difficulty and corresponding detection method of multiple corn areas to be tested, and then collect corresponding corn growth data sets and corresponding pest data sets based on the synchronous detection of multiple corn areas to be tested. At this time, each corn area to be tested contains a corresponding corn growth data set and a corresponding pest data set, and the corn growth data set and the corresponding pest data set of each corn area to be tested are managed and controlled, so as to evaluate the disease and insect control effect of the corn area to be tested on the corn growth data set and the corresponding pest data set.

[0115] refer to Figure 5 , S14: matching the corn growth data set and the pest data set, defining the pest distribution location according to the pest data set, and defining the corn growth state diagram according to the corn growth data set;

[0116] In the specific implementation process of the present invention, the specific steps may be:

[0117] S141: In each corn test area, collecting corn growth data sets and pest data sets;

[0118] S142: Associating the corn growth data set and the pest data set;

[0119] S143: Dynamically matching the corn growth data set and the pest data set;

[0120] S144: Define corresponding pest distribution locations based on the pest data set and the pest data analysis model, and construct pest distribution areas according to the respective pest distribution locations; define corresponding corn growth status data based on the corn growth data set and the corn data analysis model, and construct a corn growth status data graph according to the corn growth status data.

[0121] In an embodiment of the present application, a corn ecosphere is formed according to the area where a corn field is located; a plurality of corn test areas are formed based on the division of the corn ecosphere; a corresponding corn growth data set and a corresponding pest data set are collected based on the synchronous detection of the plurality of corn test areas; the corn growth data set and the pest data set are matched, the pest distribution position is defined according to the pest data set, the growth status diagram of the corn is defined according to the corn growth data set, and the pest distribution position and the growth status diagram of the corn are introduced, so as to accurately control the pest distribution position and the growth status diagram of the corn, thereby ensuring the accuracy of the pest distribution position and the growth status diagram of the corn.

[0122] At this time, in each corn test area, corn growth data set and pest data set are collected, and the corn growth data set and pest data set are introduced, so as to associate the corn growth data set and the pest data set, so as to facilitate dynamic matching of the corn growth data set and the pest data set, thereby ensuring the matching accuracy of the corn growth data set and the pest data set.

[0123] Therefore, the corresponding pest distribution locations are defined based on the pest data set and the pest data analysis model, and the pest distribution areas are constructed according to each pest distribution location, realizing the overall management and control of each pest distribution location, so as to facilitate multi-dimensional control of each pest distribution location and ensure the accuracy of the pest distribution area.

[0124] Based on the corn growth data set and the corn data analysis model, the corresponding corn growth status data is defined, and the corn growth status data graph is constructed according to the corn growth status data. The pest distribution location and the corn growth status graph are introduced, so as to accurately control the pest distribution location and the corn growth status graph, ensuring the accuracy of the pest distribution location and the corn growth status graph.

[0125] refer to Figure 6 , S15: construct a pest control dynamic map based on the pest distribution location and the corn growth status map; construct a dynamic control system of the corn ecosystem based on the pest control dynamic map and the soil status map;

[0126] In the specific implementation process of the present invention, the specific steps may be:

[0127] S151: freeze-frame pest distribution and corn growth status map;

[0128] S152: Correlation between pest distribution location and corn growth status map;

[0129] S153: Construct a pest control dynamic map based on the pest distribution location and corn growth status map;

[0130] S154: Real-time monitoring of pest control dynamic chart;

[0131] S155: Collect soil status map, and dynamically interact with soil status map and pest control dynamic map;

[0132] S156: Construct a dynamic management and control system for the corn ecosystem based on the dynamic interaction of the soil status map and the pest and disease control dynamic map.

[0133] In an embodiment of the present application, a pest distribution position and a growth status graph of corn are frozen, and a pest distribution position and a growth status graph of corn are introduced, thereby associating the pest distribution position and the growth status graph of corn, and dynamic interaction is performed on the pest distribution position and the growth status graph of corn, so as to construct a pest control dynamic graph based on the pest distribution position and the growth status graph of corn, and a pest control dynamic graph is introduced, so as to perform subsequent processing on the pest control dynamic graph.

[0134] Therefore, the pest control dynamic map is monitored in real time; the soil status map is collected, and the soil status map and the pest control dynamic map are dynamically interacted; according to the dynamic interaction of the soil status map and the pest control dynamic map, a dynamic management and control system of the corn ecosystem is constructed, which is compatible with the soil status map and the pest control dynamic map, and the dynamic interaction of the soil status map and the pest control dynamic map is realized, so as to ensure the accuracy of the dynamic management and control system of the corn ecosystem.

[0135] refer to Figure 7 , S16: In the dynamic management and control system, the change amount of the pest dimension and the change amount of the growth state of corn in the pest control dynamic graph are dynamically monitored, and the adjustment of the working parameters of the corn interactive device in the corn ecosystem is triggered according to the change amount of the pest dimension, the change amount of the growth state of corn and the change amount of the soil dimension;

[0136] In the specific implementation process of the present invention, the specific steps may be:

[0137] S161: freeze the dynamic control system;

[0138] S162: In the dynamic control system, various change data are collected based on the dynamic monitoring of the pest control dynamic graph;

[0139] S163: defining the change amount of the pest dimension in the pest control dynamic graph and the change amount of the growth state of corn based on the matching of each change data;

[0140] S164: the change in the associated pest dimension, the change in the growth state of corn, and the change in the soil dimension of the soil state diagram;

[0141] S165: define change events according to the change amount of pest and disease dimension, the change amount of corn growth state and the change amount of soil dimension;

[0142] S166: Triggering adjustment of working parameters of the corn interactive device in the corn ecosystem according to the change event.

[0143] In the specific implementation process of the present invention, a pest control dynamic map is constructed based on the pest distribution position and the corn growth status map; a dynamic management and control system of the corn ecosystem is constructed according to the pest control dynamic map and the soil status map; in the dynamic management and control system, the change amount of the pest dimension and the change amount of the growth status of corn in the pest control dynamic map are dynamically monitored, and the adjustment of the working parameters of the corn interactive device in the corn ecosystem is triggered according to the change amount of the pest dimension, the change amount of the growth status of corn and the change amount of the soil dimension, which is compatible with the dynamic management and control of the dynamic management and control system, and multi-dimensional control is performed on the change amount of the pest dimension, the change amount of the growth status of corn and the change amount of the soil dimension, thereby ensuring the accuracy of the adjustment of the working parameters of the corn interactive device, and realizing the multi-dimensional prevention and control of the corn ecosystem by each corn interactive device, so as to ensure the multi-dimensional prevention and control effect of the corn ecosystem.

[0144] At this time, the dynamic control system is frozen, introduced, and controlled. At the same time, in the dynamic control system, various change data are collected based on the dynamic monitoring of the pest control dynamic graph; the change amount of the pest dimension in the pest control dynamic graph and the change amount of the growth status of corn are defined based on the matching of various change data, the change amount of the pest dimension in the pest control dynamic graph and the change amount of the growth status of corn are introduced, and the subsequent control of the change amount of the pest dimension in the pest control dynamic graph and the change amount of the growth status of corn is realized.

[0145] Therefore, the change in the pest and disease dimension, the change in the growth state of corn, and the change in the soil dimension of the soil state diagram are associated, so as to define change events based on the change in the pest and disease dimension, the change in the growth state of corn, and the change in the soil dimension, which is compatible with the overall consideration of the change in the pest and disease dimension, the change in the growth state of corn, and the change in the soil dimension, and realizes multi-dimensional control of the change in the pest and disease dimension, the change in the growth state of corn, and the change in the soil dimension, ensuring the accuracy of the change event, so as to carry out subsequent control of the change event, and then trigger the adjustment of the working parameters of the corn interactive device in the corn ecosystem according to the change event, which is compatible with the dynamic control of the dynamic control system, and performs multi-dimensional control on the change in the pest and disease dimension, the change in the growth state of corn, and the change in the soil dimension, ensuring the accuracy of the adjustment of the working parameters of the corn interactive device, and realizing the multi-dimensional prevention and control of the corn ecosystem by each corn interactive device, so as to ensure the multi-dimensional prevention and control effect of the corn ecosystem.

[0146] In an embodiment of the present invention, through the method in the embodiment of the present invention, a corn ecosphere is formed according to the area where the corn field is located; multiple corn test areas are formed based on the division of the corn ecosphere; corresponding corn growth data sets and corresponding pest data sets are collected based on the synchronous detection of multiple corn test areas; the corn growth data set and the pest data set are matched, the pest distribution position is defined according to the pest data set, and the growth status map of corn is defined according to the corn growth data set, and the pest distribution position and the growth status map of corn are introduced, so as to accurately control the pest distribution position and the growth status map of corn, thereby ensuring the accuracy of the pest distribution position and the growth status map of corn.

[0147] Furthermore, a pest control dynamic map is constructed based on the pest distribution location and the corn growth status map; a dynamic management and control system of the corn ecosystem is constructed based on the pest control dynamic map and the soil status map; in the dynamic management and control system, the changes in the pest and disease dimension and the growth status of corn in the pest and disease control dynamic map are dynamically monitored, and the adjustment of the working parameters of the corn interactive devices in the corn ecosystem is triggered according to the changes in the pest and disease dimension, the growth status of corn, and the soil dimension. The dynamic management and control of the dynamic management and control system is compatible, and multi-dimensional control is performed on the changes in the pest and disease dimension, the growth status of corn, and the soil dimension, thereby ensuring the accuracy of the adjustment of the working parameters of the corn interactive devices, and realizing the multi-dimensional prevention and control of the corn ecosystem by each corn interactive device, so as to ensure the multi-dimensional prevention and control effect of the corn ecosystem.

[0148] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of the corn ecological multi-dimensional prevention and control system in an embodiment of the present invention.

[0149] like Figure 8 As shown, a corn ecological multi-dimensional prevention and control system, the corn ecological multi-dimensional prevention and control system comprises:

[0150] A corn ecosystem module 21 is used to form a corn ecosystem according to the area where the corn field is located;

[0151] A corn test area module 22 is used to form a plurality of corn test areas based on the division of the corn ecosystem;

[0152] A data collection module 23, for collecting corresponding corn growth data sets and corresponding pest data sets according to the synchronous detection of multiple corn test areas;

[0153] A growth state diagram module 24 is used to match a corn growth data set and a pest data set, define pest distribution locations according to the pest data set, and define a corn growth state diagram according to the corn growth data set;

[0154] The dynamic control system module 25 is used to construct a pest control dynamic map based on the pest distribution location and the corn growth state map; and to construct a dynamic control system for the corn ecosystem based on the pest control dynamic map and the soil state map;

[0155] The parameter adjustment module 26 is used to dynamically monitor the changes in the pest and disease dimension and the changes in the growth status of corn in the pest and disease control dynamic diagram in the dynamic management and control system, and trigger the adjustment of the working parameters of the corn interactive equipment in the corn ecosystem according to the changes in the pest and disease dimension, the growth status of corn and the soil dimension.

[0156] See also Fig. 9 , refer to the following Fig. 9 The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0157] like Fig. 9 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0158] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0159] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0160] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0161] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0162] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0163] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a multi-parameter sensor device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0164] Those skilled in the art can understand that all or some of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0165] In addition, the above is a detailed introduction to the corn ecological multi-dimensional prevention and control method and system provided in the embodiments of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; for general technical personnel in this field, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A multi-dimensional corn ecological prevention and control method, characterized in that: Applied to multi-dimensional prevention and control scenarios of corn ecology; The corn ecological multi-dimensional prevention and control method comprises: The corn ecosphere is formed according to the area where the corn field is located; Based on the division of corn ecosphere, multiple corn testing areas are formed; Collecting corresponding corn growth data sets and corresponding pest data sets according to synchronous detection of multiple corn test areas; Matching a corn growth data set and a pest data set, defining pest distribution locations according to the pest data set, and defining a corn growth state diagram according to the corn growth data set; Build a dynamic pest control map based on the pest distribution location and corn growth status map; build a dynamic control system for the corn ecosystem based on the pest control dynamic map and soil status map; In this dynamic management and control system, the changes in the pest and disease dimension and the changes in the growth status of corn in the pest and disease control dynamic diagram are dynamically monitored, and the adjustment of the working parameters of the corn interactive equipment in the corn ecosystem is triggered according to the changes in the pest and disease dimension, the growth status of corn and the soil dimension.

2. The corn ecological multi-dimensional prevention and control method according to claim 1, characterized in that: The forming of a corn ecosphere according to the area where the corn field is located includes: Collect the location of the corn field; Defining the area where the corn field is located based on the traversal of the location of the corn field; Locate the area where the cornfield is located; A plurality of edge data are defined based on the positioning detection of the area where the corn field is located; An edge track is defined according to a plurality of edge data, and a corn ecosystem is constructed based on each edge track and the plurality of edge data.

3. The corn ecological multi-dimensional prevention and control method according to claim 2, characterized in that: The multiple corn testing areas are formed based on the division of the corn ecosystem, including: Freeze the corn ecosystem; Multiple detection points are defined based on the positioning detection of the corn ecosystem; Defining a detection dimension based on data detected by multiple detection points; Associating the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model; Defining multiple sub-regions according to the detection dimensions corresponding to the multiple detection points, the positions corresponding to the multiple detection points, and the regional learning model; Multiple corn testing areas are constructed according to multiple sub-areas and separation positions in the corn ecosphere.

4. The corn ecological multi-dimensional prevention and control method according to claim 3, characterized in that: The method of collecting corresponding corn growth data sets and corresponding pest data sets according to the synchronous detection of multiple corn test areas includes: Freeze the corn area to be tested; Multiple tests are performed in the up-down direction and the left-right direction according to multiple corn test areas; The difficulty of detecting multiple corn test areas is controlled based on multiple detections in the up and down directions and the left and right directions; Associate the detection difficulty and corresponding detection methods of multiple corn test areas; Triggering simultaneous detection of multiple corn test areas based on the detection difficulty and corresponding detection methods of multiple corn test areas; Based on the synchronous detection of multiple corn test areas, the corresponding corn growth data set and the corresponding pest data set are collected. At this time, each corn test area contains the corresponding corn growth data set and the corresponding pest data set.

5. The corn ecological multi-dimensional prevention and control method according to claim 4, characterized in that: The matching of the corn growth data set and the pest data set, defining the pest distribution position according to the pest data set, and defining the growth state diagram of the corn according to the corn growth data set, includes: In each corn test area, a corn growth data set and a pest data set are collected; Associating a corn growth data set with an insect pest data set; Dynamically matching corn growth data sets and pest data sets; Based on the pest data set and the pest data analysis model, the corresponding pest distribution positions are defined, and the pest distribution areas are constructed according to the various pest distribution positions; based on the corn growth data set and the corn data analysis model, the corresponding corn growth status data are defined, and the corn growth status data graph is constructed according to the corn growth status data.

6. The corn ecological multi-dimensional prevention and control method according to claim 5, characterized in that: The pest control dynamic map is constructed based on the pest distribution location and the corn growth status map; A dynamic control system for the corn ecosystem is constructed based on the pest control dynamic map and soil status map, including: Freeze the distribution of pests and the growth status of corn; Correlate the distribution location of pests and the growth status of corn; A dynamic diagram of pest and disease control is constructed based on the pest distribution location and corn growth status diagram.

7. The corn ecological multi-dimensional prevention and control method according to claim 6, characterized in that: The pest control dynamic map is constructed based on the pest distribution location and the corn growth status map; The dynamic control system of the corn ecosystem is constructed based on the pest control dynamic map and soil status map, which also includes: Real-time monitoring of pest control dynamic graph; Collect soil status diagrams and dynamically interact with soil status diagrams and pest control dynamic diagrams; A dynamic management and control system for the corn ecosystem is constructed based on the dynamic interaction of the soil status map and the pest and disease control dynamic map.

8. The corn ecological multi-dimensional prevention and control method according to claim 7, characterized in that: In the dynamic management and control system, the change amount of the pest dimension and the change amount of the growth state of corn in the pest control dynamic graph are dynamically monitored, and the adjustment of the working parameters of the corn interactive device in the corn ecosystem is triggered according to the change amount of the pest dimension, the change amount of the growth state of corn and the change amount of the soil dimension, including: Freeze the dynamic control system; In this dynamic management and control system, various change data are collected based on the dynamic monitoring of the pest control dynamic graph; Based on the matching of various change data, the change amount of the pest and disease dimension in the pest and disease control dynamic graph and the change amount of the growth state of corn are defined.

9. The corn ecological multi-dimensional prevention and control method according to claim 8, characterized in that: In the dynamic management and control system, the change amount of the pest dimension and the change amount of the growth state of corn in the pest control dynamic graph are dynamically monitored, and the adjustment of the working parameters of the corn interactive device in the corn ecosystem is triggered according to the change amount of the pest dimension, the change amount of the growth state of corn and the change amount of the soil dimension, which also includes: The changes in the associated pest and disease dimensions, the changes in the growth status of corn, and the changes in the soil dimension of the soil status diagram; Define change events based on the change in pest and disease dimensions, the change in corn growth status, and the change in soil dimensions; The adjustment of the working parameters of the corn interactive devices in the corn ecosystem is triggered according to the change event.

10. A corn ecological multi-dimensional prevention and control system, characterized in that: The corn ecological multi-dimensional prevention and control system is applied to the corn ecological multi-dimensional prevention and control method as claimed in any one of claims 1 to 9, and the corn ecological multi-dimensional prevention and control system comprises: The corn ecosphere module is used to form a corn ecosphere according to the area where the corn field is located; A corn test area module is used to form multiple corn test areas based on the division of the corn ecosystem; A data collection module, used for collecting corresponding corn growth data sets and corresponding pest data sets according to synchronous detection of multiple corn test areas; A growth state diagram module is used to match a corn growth data set and a pest data set, define pest distribution locations according to the pest data set, and define a corn growth state diagram according to the corn growth data set; Dynamic management and control system module, used to build a dynamic map of pest control based on the distribution of pests and the growth status of corn; and to build a dynamic management and control system for the corn ecosystem based on the dynamic map of pest control and the soil status map; The parameter adjustment module is used to dynamically monitor the changes in the pest and disease dimension and the growth status of corn in the pest and disease control dynamic diagram in the dynamic management and control system, and trigger the adjustment of the working parameters of the corn interactive equipment in the corn ecosystem according to the changes in the pest and disease dimension, the growth status of corn and the soil dimension.

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