An agricultural planting environment information management system based on artificial intelligence

Abstract

The present invention discloses an agricultural planting environment information management system based on artificial intelligence, which relates to the field of information management technology. An acquisition module is used to acquire multiple agricultural planting targets, respectively determine corresponding planting location information corresponding to the multiple agricultural planting targets, and construct a planting information cover corresponding to the multiple agricultural planting targets and the corresponding planting location information; a classification module is connected to the acquisition module, and is used to determine the planting environment information of the multiple agricultural planting targets during the planting process, determine the current workflow based on the planting environment information, and classify the current workflow based on the planting information cover to obtain task items; an information management module is connected to the classification module, and is used to determine the planting end, and assign the task items to the planting end to manage the planting environment. The present invention facilitates the subsequent personnel to arrange the workflow, and has a good data integration effect, and has a good information integration adaptation effect corresponding to the planting location information.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to an agricultural planting environment information management system based on artificial intelligence. Background Art

[0002] With the advancement of agricultural modernization, agricultural informatization has become an important trend. As an important part of agricultural informatization, the agricultural planting environment information management system realizes the management of farmland through the collection of agricultural planting environment information. However, the existing agricultural planting involves a large scope and corresponds to different types of crops. It is difficult to integrate information in the agricultural planting environment information management, and it is impossible to arrange the work process for the farmland and achieve the orderliness of the work process. Summary of the invention

[0003] The purpose of the present invention is to provide an agricultural planting environment information management system based on artificial intelligence to solve the shortcomings of the background technology.

[0004] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: an agricultural planting environment information management system based on artificial intelligence, comprising: An acquisition module, used to acquire a plurality of agricultural planting targets, determine corresponding planting location information corresponding to the plurality of agricultural planting targets respectively, and construct a planting information cover corresponding to the plurality of agricultural planting targets and the corresponding planting location information; A classification module, connected to the acquisition module, is used to determine the planting environment information of multiple agricultural planting targets during the planting process, determine the current workflow based on the planting environment information, and classify the current workflow based on the planting information cover to obtain task items; The information management module is connected to the classification module and is used to determine the planting end and assign task items to the planting end to manage the planting environment.

[0005] In a preferred embodiment, the acquisition module includes: An information acquisition unit, used to acquire a plurality of agricultural planting targets, and determine corresponding planting location information corresponding to the plurality of agricultural planting targets, wherein the planting location information includes the planting location and a range involved in the planting location; An information determination unit, used to determine the environmental information required before planting of agricultural planting targets; The information construction unit is used to construct a planting information cover according to the environmental information required before planting and the planting position information.

[0006] In a preferred embodiment, the information construction unit includes: A space construction unit, used to construct a planting space, wherein the planting space includes a three-dimensional base space and a plurality of image clouds corresponding to the three-dimensional base space; A marking unit is used to mark the planting size inside the planting space, mark the planting space based on multiple planting position information to obtain multiple space planting plates, and bind the space planting plates with corresponding agricultural planting targets; The collection unit is used to obtain multiple image clouds corresponding to the space planting plate, collect the multiple image clouds to obtain an image cloud group, and store the planting workflow corresponding to the space planting plate through the image cloud group, wherein the planting workflow includes planting environment information and the corresponding planting process; The management unit is used to connect the image clouds of multiple spatial planting plates based on the planting space to obtain a planting information cover.

[0007] In a preferred embodiment, the space construction unit includes: A setting unit is used to construct a three-dimensional base space, and a plurality of image clouds are configured at the edge of the three-dimensional base space, and the plurality of image clouds are connected to each other; The binding unit is used to divide the three-dimensional base space into a spatial grid to obtain multiple unit spaces, allocate the multiple unit spaces to multiple image clouds, and bind information between at least one unit space allocated to the image cloud and the corresponding image cloud.

[0008] In a preferred embodiment, the assembly unit comprises: A configuration unit is used to configure a plurality of temporary points corresponding to the planting space, the plurality of temporary points are communicated and connected with each other, and a planting workflow line is set corresponding to the plurality of temporary points; The data collection unit is used to obtain multiple image clouds corresponding to the spatial planting plate, collect the multiple image clouds, and enable temporary point binding to obtain an image cloud group after collecting the multiple image clouds; A storage unit is used to store the planting environment information of the corresponding space planting plate and the corresponding planting process as the planting workflow through the image cloud group; Addition unit for adding implantation workflow of temporary points to implantation workflow line.

[0009] In a preferred embodiment, the classification module includes: An information determination unit, used to determine plant information of a plurality of agricultural planting targets during planting and planting environment parameters as planting environment information; An information marking unit, used to determine the current workflow and the corresponding working time based on the planting environment information and store them in the corresponding temporary points, and mark the current workflow and the corresponding working time on the planting workflow line through the temporary points; The classification unit is used to classify the current workflows of all temporary points on the planting workflow line in the planting information cover to obtain multiple task items.

[0010] In a preferred embodiment, the information management module includes: A registration unit, used to collect information of multiple managers and register multiple planting terminals; The environment management unit is used to allocate multiple task items to multiple planting ends respectively, and the multiple planting ends manage the planting environment according to the working hours of the work flow in the corresponding task items.

[0011] In the above technical solution, the technical effects and advantages provided by the present invention are: The present invention is based on the information exchange relationship between the temporary point and the planting workflow line. The planting workflow of the temporary point is added to the planting workflow line. Multiple enabled temporary points all add the planting workflow to the planting workflow line. A workflow arrangement of multiple enabled temporary points can be obtained. It has better workflow combing work, is convenient for subsequent personnel to arrange the workflow, and has better data integration effect. It has better information integration and adaptation effect corresponding to the planting location information. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0013] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0014] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0015] Example 1, please refer to Figure 1 As shown, the agricultural planting environment information management system based on artificial intelligence described in this embodiment includes: An acquisition module, used to acquire a plurality of agricultural planting targets, determine corresponding planting location information corresponding to the plurality of agricultural planting targets respectively, and construct a planting information cover corresponding to the plurality of agricultural planting targets and the corresponding planting location information; A classification module, connected to the acquisition module, is used to determine the planting environment information of multiple agricultural planting targets during the planting process, determine the current workflow based on the planting environment information, and classify the current workflow based on the planting information cover to obtain task items; The information management module is connected to the classification module and is used to determine the planting end and assign the task items to the planting end to manage the planting environment; It should be noted that with the advancement of agricultural modernization, agricultural informatization has become an important trend. As an important part of agricultural informatization, the agricultural planting environment information management system realizes the management of farmland through the collection of agricultural planting environment information. However, the existing agricultural planting involves a large scope and the corresponding types of crops are different. It is difficult to integrate information in the agricultural planting environment information management, and it is impossible to arrange the work flow corresponding to the farmland, and it is impossible to achieve the orderliness of the work flow. Based on the information exchange relationship between the temporary point and the planting work flow line, the planting work flow of the temporary point is added to the planting work flow line, and multiple enabled temporary points add the planting work flow to the planting work flow line, which can obtain a work flow arrangement for multiple enabled temporary points, and has a good work flow combing work, which is convenient for subsequent personnel to arrange the work flow, and has a good data integration effect, and has a good information integration adaptation effect corresponding to the planting location information.

[0016] In one embodiment, the acquisition module includes: An information acquisition unit, used to acquire a plurality of agricultural planting targets, and determine corresponding planting location information corresponding to the plurality of agricultural planting targets, wherein the planting location information includes the planting location and a range involved in the planting location; An information determination unit, used to determine the environmental information required before planting of agricultural planting targets; An information construction unit, used to construct a planting information cover according to environmental information required before planting and planting location information; It should be noted that multiple agricultural planting targets are obtained, and corresponding planting positions and the ranges involved in the planting positions are determined for the multiple agricultural planting targets as planting position information. Whether to plant plants needs to be determined based on the planting environment information. For example, plants have an adapted pre-planting preparation environment (temperature, humidity and soil nutrient information). Therefore, environmental information needs to be determined before agricultural planting before planting can be carried out. After that, a planting information cover is constructed based on the agricultural planting targets and the corresponding planting position information as well as the environmental information required before planting. This can better reflect the agricultural planting environment information, better carry out the subsequent planting work process, and better carry out agricultural planting.

[0017] In one embodiment, the information construction unit includes: A space construction unit, used to construct a planting space, wherein the planting space includes a three-dimensional base space and a plurality of image clouds corresponding to the three-dimensional base space; A marking unit is used to mark the planting size inside the planting space, mark the planting space based on multiple planting position information to obtain multiple space planting plates, and bind the space planting plates with corresponding agricultural planting targets; The collection unit is used to obtain multiple image clouds corresponding to the space planting plate, collect the multiple image clouds to obtain an image cloud group, and store the planting workflow corresponding to the space planting plate through the image cloud group, wherein the planting workflow includes planting environment information and the corresponding planting process; The management unit is used to connect the image clouds of multiple spatial planting plates based on the planting space to obtain a planting information cover.

[0018] It should be noted that a three-dimensional base space is constructed, which is a blank three-dimensional space. A corresponding image cloud is set corresponding to the three-dimensional base space. The image cloud is an information cover covering the outside of the three-dimensional base space. The planting size is marked inside the planting space. The planting size is a quantitative mark of the spatial size in the planting space. The three-dimensional base space and multiple image clouds corresponding to the three-dimensional base space are used as the planting space. Then, the actual multiple planting position information are marked in the planting space to obtain multiple spatial planting blocks in the planting space. The multiple planting position information includes the planting position and the range involved in the planting position. After understanding the planting position, the positional relationship between the multiple planting positions can be obtained. Therefore, the multiple planting positions can be distributed and set in the planting space. At the same time, according to the range involved in the planting position, The spatial planting block is obtained by demarcating the range with reference to the planting size, and the distribution of the planting position information in the virtual planting space and the scope involved can be obtained. Then, the spatial planting block is bound to the corresponding agricultural planting target object. The spatial planting block in the planting space will have a corresponding image cloud. A single spatial planting block corresponds to multiple image clouds. Multiple image clouds are gathered to obtain an image cloud group. The planting workflow of the corresponding spatial planting block is stored in the image cloud group, where the planting workflow includes planting environment information and the corresponding planting process. The planting environment information stored in the image cloud group can subsequently obtain the planting process that needs to be operated, and can provide personnel with orderly carry out planting process operations according to the planting environment information, making the workflow arrangement more reasonable and orderly, and improving the orderliness of personnel allocation.

[0019] In one embodiment, the space construction unit includes: A setting unit is used to construct a three-dimensional base space, and a plurality of image clouds are configured at the edge of the three-dimensional base space, and the plurality of image clouds are connected to each other; A binding unit is used to divide the three-dimensional base space into a plurality of unit spaces by spatial gridding, allocate the plurality of unit spaces to a plurality of image clouds, and bind information between at least one unit space allocated to an image cloud and a corresponding image cloud; It should be noted that the constructed three-dimensional base space is a blank three-dimensional space, and multiple image clouds are configured corresponding to the edge positions of the three-dimensional space. The representation here represents the division of the range within the three-dimensional base space. The division rule here is to divide the three-dimensional base space into a spatial grid to obtain multiple unit spaces, and at least one unit space is allocated to each image cloud. The image cloud is information bound to the corresponding at least one unit space. The above realizes physical information binding. The image cloud is a representative of the edge of the three-dimensional base space. The image cloud represents a part of the edge of a three-dimensional base space, which can ensure the adaptability between the planting space and the actual planting location information, and can change adaptively. It can better manage the environmental information of agricultural planting targets and arrange the corresponding work processes, avoid data islands, have a good work process arrangement function, and ensure the orderliness of work.

[0020] In one embodiment, the collection unit includes: A configuration unit is used to configure a plurality of temporary points corresponding to the planting space, the plurality of temporary points are communicated and connected with each other, and a planting workflow line is set corresponding to the plurality of temporary points; The data collection unit is used to obtain multiple image clouds corresponding to the spatial planting plate, collect the multiple image clouds, and enable temporary point binding to obtain an image cloud group after collecting the multiple image clouds; A storage unit is used to store the planting environment information of the corresponding space planting plate and the corresponding planting process as the planting workflow through the image cloud group; Adding unit for adding the implantation workflow of temporary points to the implantation workflow line; It should be noted that multiple temporary points are configured in the planting space, and the number of temporary points is greater than or equal to the space planting blocks. When the temporary points are not enabled, they are in a disconnected and closed state. After the temporary points are enabled, the enabled temporary points will be connected to each other, which is subsequently manifested as the connection between multiple image cloud groups. After setting the space planting block, there are multiple corresponding image clouds. The multiple image clouds are gathered. When there are multiple image cloud groups, an unenabled temporary point is immediately randomly selected for activation, and the enabled temporary point is bound to the multiple image clouds after the group to obtain an image cloud group. After the space planting block is newly added to the planting space and multiple image clouds appear in the group, the temporary points continue to be enabled. After the space planting block is removed from the planting space, it means that the planting at that position is completed, the temporary point will be unbound from the image cloud, and the temporary point will be disconnected and closed to an unenabled state. The grouping between multiple image clouds The combination will also be dissolved, and multiple temporary points communicate with each other. The planting workflow line is set through multiple temporary points. The planting workflow line is the time and the process schedule of the workflow. Then, the planting environment information of the corresponding space planting block and the corresponding planting process are stored through the image cloud group as the planting workflow. The planting workflow is the time of a single image cloud group and the process schedule of the corresponding workflow. Based on the information exchange relationship between the temporary point and the planting workflow line, the planting workflow of the temporary point is added to the planting workflow line. Multiple enabled temporary points add the planting workflow to the planting workflow line, and a workflow arrangement of multiple enabled temporary points can be obtained. It has a better workflow combing work, which is convenient for subsequent personnel to arrange the workflow, and has a good data integration effect. It has a good information integration and adaptation effect corresponding to the planting location information.

[0021] In one embodiment, the classification module comprises: An information determination unit, used to determine plant information of a plurality of agricultural planting targets during planting and planting environment parameters as planting environment information; An information marking unit, used to determine the current workflow and the corresponding working time based on the planting environment information and store them in the corresponding temporary points, and mark the current workflow and the corresponding working time on the planting workflow line through the temporary points; A classification unit, used for classifying the current workflows of all temporary points on the planting workflow line in the planting information cover to obtain a plurality of task items; It should be noted that there are multiple tasks that need to be performed during the growth process of each plant, and the tasks that need to be performed correspond to a stage. For example, in the planting of tea, corresponding work needs to be performed for collection and planting at different times. Here, there is a certain connection between the work stage and the growth work of the plant, and corresponding work is performed in each stage to plant crops. Therefore, the plant information and planting environment parameters of multiple agricultural planting targets during planting are determined as planting environment information. The growth stage of the plant can be determined through the plant information, wherein the plant information includes the image state of the plant, and the growth state of the plant can be obtained through the state of the plant collected by the image, and then the collected planting environment parameters are matched, wherein the planting environment parameters include temperature, humidity and soil nutrient information, and the corresponding workflow can be matched according to the planting environment information as the current workflow, and the current workflow is stored in the corresponding temporary point and the current workflow is marked on the planting workflow line through the temporary point, and then the current workflow of all temporary points is classified on the planting workflow line in the planting information cover to obtain multiple task items, and the working time of the workflow can be divided according to the time period to obtain multiple task items. There is at least one workflow for one task item, which can better allocate the workflow and arrange the work reasonably.

[0022] In one embodiment, the information management module includes: A registration unit, used to collect information of multiple managers and register multiple planting terminals; An environment management unit is used to allocate multiple task items to multiple planting terminals respectively, and the multiple planting terminals manage the planting environment according to the working hours of the work flow in the corresponding task items; It should be noted that after the task item is determined, it is necessary to collect the information of multiple managers and register multiple planting ends. The planting ends are used to implement specific task items, where the task item is composed of at least one workflow. Since the workflow and the corresponding working time are marked on the planting workflow line, after obtaining the task item, the planting end can work according to the assigned task item and the corresponding working time. It has a good environmental information management function and can allocate workflows according to environmental information. The working time is the implementation time set for the corresponding workflow, which can ensure the orderliness of the workflow.

[0023] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An agricultural planting environment information management system based on artificial intelligence, characterized in that: include: An acquisition module, used to acquire a plurality of agricultural planting targets, determine corresponding planting location information corresponding to the plurality of agricultural planting targets respectively, and construct a planting information cover corresponding to the plurality of agricultural planting targets and the corresponding planting location information; A classification module, connected to the acquisition module, is used to determine the planting environment information of multiple agricultural planting targets during the planting process, determine the current workflow based on the planting environment information, and classify the current workflow based on the planting information cover to obtain task items; The information management module is connected to the classification module and is used to determine the planting end and assign task items to the planting end to manage the planting environment.

2. The agricultural planting environment information management system based on artificial intelligence according to claim 1 is characterized by: The acquisition module comprises: An information acquisition unit, used to acquire a plurality of agricultural planting targets, and determine corresponding planting location information corresponding to the plurality of agricultural planting targets, wherein the planting location information includes the planting location and a range involved in the planting location; An information determination unit, used to determine the environmental information required before planting of agricultural planting targets; The information construction unit is used to construct a planting information cover according to the environmental information required before planting and the planting position information.

3. The agricultural planting environment information management system based on artificial intelligence according to claim 2 is characterized in that: The information construction unit includes: A space construction unit, used for constructing a planting space, wherein the planting space includes a three-dimensional base space and a plurality of image clouds corresponding to the three-dimensional base space; A marking unit is used to mark the planting size inside the planting space, mark the planting space based on multiple planting position information to obtain multiple space planting blocks, and bind the space planting blocks with corresponding agricultural planting targets; The collection unit is used to obtain multiple image clouds corresponding to the space planting block, collect the multiple image clouds to obtain an image cloud group, and store the planting workflow corresponding to the space planting block through the image cloud group, wherein the planting workflow includes planting environment information and the corresponding planting process; The management unit is used to connect the image clouds of multiple spatial planting plates based on the planting space to obtain a planting information cover.

4. The agricultural planting environment information management system based on artificial intelligence according to claim 3 is characterized by: The space construction unit comprises: A setting unit is used to construct a three-dimensional base space, and a plurality of image clouds are configured at the edge of the three-dimensional base space, and the plurality of image clouds are connected to each other; The binding unit is used to divide the three-dimensional base space into a spatial grid to obtain multiple unit spaces, allocate the multiple unit spaces to multiple image clouds, and bind information between at least one unit space allocated to the image cloud and the corresponding image cloud.

5. The agricultural planting environment information management system based on artificial intelligence according to claim 4 is characterized in that: The assembly unit comprises: A configuration unit is used to configure a plurality of temporary points corresponding to the planting space, the plurality of temporary points are connected in communication with each other, and a planting workflow line is set corresponding to the plurality of temporary points; The data collection unit is used to obtain multiple image clouds corresponding to the spatial planting plate, collect the multiple image clouds, and enable temporary point binding to obtain an image cloud group after collecting the multiple image clouds; A storage unit is used to store the planting environment information of the corresponding space planting plate and the corresponding planting process as the planting workflow through the image cloud group; Addition unit for adding implantation workflow of temporary points to implantation workflow line.

6. The agricultural planting environment information management system based on artificial intelligence according to claim 1 is characterized by: The classification module comprises: An information determination unit, used to determine plant information of a plurality of agricultural planting targets during planting and planting environment parameters as planting environment information; An information marking unit, used to determine the current workflow and the corresponding working time based on the planting environment information and store them in the corresponding temporary points, and mark the current workflow and the corresponding working time on the planting workflow line through the temporary points; The classification unit is used to classify the current workflows of all temporary points on the planting workflow line in the planting information cover to obtain multiple task items.

7. The agricultural planting environment information management system based on artificial intelligence according to claim 1 is characterized by: The information management module includes: A registration unit, used to collect information of multiple managers and register multiple planting terminals; The environment management unit is used to allocate multiple task items to multiple planting ends respectively, and the multiple planting ends manage the planting environment according to the working hours of the work flow in the corresponding task items.

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