Agricultural waste efficient treatment method and system

Abstract

The invention is suitable for the technical field of agricultural waste treatment, and particularly relates to an agricultural waste efficient treatment method and system.The method comprises the steps that an inspection plan is formulated, video monitoring data in an agricultural production area are collected through an unmanned aerial vehicle, snapshots are intercepted and divided into a plurality of single areas, and the video monitoring data in the agricultural production area are acquired through distribution data in the agricultural production area; the method comprises the following steps: searching responsible personnel of each single area, creating an appearance feature set of agricultural wastes, identifying the agricultural wastes in each snapshot by using an object detection algorithm, defining the agricultural wastes as available wastes, and establishing a corresponding relationship between the available wastes and the responsible personnel. According to the invention, by playing the cooperative reminding audio data, the processing plan can be ensured to be transmitted to each responsible person, and unsmooth information acquisition caused by the fact that part of old people cannot use intelligent equipment is avoided, so that the processing efficiency of agricultural wastes in a region is greatly improved, misunderstanding and omission are reduced, and stable development of intelligent agriculture is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural waste treatment, and in particular to a method and system for efficiently treating agricultural waste. Background Art

[0002] Agricultural waste treatment refers to the process of rationally utilizing various wastes generated in the agricultural production process. Agricultural waste specifically includes straw, livestock and poultry manure, agricultural film, pesticide packaging, and dead animals. If these wastes are not properly handled, they may cause pollution to the environment. But on the other hand, if agricultural waste is rationally utilized, such as composting fermentation, biogas production, resource utilization and harmless treatment, it will not only reduce the environmental burden, but also convert agricultural waste into resources such as organic fertilizer and clean energy, thereby realizing the recycling and sustainable development of agricultural production.

[0003] However, the economic benefits of agricultural waste treatment are low, resulting in low participation enthusiasm among some farmers. In addition, some agricultural waste lacks convenient recycling channels, which greatly limits the efficiency of agricultural waste treatment. Therefore, "how to reduce the workload of agricultural waste recycling" is the technical problem that the present invention needs to solve. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for efficiently treating agricultural waste, so as to solve the problem of "how to reduce the workload of recycling agricultural waste" raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for efficiently treating agricultural waste, comprising:

[0007] Develop an inspection plan, use drones to collect video surveillance data within agricultural production areas, take snapshots, and divide them into several single areas. Using the distribution data within the agricultural production areas, find the responsible personnel for each single area, create a shape feature set of agricultural waste, use object detection algorithms to identify agricultural waste in each snapshot, define it as usable waste, and establish a corresponding relationship between usable waste and responsible personnel;

[0008] Establish a waste collaborative treatment platform, open a registration channel for the responsible personnel, record personal information, and receive treatment plans uploaded by the responsible personnel, where the treatment plan at least includes: type, treatment location, treatment method and shared distance. The collaborative scope is defined with the treatment location as the center and the shared distance as the radius;

[0009] Within the collaboration scope, available wastes of the same type as the type are traversed to obtain target wastes. Through the corresponding relationship, the person in charge of the single area where the target waste is located is defined as the target person. The target waste, treatment plan and target person are integrated to generate collaboration reminder audio data. The home address of the target person is extracted from the personal information and the home address is inserted into the inspection plan. When the real-time position of the drone coincides with the home address, the collaboration reminder audio data is played.

[0010] Furthermore, the steps of formulating an inspection plan, using drones to collect video surveillance data within the agricultural production area, taking snapshots, and dividing the data into a number of single areas include:

[0011] Identify the types of available waste, where the types include at least straw, livestock and poultry manure, and crop waste; generate a field return process based on preset field return rules; and establish a monitoring mechanism based on drones;

[0012] Drawing a farmland zoning map within the agricultural production area, dividing the snapshot into a plurality of single areas, wherein each single area corresponds to one acre of farmland;

[0013] It is determined whether the responsible persons corresponding to two adjacent single-piece areas are the same. If so, the single-piece areas are merged.

[0014] Furthermore, the method further comprises:

[0015] Using personal information of the responsible person, a label is generated and the label is embedded in the monolithic area;

[0016] The single area corresponding to the available waste is defined as the target area, and all target areas in the agricultural production area are integrated to generate an inspection plan.

[0017] Furthermore, the steps of creating a shape feature set of agricultural waste, using an object detection algorithm to identify agricultural waste in each snapshot and define it as usable waste, and establishing a corresponding relationship between usable waste and responsible personnel include:

[0018] Collect risk factors of the available waste, wherein the risk factors include at least: stacking time and quantity;

[0019] Based on the risk factors, a risk level is configured for each single area, wherein the risk level includes high, medium and low, and priority personnel are located;

[0020] Using the risk factors and types, processing information is generated and sent to priority processing personnel.

[0021] Furthermore, the step of defining the collaboration scope with the processing location as the center and the shared distance as the radius includes:

[0022] Construct a multi-level shared distance, where each level corresponds to a shared distance and a set value;

[0023] When the amount of available waste is greater than a set value, the sharing distance corresponding to the next level is activated.

[0024] Furthermore, the step of integrating target waste, treatment plan, and target personnel to generate collaborative reminder audio data includes:

[0025] Using the voice communication module pre-integrated in the drone, a conversation is established between the responsible personnel and the target personnel corresponding to the treatment plan;

[0026] The conversation is recorded and uploaded to the waste collaborative processing platform.

[0027] Furthermore, the method further comprises:

[0028] Broadcast the collaboration reminder audio data to all target personnel, determine whether a reply is received, and traverse the reply personnel;

[0029] If so, the respondent's home address is deleted from the inspection plan.

[0030] Furthermore, the system includes:

[0031] Establish a module for developing inspection plans, using drones to collect video surveillance data within agricultural production areas, capture snapshots, and divide them into several single areas. Using the distribution data within the agricultural production areas, find the responsible personnel for each single area, create a shape feature set of agricultural waste, use object detection algorithms to identify agricultural waste in each snapshot, define it as usable waste, and establish a correspondence between usable waste and responsible personnel;

[0032] A demarcation module is used to build a waste collaborative treatment platform, open a registration channel for the responsible personnel, record personal information, and receive treatment plans uploaded by the responsible personnel, where the treatment plan at least includes: type, treatment location, treatment method and shared distance. The collaborative scope is demarcated with the treatment location as the center and the shared distance as the radius;

[0033] The playback module is used to traverse the available waste of the same type within the collaboration scope to obtain the target waste, define the person in charge of the single area where the target waste is located as the target person through the corresponding relationship, integrate the target waste, the treatment plan and the target person, generate collaboration reminder audio data, extract the home address of the target person from the personal information, insert the home address into the inspection plan, and play the collaboration reminder audio data when the real-time position of the drone coincides with the home address.

[0034] Furthermore, the establishment module includes:

[0035] A monitoring unit is configured to identify the types of the available waste, wherein the types include at least straw, livestock and poultry manure, and crop waste, generate a field return process based on preset field return rules, and establish a monitoring mechanism based on drones;

[0036] a drawing unit, configured to draw a farmland zoning map within the agricultural production area, dividing the snapshot into a plurality of single regions, wherein each single region corresponds to one acre of farmland;

[0037] a merging unit, configured to determine whether the responsible persons corresponding to two adjacent single-piece areas are the same, and if so, merge the single-piece areas;

[0038] A collecting unit, configured to collect risk factors of the usable waste, wherein the risk factors include at least: stacking time and quantity;

[0039] A configuration unit, configured to configure a risk level for each single area based on the risk factors, wherein the risk levels include high, medium and low, and locate priority personnel;

[0040] The issuing unit is used to generate processing information using the risk factors and types, and issue the processing information to priority processing personnel.

[0041] Furthermore, the delineation module includes:

[0042] A construction unit for constructing multi-level shared distances, where each level corresponds to a shared distance and a set value;

[0043] The activation unit is used to activate the sharing distance corresponding to the next level when the amount of the available waste is greater than a set value.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] By determining the inspection plan, agricultural waste in agricultural production areas can be accurately monitored with wide coverage and high efficiency. By using drones to inspect agricultural production areas, labor costs can be reduced and the progress of agricultural waste treatment can be discovered in a timely manner. By determining the available waste, a regulatory basis can be provided for the management of agricultural waste to prevent environmental pollution. By building a waste collaborative treatment platform, it is possible to promote agricultural resource sharing, reduce equipment idleness, and greatly reduce agricultural waste treatment costs by enhancing community cooperation. By playing collaborative reminder audio data, it is ensured that the treatment plan can be delivered to each responsible person to avoid some elderly people from not being able to use smart devices, resulting in poor information acquisition, thereby greatly improving the efficiency of agricultural waste treatment in the region, reducing misunderstandings and omissions, and promoting the stable development of smart agriculture. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A flowchart of a method for efficiently treating agricultural waste provided by an embodiment of the present invention;

[0047] Figure 2 A first sub-flow chart of the method for efficiently treating agricultural waste provided by an embodiment of the present invention;

[0048] Figure 3 A second sub-flow chart of the method for efficiently treating agricultural waste provided by an embodiment of the present invention;

[0049] Figure 4 A third sub-flow chart of the method for efficiently treating agricultural waste provided by an embodiment of the present invention;

[0050] Figure 5 A block diagram of the composition of an efficient agricultural waste treatment system provided by an embodiment of the present invention;

[0051] Figure 6 A block diagram of the components of the establishment module in the efficient agricultural waste treatment system provided by an embodiment of the present invention;

[0052] Figure 7 A block diagram of the components of the demarcation module in the efficient agricultural waste treatment system provided by an embodiment of the present invention;

[0053] Figure 8 This is a block diagram of the composition of the playback module in the agricultural waste efficient treatment system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0055] In Example 1, Figure 1 The following is a detailed description of the implementation process of the method for efficiently treating agricultural waste provided by an embodiment of the present invention:

[0056] S100: Develop an inspection plan, use drones to collect video surveillance data within the agricultural production area, take snapshots, and divide them into several single areas. Based on the distribution data within the agricultural production area, find the responsible personnel for each single area, create a shape feature set of agricultural waste, use object detection algorithms to identify agricultural waste in each snapshot, define it as usable waste, and establish a corresponding relationship between usable waste and responsible personnel.

[0057] Based on the terrain, crop types and specific monitoring needs in the agricultural production area, the drone's passage points are determined. Combined with the take-off and landing points, the drone's inspection plan is determined, and the drone is controlled to fly according to the predetermined route; the drone is used to collect video surveillance data in the agricultural production area, and during the flight, when the drone reaches a specific location or flight time node, a snapshot of the video surveillance data is taken. The specific location refers to the top of the farmland that needs to be inspected; in the snapshot, multiple single areas are cut out, each single area corresponds to one acre of farmland, and based on the allocation data of each acre of farmland (i.e., contractor information), the person in charge of each acre of farmland is determined. The responsible person is also the contractor or plot manager of each acre of farmland.

[0058] A large number of sample images of agricultural waste are collected from public data, including common waste such as straw, fruit and vegetable residues, agricultural film and packaging bags, and the appearance features of agricultural waste, such as color, texture, edge contour, shape and size, are extracted and integrated to generate an appearance feature set; the object detection algorithm of deep learning is used to extract the image features in the snapshots, and by comparing the appearance feature set, the available waste in each snapshot is determined. The data is retrospectively allocated to determine the responsible personnel corresponding to the available waste, and the management and recycling responsibilities of the available waste are clarified.

[0059] S200: Build a waste collaborative processing platform, open a registration channel for the responsible personnel, record personal information, and receive processing plans uploaded by the responsible personnel, wherein the processing plan at least includes: type, processing location, processing method and shared distance. The collaborative scope is defined with the processing location as the center and the shared distance as the radius.

[0060] Build a waste collaborative treatment platform, which is mainly used to publish collaborative tasks and respond to treatment plans, open registration channels for responsible personnel in agricultural production areas, allow responsible personnel to register independently, and record the personal information of each responsible person, including name, contact information, region and responsible plot, etc.

[0061] When a responsible person processes agricultural waste in a single area under his / her responsibility, he / she shall publish a processing plan on the waste collaborative processing platform; however, the type of agricultural waste (such as straw, fruit and vegetable residues and agricultural film, etc.), the processing location (the location of the single area), the processing method (such as composting, feed processing, fuel processing or centralized recycling) and the shared distance (the distance within which he / she hopes to collaborate with other responsible persons in the surrounding area) shall be specified in detail in the processing plan; the collaboration scope shall be defined with the processing location as the center and the shared distance as the radius. The shared distance shall be determined by professionals based on the regional terrain and the area of the agricultural production area.

[0062] S300: Within the collaboration scope, traverse the available wastes of the same type to obtain target wastes, define the person in charge of the single area where the target wastes are located as the target person through the corresponding relationship, integrate the target wastes, the treatment plan and the target person, generate collaboration reminder audio data, extract the home address of the target person from the personal information, insert the home address into the inspection plan, and play the collaboration reminder audio data when the real-time position of the drone coincides with the home address.

[0063] Within the collaboration scope, find agricultural waste of the same type as the available waste and define it as the target waste, and define the responsible person corresponding to the single area where the target waste is located as the target person; in other words, the target person also has the same type of agricultural waste to be processed; write the target waste, processing plan and target person into the preset template, generate an invitation message, and publish the invitation message to the waste collaborative processing platform; in addition, use this invitation SMS to generate collaboration reminder audio data, traverse the home address of the target person in the waste collaborative processing platform, and control the drone to go there. When the drone arrives, play the collaboration reminder audio data; it should be noted that during this process, no responsible person can access the home address of the target person.

[0064] Specifically, when a farmer is preparing to clean up agricultural waste in the field, he will publish a treatment plan on the waste collaborative treatment platform, find out the farmers in the area who have the same agricultural waste, and send an invitation text message to the farmer, asking him if he needs to deal with it together. For some middle-aged and elderly people who cannot use smart devices, the above invitation text message will be broadcast through drone calls. The benefit of doing this is that it can promote agricultural resource sharing by enhancing community cooperation, thereby achieving efficient treatment of agricultural waste.

[0065] In Example 2, Figure 2The following is a detailed description of the steps for implementing the efficient agricultural waste treatment method provided by an embodiment of the present invention, including developing an inspection plan, using a drone to collect video surveillance data within an agricultural production area, capturing snapshots, and dividing the data into several separate areas.

[0066] S101: Identify the types of available waste, wherein the types include at least straw, livestock and poultry manure, and crop waste; generate a field return process based on preset field return rules; and build a monitoring mechanism based on drones.

[0067] Determine the specific types of available waste; for example, straw, livestock and poultry manure, and crop waste (fruit peels, rotten fruits, and vegetable leaves, etc.). Based on preset return-to-field rules, such as straw crushing and return-to-field, manure composting and return-to-field, and organic covering of fruit and vegetable residues, formulate targeted return-to-field processes, and combine drone technology to build a monitoring mechanism. The monitoring mechanism is to use drones to monitor the processing process of target personnel to determine whether it complies with the return-to-field process.

[0068] S102: Draw a farmland zoning map within the agricultural production area, and divide the snapshot into a plurality of single areas, wherein each single area corresponds to one acre of farmland.

[0069] Using public data, farmland zoning maps are drawn, and image segmentation techniques (such as edge detection algorithms) are used to combine features such as land boundaries, crop distribution, and field roads to divide the snapshots into multiple single areas.

[0070] S103: Determine whether the responsible persons corresponding to two adjacent single-piece areas are the same. If yes, merge the single-piece areas.

[0071] If the responsible persons of adjacent single areas are the same, the two single areas will be merged; in other words, the adjacent farmlands with the same responsible person will be handled uniformly.

[0072] In Example 3, Figure 2 The following describes the implementation process of the efficient agricultural waste treatment method provided by an embodiment of the present invention. The following details the steps of creating a shape feature set of agricultural waste, using an object detection algorithm to identify agricultural waste in each snapshot, defining it as usable waste, and establishing a corresponding relationship between usable waste and responsible personnel.

[0073] S104: Collect risk factors of the usable waste, wherein the risk factors at least include: stacking time and quantity.

[0074] After identifying the available waste, the risk factors of each available waste are determined, where the risk factors include: the stacking time and quantity of agricultural waste. The stacking time can be calculated through video surveillance data, and the quantity can be represented by the number of pixels corresponding to the available waste in the snapshot.

[0075] S105: Based on the risk factors, a risk level is configured for each single area, wherein the risk levels include high, medium and low, and priority processing personnel are located.

[0076] Establish a corresponding relationship between risk factors and risk levels; for example, if the stacking time is greater than 3 days, the risk level is low, greater than 5 days, the risk level is medium, and greater than 10 days, the risk level is high; define the responsible personnel corresponding to the high risk level as priority processing personnel; in other words, when the agricultural waste is stacked for a long time and the amount of waste is large, the corresponding responsible personnel will be invited to handle it first.

[0077] S106: Generate processing information using the risk factors and types, and send the processing information to priority processing personnel.

[0078] Generate a processing message using risk factors and types. For example, if the type is straw and the risk factor is stacking for 10 days, the processing message is: The straw in your field has been stacked for 10 days; remind the responsible personnel to handle it in time.

[0079] In the above process, if there are multiple responsible persons who want to join the processing plan together, the priority processing person will be accepted first.

[0080] In Example 4, Figure 3 The implementation process of the efficient agricultural waste treatment method provided by an embodiment of the present invention is shown. The steps of defining the cooperation range with the treatment location as the center and the shared distance as the radius are described in detail below:

[0081] S201: Construct a multi-level shared distance, where each level corresponds to a shared distance and a set value.

[0082] A multi-level shared distance is a set of multiple shared distances, each of which corresponds to a set value.

[0083] S202: When the amount of available waste is greater than a set value, activating the sharing distance corresponding to the next level.

[0084] The sharing distance is determined based on the amount of available waste, wherein the larger the amount, the larger the sharing distance; further, when the amount of available waste is large, it means that the processing demand for this type of available waste is large, and a larger sharing distance should be set.

[0085] In Example 5, Figure 4 The implementation process of the efficient agricultural waste treatment method provided by an embodiment of the present invention is shown. The steps of integrating target waste, treatment plan, and target personnel to generate collaborative reminder audio data are described in detail below:

[0086] S301: Using the voice communication module pre-integrated in the drone, a dialogue is established between the responsible person and the target person corresponding to the processing plan.

[0087] Activate the voice communication module to establish a voice call between the responsible person and the target person. After both parties accept, they can talk directly.

[0088] S302: Record the conversation and upload it to the waste collaborative processing platform.

[0089] The entire conversation process is recorded and archived to provide a basis for subsequent processing and tracking. The recording is uploaded to the waste collaborative processing platform and the conversation is stored in the cloud.

[0090] In Example 6, different from Example 1, in this embodiment of the present invention, the method further includes:

[0091] Using personal information of the responsible person, a label is generated and the label is embedded in the monolithic area;

[0092] The single area corresponding to the available waste is defined as the target area, and all target areas in the agricultural production area are integrated to generate an inspection plan.

[0093] In order to improve the efficiency of data retrieval, tags containing personal information are embedded in a single area in the snapshot. The target area is used as the waypoint, and the patrol route is generated in combination with the take-off and landing points of the drone. The shooting task corresponding to each waypoint is determined to generate a patrol plan.

[0094] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:

[0095] Broadcast the collaboration reminder audio data to all target personnel, determine whether a reply is received, and traverse the reply personnel;

[0096] If so, the respondent's home address is deleted from the inspection plan.

[0097] Through the waste collaborative processing platform, the collaborative reminder audio data is pushed to all target personnel using message pop-ups. If a response is received from the target person, the drone will no longer be used to shout at their home address.

[0098] Figure 5The following is a structural block diagram of a system for efficiently treating agricultural waste according to an embodiment of the present invention. The system 1 comprises:

[0099] Establishing module 11 for formulating an inspection plan, using drones to collect video surveillance data within the agricultural production area, capturing snapshots, and dividing the data into several single areas. Using the distribution data within the agricultural production area, finding the responsible personnel for each single area, creating a shape feature set of agricultural waste, using an object detection algorithm, identifying the agricultural waste in each snapshot, defining it as usable waste, and establishing a correspondence between usable waste and responsible personnel;

[0100] The demarcation module 12 is used to build a waste collaborative treatment platform, open a registration channel for the responsible personnel, record personal information, and receive treatment plans uploaded by the responsible personnel, where the treatment plan includes at least: type, treatment location, treatment method, and shared distance. The collaborative scope is demarcated with the treatment location as the center and the shared distance as the radius;

[0101] The playback module 13 is used to traverse the available waste of the same type within the collaboration scope to obtain the target waste, define the person in charge of the single area where the target waste is located as the target person through the corresponding relationship, integrate the target waste, the treatment plan and the target person, generate collaboration reminder audio data, extract the home address of the target person from the personal information, insert the home address into the inspection plan, and play the collaboration reminder audio data when the real-time position of the drone coincides with the home address.

[0102] Figure 6 The following is a structural block diagram of the agricultural waste efficient treatment system provided by an embodiment of the present invention. The establishment module 11 includes:

[0103] The monitoring unit 111 is used to identify the types of available waste, wherein the types include at least straw, livestock and poultry manure and planting waste, generate a field return process based on the preset field return rules, and build a monitoring mechanism based on drones.

[0104] A drawing unit 112 is used to draw a farmland zoning map within the agricultural production area, dividing the snapshot into a plurality of single areas, wherein each single area corresponds to one acre of farmland;

[0105] a merging unit 113, configured to determine whether the responsible persons corresponding to two adjacent single-piece areas are the same, and if so, merge the single-piece areas;

[0106] A collecting unit 114 is configured to collect risk factors of the usable waste, wherein the risk factors include at least: stacking time and quantity;

[0107] A configuration unit 115 is configured to configure a risk level for each single area based on the risk factors, wherein the risk levels include high, medium and low, and locate priority personnel;

[0108] The issuing unit 116 is configured to generate processing information using the risk factors and types, and issue the processing information to priority processing personnel.

[0109] Figure 7 The following is a structural block diagram of the agricultural waste efficient treatment system provided by an embodiment of the present invention. The demarcation module 12 includes:

[0110] A construction unit 121 is used to construct a multi-level shared distance, wherein each level corresponds to a shared distance and a set value;

[0111] The activation unit 122 is configured to activate the sharing distance corresponding to the next level when the amount of available waste is greater than a set value.

[0112] Figure 8 The following is a structural block diagram of the agricultural waste efficient treatment system provided by an embodiment of the present invention. The playback module 13 includes:

[0113] The corresponding unit 131 is used to establish a dialogue between the responsible person and the target person corresponding to the processing plan using a voice communication module pre-integrated in the drone;

[0114] The uploading unit 132 is configured to record the conversation and upload the conversation to the waste collaborative processing platform.

[0115] The establishment module 11 is mainly used to complete step S100, the demarcation module 12 is mainly used to complete step S200, and the playback module 13 is mainly used to complete step S300;

[0116] The monitoring unit 111 is mainly used to complete step S101, the drawing unit 112 is mainly used to complete step S102, the merging unit 113 is mainly used to complete step S103, the collecting unit 114 is mainly used to complete step S104, the configuration unit 115 is mainly used to complete step S105, and the issuing unit 116 is mainly used to complete step S106;

[0117] The construction unit 121 is mainly used to complete step S201, and the activation unit 122 is mainly used to complete step S202;

[0118] The corresponding unit 131 is mainly used to complete step S301, and the uploading unit 132 is mainly used to complete step S302.

[0119] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0120] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0121] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for efficiently treating agricultural waste, characterized in that: The method comprises: Develop an inspection plan, use drones to collect video surveillance data within agricultural production areas, take snapshots, and divide them into several single areas. Using the distribution data within the agricultural production areas, find the responsible personnel for each single area, create a shape feature set of agricultural waste, use object detection algorithms to identify agricultural waste in each snapshot, define it as usable waste, and establish a corresponding relationship between usable waste and responsible personnel; Establish a waste collaborative treatment platform, open a registration channel for the responsible personnel, record personal information, and receive treatment plans uploaded by the responsible personnel, where the treatment plan at least includes: type, treatment location, treatment method and shared distance. The collaborative scope is defined with the treatment location as the center and the shared distance as the radius; Within the collaboration scope, available wastes of the same type as the type are traversed to obtain target wastes. Through the corresponding relationship, the person in charge of the single area where the target waste is located is defined as the target person. The target waste, treatment plan and target person are integrated to generate collaboration reminder audio data. The home address of the target person is extracted from the personal information and the home address is inserted into the inspection plan. When the real-time position of the drone coincides with the home address, the collaboration reminder audio data is played.

2. The method for efficiently treating agricultural waste according to claim 1, characterized in that: The steps of formulating an inspection plan, using a drone to collect video surveillance data within the agricultural production area, taking snapshots, and dividing the data into several single areas include: Identify the types of available waste, where the types include at least straw, livestock and poultry manure, and crop waste; generate a field return process based on preset field return rules; and establish a monitoring mechanism based on drones; Drawing a farmland zoning map within the agricultural production area, dividing the snapshot into a plurality of single areas, wherein each single area corresponds to one acre of farmland; It is determined whether the responsible persons corresponding to two adjacent single-piece areas are the same. If so, the single-piece areas are merged.

3. The method for efficiently treating agricultural waste according to claim 2, characterized in that: The method further comprises: Using personal information of the responsible person, a label is generated and the label is embedded in the monolithic area; The single area corresponding to the available waste is defined as the target area, and all target areas in the agricultural production area are integrated to generate an inspection plan.

4. The method for efficiently treating agricultural waste according to claim 3, characterized in that: The steps of creating a shape feature set of agricultural waste, using an object detection algorithm to identify agricultural waste in each snapshot, defining it as usable waste, and establishing a corresponding relationship between usable waste and responsible personnel include: Collect risk factors of the available waste, wherein the risk factors include at least: stacking time and quantity; Based on the risk factors, a risk level is configured for each single area, wherein the risk level includes high, medium and low, and priority personnel are located; Using the risk factors and types, processing information is generated and sent to priority processing personnel.

5. The method for efficiently treating agricultural waste according to claim 4, characterized in that: The step of defining the collaboration scope with the processing location as the center and the shared distance as the radius includes: Construct a multi-level shared distance, where each level corresponds to a shared distance and a set value; When the amount of available waste is greater than a set value, the sharing distance corresponding to the next level is activated.

6. The method for efficiently treating agricultural waste according to claim 1, characterized in that: The step of integrating target waste, treatment plan, and target personnel to generate collaborative reminder audio data includes: Using the voice communication module pre-integrated in the drone, a conversation is established between the responsible personnel and the target personnel corresponding to the treatment plan; The conversation is recorded and uploaded to the waste collaborative processing platform.

7. The method for efficiently treating agricultural waste according to claim 1, characterized in that: The method further comprises: Broadcast the collaboration reminder audio data to all target personnel, determine whether a reply is received, and traverse the reply personnel; If so, the respondent's home address is deleted from the inspection plan.

8. An efficient agricultural waste treatment system, characterized in that: The system comprises: Establish a module for developing inspection plans, using drones to collect video surveillance data within agricultural production areas, capture snapshots, and divide them into several single areas. Using the distribution data within the agricultural production areas, find the responsible personnel for each single area, create a shape feature set of agricultural waste, use object detection algorithms to identify agricultural waste in each snapshot, define it as usable waste, and establish a correspondence between usable waste and responsible personnel; A demarcation module is used to build a waste collaborative treatment platform, open a registration channel for the responsible personnel, record personal information, and receive treatment plans uploaded by the responsible personnel, where the treatment plan at least includes: type, treatment location, treatment method and shared distance. The collaborative scope is demarcated with the treatment location as the center and the shared distance as the radius; The playback module is used to traverse the available waste of the same type within the collaboration scope to obtain the target waste, define the person in charge of the single area where the target waste is located as the target person through the corresponding relationship, integrate the target waste, the treatment plan and the target person, generate collaboration reminder audio data, extract the home address of the target person from the personal information, insert the home address into the inspection plan, and play the collaboration reminder audio data when the real-time position of the drone coincides with the home address.

9. The agricultural waste efficient treatment system according to claim 8, characterized in that: The establishment module includes: A monitoring unit is configured to identify the types of the available waste, wherein the types include at least straw, livestock and poultry manure, and crop waste, generate a field return process based on preset field return rules, and establish a monitoring mechanism based on drones; a drawing unit, configured to draw a farmland zoning map within the agricultural production area, dividing the snapshot into a plurality of single regions, wherein each single region corresponds to one acre of farmland; a merging unit, configured to determine whether the responsible persons corresponding to two adjacent single-piece areas are the same, and if so, merge the single-piece areas; A collecting unit, configured to collect risk factors of the usable waste, wherein the risk factors include at least: stacking time and quantity; A configuration unit, configured to configure a risk level for each single area based on the risk factors, wherein the risk levels include high, medium and low, and locate priority personnel; The issuing unit is used to generate processing information using the risk factors and types, and issue the processing information to priority processing personnel.

10. The agricultural waste efficient treatment system according to claim 9, characterized in that: The delineation module includes: A construction unit for constructing multi-level shared distances, where each level corresponds to a shared distance and a set value; The activation unit is used to activate the sharing distance corresponding to the next level when the amount of the available waste is greater than a set value.

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