Agricultural waste efficient treatment method and system

Abstract

The application is suitable for the technical field of agricultural waste treatment, and particularly relates to an efficient agricultural waste treatment method and system.The method comprises the following steps: making an inspection plan, collecting video monitoring data in an agricultural production area by using a drone, intercepting snapshots, dividing the snapshots into a plurality of single regions, finding out responsible persons of each single region through distribution data in the agricultural production area, creating an external feature set of agricultural waste, identifying agricultural waste in each snapshot by using an object detection algorithm, defining the agricultural waste as available waste, and establishing a corresponding relationship between the available waste and the responsible persons.The application can ensure that the treatment plan is delivered to each responsible person by playing cooperative reminding audio data, avoid the situation that some old people cannot use smart devices and thus cannot obtain information smoothly, greatly improve the treatment efficiency of agricultural waste in the region, reduce misunderstanding and omission, and promote the stable development of smart agriculture.

Description

Technical Field

[0001] This invention relates to the field of agricultural waste treatment technology, and in particular to a method and system for efficient treatment of agricultural waste. Background Technology

[0002] Agricultural waste treatment refers to the process of rationally utilizing various wastes generated during agricultural production. Agricultural waste specifically includes straw, livestock and poultry manure, agricultural film, pesticide packaging materials, and dead animals. If these wastes are not properly treated, they may cause environmental pollution. However, on the other hand, if agricultural waste is rationally utilized, such as through composting, biogas production, resource utilization, and harmless treatment, it can not only reduce the environmental burden but also transform agricultural waste into resources such as organic fertilizer and clean energy, thereby achieving the circular utilization and sustainable development of agricultural production.

[0003] However, the economic benefits of processing agricultural waste are low, which leads to a lack of enthusiasm among some farmers to participate. Furthermore, the lack of convenient recycling channels for some agricultural waste also greatly limits the efficiency of agricultural waste treatment. Therefore, "how to reduce the workload of agricultural waste recycling" is the technical problem that this invention aims to solve. Summary of the Invention

[0004] The purpose of this invention is to provide an efficient method and system for treating agricultural waste, in order to solve the problem of "how to reduce the workload of agricultural waste recycling" mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A method for efficient treatment of agricultural waste, the method comprising:

[0007] Develop an inspection plan, use drones to collect video surveillance data in agricultural production areas, capture snapshots, divide the area into several single areas, identify the responsible personnel for each single area based on the allocation data within the agricultural production area, create a set of shape features of agricultural waste, use object detection algorithms to identify agricultural waste in each snapshot and define it as usable waste, and establish a correspondence between usable waste and responsible personnel.

[0008] A collaborative waste treatment platform is established, which opens up registration channels for the responsible personnel, records personal information, and receives treatment plans uploaded by the responsible personnel. The treatment plan includes at least: type, treatment location, treatment method, and sharing distance. The collaborative scope is defined with the treatment location as the center and the sharing distance as the radius.

[0009] Within the scope of collaboration, available waste of the same type is identified to obtain target waste. Based on the correspondence, the person in charge of the single area where the target waste is located is defined as the target person. The target waste, the treatment plan, and the target person are integrated to generate collaborative reminder audio data. The home address of the target person is extracted from the personal information and inserted into the inspection plan. When the real-time location of the drone coincides with the home address, the collaborative 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, extracting snapshots, and dividing the data into several individual areas include:

[0011] The types of available waste are identified, including at least straw, livestock and poultry manure and planting waste. Based on preset return-to-field rules, a return-to-field process is generated, and a monitoring mechanism is built based on drones.

[0012] Draw a farmland zoning map within the agricultural production area, dividing the snapshot into several single areas, each of which corresponds to one mu (approximately 0.16 acres) of farmland;

[0013] Determine whether the responsible personnel for two adjacent single areas are the same. If so, merge the single areas.

[0014] Furthermore, the method also includes:

[0015] Using the personal information of the responsible personnel, tags are generated and embedded into a single area;

[0016] Define the single area corresponding to the available waste as the target area, integrate all target areas within the agricultural production area, and generate an inspection plan.

[0017] Furthermore, the steps of creating a set of shape features for agricultural waste, using object detection algorithms to identify agricultural waste in each snapshot and defining it as usable waste, and establishing a correspondence between usable waste and responsible personnel include:

[0018] The risk factors for collecting the available waste include at least: storage time and quantity;

[0019] Based on the aforementioned risk factors, a risk level is configured for each individual area, including high, medium, and low risk levels, and priority personnel are identified.

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

[0021] Furthermore, the step of defining the cooperation area 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 exceeds a set value, the shared distance corresponding to the next level is activated.

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

[0025] By utilizing the voice communication module pre-integrated in the drone, a dialogue is established between the person in charge and the target personnel corresponding to the processing plan;

[0026] Record the conversation and upload it to the waste collaborative processing platform.

[0027] Furthermore, the method also includes:

[0028] Broadcast the collaborative reminder audio data to all target personnel, determine whether a reply has been received, and iterate through the personnel who have replied.

[0029] If so, remove the home address of the respondent from the inspection plan.

[0030] Furthermore, the system includes:

[0031] A module is established to formulate inspection plans. It uses drones to collect video surveillance data in agricultural production areas, captures snapshots, divides the data into several single areas, identifies the responsible personnel for each single area based on the allocation data within the agricultural production area, creates a set of shape features of agricultural waste, uses object detection algorithms to identify agricultural waste in each snapshot and define it as usable waste, and establishes a correspondence between usable waste and responsible personnel.

[0032] The delineation module is used to build a collaborative waste treatment platform, open up registration channels for the responsible personnel, record personal information, and receive treatment plans uploaded by the responsible personnel. The treatment plan includes at least: type, treatment location, treatment method, and sharing distance. The collaborative scope is delineated with the treatment location as the center and the sharing distance as the radius.

[0033] The playback module is used to traverse the available waste of the same type within the collaborative range to obtain the target waste. Based on the correspondence, the person in charge of the single area where the target waste is located is defined as the target person. The target waste, the treatment plan, and the target person are integrated to generate collaborative reminder audio data. The home address of the target person is extracted from the personal information and inserted into the inspection plan. When the real-time location of the drone coincides with the home address, the collaborative reminder audio data is played.

[0034] Furthermore, the establishment module includes:

[0035] The monitoring unit 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 return-to-field process based on preset return-to-field rules, and build a monitoring mechanism based on drones;

[0036] The drawing unit is used to draw a farmland zoning map within the agricultural production area, dividing the snapshot into several single areas, each of which corresponds to one mu of farmland.

[0037] The merging unit is used to determine whether the responsible personnel corresponding to two adjacent single areas are the same. If so, the single areas are merged.

[0038] A collection unit is used to collect risk factors of the available waste, wherein the risk factors include at least: storage time and quantity;

[0039] The configuration unit is used to configure the risk level of each single area according to the risk factors, wherein the risk levels include: high, medium and low, and to identify the personnel to be dealt with first.

[0040] The distribution unit is used to generate processing information based on the risk factors and types, and distribute the processing information to priority personnel.

[0041] Furthermore, the delineation module includes:

[0042] The building unit is used to build a multi-level shared distance, where each level corresponds to a shared distance and a set value;

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

[0044] Compared with the prior art, the beneficial effects of the present invention are:

[0045] By establishing inspection plans, agricultural waste in agricultural production areas can be precisely monitored, covering a wide range and highly efficient. Utilizing drones for inspections reduces labor costs and allows for timely monitoring of waste disposal progress. Identifying usable waste provides a regulatory basis for agricultural waste management, preventing environmental pollution. Building a collaborative waste disposal platform enhances community cooperation, promotes resource sharing, reduces equipment idle time, and significantly lowers waste disposal costs. Playing collaborative reminder audio data ensures that disposal plans are delivered to every responsible person, preventing information misunderstandings caused by elderly individuals' inability to use smart devices. This greatly improves the efficiency of agricultural waste disposal within the region, reduces misunderstandings and omissions, and promotes the stable development of smart agriculture. Attached Figure Description

[0046] Figure 1 A flowchart illustrating an efficient agricultural waste treatment method provided in an embodiment of the present invention;

[0047] Figure 2 This is a first sub-flowchart of the efficient agricultural waste treatment method provided in an embodiment of the present invention;

[0048] Figure 3 This is a second sub-flowchart of the efficient agricultural waste treatment method provided in this embodiment of the invention;

[0049] Figure 4 This is a third sub-process flowchart of the efficient agricultural waste treatment method provided in the embodiments of the present invention;

[0050] Figure 5 This is a block diagram of the efficient agricultural waste treatment system provided in an embodiment of the present invention;

[0051] Figure 6 A block diagram illustrating the components of a module within an efficient agricultural waste treatment system provided in this embodiment of the invention;

[0052] Figure 7 A block diagram illustrating the components of the delineated modules in the efficient agricultural waste treatment system provided in this embodiment of the invention;

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

[0054] To make the objectives, technical solutions, and advantages of this invention clearer, the 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 merely illustrative and not intended to limit the invention.

[0055] In Example 1, Figure 1 The implementation flow of the efficient agricultural waste treatment method provided by the embodiment of the present invention is shown below in detail:

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

[0057] Based on the terrain, crop types, and specific monitoring needs within the agricultural production area, the drone's waypoints are determined. Combined with take-off and landing points, a drone inspection plan is established, and the drone is controlled to fly along the predetermined route. The drone collects video surveillance data within the agricultural production area. During flight, when the drone reaches a specific location or flight time point, a snapshot of the video surveillance data is taken. The specific location refers to the area above the farmland to be inspected. From the snapshot, multiple single-area sections are segmented, each corresponding to one acre of farmland. Based on the allocation data for each acre of farmland (i.e., contractor information), the person responsible for each acre of farmland is determined; this person is the contractor or landowner for each acre of farmland.

[0058] A large number of sample images of agricultural waste were collected from publicly available data, including common wastes such as straw, fruit and vegetable residues, agricultural film, and packaging bags. The shape features of agricultural waste, such as color, texture, edge contour, shape, and size, were extracted and integrated to generate a shape feature set. Using deep learning object detection algorithms, image features in snapshots were extracted, and by comparing with the shape feature set, usable waste in each snapshot was identified. Data was then back-tracked to determine the responsible personnel for each usable waste, thus clarifying the management and recycling responsibilities of usable waste.

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

[0060] A collaborative waste management platform will be established, which will be mainly used to publish collaborative tasks and respond to management plans. The platform will open up registration channels for responsible personnel within agricultural production areas, allowing them to register independently and record the personal information of each responsible person, including name, contact information, region, and responsible plot.

[0061] When a person in charge processes agricultural waste in their assigned area, they publish a processing plan on the waste collaborative processing platform. The plan must specify in detail the type of agricultural waste (e.g., straw, fruit and vegetable residues, and agricultural film), the processing location (the location of the assigned area), the processing method (e.g., composting, feed production, fuel production, or centralized recycling), and the sharing distance (the desired range for collaboration with other responsible persons). The collaborative scope is defined with the processing location as the center and the sharing distance as the radius. The sharing distance is determined by professionals based on the regional terrain and the area of ​​the agricultural production zone.

[0062] S300: Within the scope of the collaboration, traverse the available waste of the same type to obtain the target waste. Based on the correspondence, define the person in charge of the single area where the target waste is located as the target person. Integrate the target waste, the treatment plan, and the target person to generate collaborative reminder audio data. Extract the target person's home address from the personal information and insert the home address into the inspection plan. When the drone's real-time location coincides with the home address, play the collaborative reminder audio data.

[0063] Within the scope of collaboration, identify agricultural waste of the same type as available waste and define it as target waste. Define the personnel responsible for the specific area containing the target waste as target personnel; in other words, target personnel also have the same type of agricultural waste to process. Write the target waste, processing plan, and target personnel into a preset template to generate an invitation message, which is then published on the waste collaborative processing platform. Furthermore, using this invitation message, generate collaborative reminder audio data. On the waste collaborative processing platform, iterate through the target personnel's home addresses and control a drone to travel there. Upon arrival, play the collaborative reminder audio data. It is important to note that during this process, no responsible personnel can access the target personnel's home addresses.

[0064] Specifically, when a farmer prepares to clean up agricultural waste in the field, they will post a processing plan on the waste collaborative processing platform, find other farmers in the area with the same agricultural waste, and send them an invitation text message asking if they want to participate in the processing. For some middle-aged and elderly people who do not use smart devices, the invitation text message will be broadcast via drone. The benefit of this approach is that it can promote the sharing of agricultural resources by enhancing community cooperation, thereby achieving efficient processing of agricultural waste.

[0065] In Example 2, Figure 2The implementation flow of the efficient agricultural waste treatment method provided by the embodiment of the present invention is shown below. The steps of formulating an inspection plan, using drones to collect video monitoring data in the agricultural production area, extracting snapshots, and dividing the data into several single areas are described in detail below:

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

[0067] Identify the specific types of usable waste, such as straw, livestock and poultry manure, and planting waste (fruit peels, spoiled fruit, and vegetable waste). Based on pre-set rules for returning waste to the field, such as straw crushing and returning to the field, manure composting and returning to the field, and organic mulching of fruit and vegetable residues, formulate targeted return-to-field procedures. Combine drone technology to build a monitoring mechanism, which uses drones to monitor the processing of the target personnel and determine whether it conforms to the return-to-field procedures.

[0068] S102: Draw a farmland zoning map within the agricultural production area, dividing the snapshot into several single areas, where each single area corresponds to one mu of farmland.

[0069] Using publicly available data, farmland zoning maps are drawn, and image segmentation techniques (such as edge detection algorithms) are used to divide the snapshot into multiple single regions, taking into account features such as land boundaries, crop distribution, and field roads.

[0070] S103: Determine whether the responsible personnel for two adjacent single areas are the same. If so, merge the single areas.

[0071] If the same person is in charge of adjacent single areas, the two single areas will be merged; in other words, adjacent farmland under the same person in charge will be treated uniformly.

[0072] In Example 3, Figure 2 The present invention illustrates the implementation flow of an efficient agricultural waste treatment method according to an embodiment of the present invention. The following details the steps of creating a set of external features of agricultural waste, using an object detection algorithm to identify agricultural waste in each snapshot and define it as usable waste, and establishing a correspondence between usable waste and responsible personnel:

[0073] S104: Collect risk factors for the available waste, wherein the risk factors include at least: storage time and quantity.

[0074] After identifying usable waste, the risk factors for each usable waste are determined. These risk factors include the storage time and quantity of agricultural waste. The storage time can be calculated from video surveillance data, while the quantity can be characterized by the number of pixels corresponding to the usable waste in the snapshot.

[0075] S105: Based on the aforementioned risk factors, configure the risk level for each individual area, wherein the risk level includes: high, medium, and low, and identify priority personnel for handling the situation.

[0076] Establish a correspondence between risk factors and risk levels; for example, if the storage time is more than 3 days, the risk level is low; more than 5 days, the risk level is medium; and more than 10 days, the risk level is high. Define the personnel responsible for high-risk levels as priority handling personnel; in other words, when agricultural waste is stored for a long time or in large quantities, the corresponding responsible personnel should be invited to handle it first.

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

[0078] Generate processing messages based on risk factors and types; for example, if the type is straw and the risk factor is 10 days of storage, the processing message would be: "The straw in your field has been stored for 10 days; remind the responsible personnel to handle it in a timely manner."

[0079] In the above process, if multiple responsible persons want to join the processing plan, those who are prioritized for processing will be given priority.

[0080] In Example 4, Figure 3 The implementation flow of the efficient agricultural waste treatment method provided by the embodiment of the present invention is shown below. The following details the step of delineating the cooperation scope with the treatment location as the center and the shared distance as the radius:

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

[0082] 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 exceeds a set value, activate the shared distance corresponding to the next level.

[0084] The sharing distance is determined based on the quantity of available waste, with a larger quantity requiring a larger sharing distance. Furthermore, when the quantity of available waste is large, it indicates a greater demand for processing that type of waste, thus requiring a larger sharing distance.

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

[0086] S301: Utilize the voice communication module pre-integrated in the drone to establish a dialogue between the person in charge and the target personnel corresponding to the processing plan.

[0087] Activate the voice communication module to establish a voice call between the responsible personnel and the target personnel. Once both parties accept the call, they can start talking directly.

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

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

[0090] In Example 6, unlike Example 1, the method further includes:

[0091] Using the personal information of the responsible personnel, tags are generated and embedded into a single area;

[0092] Define the single area corresponding to the available waste as the target area, integrate all target areas within the agricultural production area, and generate an inspection plan.

[0093] To improve data retrieval efficiency, tags containing personal information are embedded into single-area regions in the snapshot. Using the target area as a waypoint and combining the take-off and landing points of the drone, a patrol route is generated, and the shooting task corresponding to each waypoint is determined to generate an inspection plan.

[0094] In Example 7, unlike Example 1, the method further includes:

[0095] Broadcast the collaborative reminder audio data to all target personnel, determine whether a reply has been received, and iterate through the personnel who have replied.

[0096] If so, remove the home address of the respondent from the inspection plan.

[0097] Through the waste collaborative processing platform, collaborative reminder audio data is pushed to all target personnel via message pop-ups. If a response is received from the target personnel, drones will no longer be used to broadcast messages to their home addresses.

[0098] Figure 5This diagram illustrates the structural composition of an efficient agricultural waste treatment system provided in an embodiment of the present invention. The efficient agricultural waste treatment system 1 includes:

[0099] Module 11 is established to formulate inspection plans. It uses drones to collect video monitoring data in agricultural production areas, captures snapshots, divides them into several single areas, finds the responsible personnel for each single area through the allocation data in agricultural production areas, creates a set of shape features of agricultural waste, uses object detection algorithms to identify agricultural waste in each snapshot and define it as usable waste, and establishes the correspondence between usable waste and responsible personnel.

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

[0101] The playback module 13 is used to traverse the available waste of the same type within the collaborative range 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 correspondence, integrate the target waste, the processing plan and the target person, generate collaborative 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 collaborative reminder audio data when the real-time position of the drone coincides with the home address.

[0102] Figure 6 This diagram illustrates the structural composition of an efficient agricultural waste treatment system provided in an embodiment of the present invention. The establishment module 11 includes:

[0103] 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. Based on preset return-to-field rules, it generates a return-to-field process and constructs a monitoring mechanism based on drones.

[0104] The drawing unit 112 is used to draw a farmland zoning map within the agricultural production area, dividing the snapshot into several single areas, each of which corresponds to one mu of farmland.

[0105] The merging unit 113 is used to determine whether the responsible personnel corresponding to two adjacent single areas are the same. If so, the single areas are merged.

[0106] The collection unit 114 is used to collect risk factors of the available waste, wherein the risk factors include at least: storage time and quantity;

[0107] Configuration unit 115 is used to configure the risk level of each single area according to the risk factors, wherein the risk levels include: high, medium and low, and to identify priority personnel for handling.

[0108] The distribution unit 116 is used to generate processing information based on the risk factors and types, and distribute the processing information to priority personnel.

[0109] Figure 7 This diagram illustrates the structural composition of an efficient agricultural waste treatment system provided in an embodiment of the present invention. The delineation module 12 includes:

[0110] 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 used to activate the shared distance corresponding to the next level when the amount of available waste is greater than a set value.

[0112] Figure 8 This diagram illustrates the structural composition of an efficient agricultural waste treatment system provided in an embodiment of the present invention. The playback module 13 includes:

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

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

[0115] The establishment module 11 is mainly used to complete step S100, the delineation 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 acquisition unit 114 is mainly used to complete step S104, the configuration unit 115 is mainly used to complete step S105, and the distribution unit 116 is mainly used to complete step S106.

[0117] The building 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 embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above 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 embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should 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 within the protection scope of the present invention.

Claims

1. A method for efficient treatment of agricultural waste, characterized in that, The method includes: Develop an inspection plan, use drones to collect video surveillance data in agricultural production areas, capture snapshots, divide the area into several single areas, identify the responsible personnel for each single area based on the allocation data within the agricultural production area, create a set of shape features of agricultural waste, use object detection algorithms to identify agricultural waste in each snapshot and define it as usable waste, and establish a correspondence between usable waste and responsible personnel. A collaborative waste treatment platform is established, which opens up registration channels for the responsible personnel, records personal information, and receives treatment plans uploaded by the responsible personnel. The treatment plan includes at least: type, treatment location, treatment method, and sharing distance. The collaborative scope is defined with the treatment location as the center and the sharing distance as the radius. Within the scope of collaboration, available waste of the same type is identified to obtain target waste. Based on the correspondence, the person in charge of the single area where the target waste is located is defined as the target person. The target waste, the treatment plan, and the target person are integrated to generate collaborative reminder audio data. The home address of the target person is extracted from the personal information and inserted into the inspection plan. When the real-time location of the drone coincides with the home address, the collaborative reminder audio data is played.

2. The efficient agricultural waste treatment method according to claim 1, characterized in that, The steps of formulating an inspection plan, using drones to collect video surveillance data within the agricultural production area, extracting snapshots, and dividing the data into several individual areas include: The types of available waste are identified, including at least straw, livestock and poultry manure and planting waste. Based on preset return-to-field rules, a return-to-field process is generated, and a monitoring mechanism is built based on drones. Draw a farmland zoning map within the agricultural production area, dividing the snapshot into several single areas, each of which corresponds to one mu (approximately 0.16 acres) of farmland; Determine whether the responsible personnel for two adjacent single areas are the same. If so, merge the single areas.

3. The method for efficient treatment of agricultural waste according to claim 2, characterized in that, The method further includes: Using the personal information of the responsible personnel, tags are generated and embedded into a single area; Define the single area corresponding to the available waste as the target area, integrate all target areas within the agricultural production area, and generate an inspection plan.

4. The method for efficient treatment of agricultural waste according to claim 3, characterized in that, The steps of creating a set of shape features for agricultural waste, using object detection algorithms to identify agricultural waste in each snapshot and defining it as usable waste, and establishing a correspondence between usable waste and responsible personnel include: The risk factors for collecting the available waste include at least: storage time and quantity; Based on the aforementioned risk factors, a risk level is configured for each individual area, including high, medium, and low risk levels, and priority personnel are identified. Using the aforementioned risk factors and types, processing information is generated and distributed to priority personnel.

5. The efficient agricultural waste treatment method according to claim 4, characterized in that, The step of defining the cooperation area 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 exceeds a set value, the shared distance corresponding to the next level is activated.

6. The method for efficient treatment of agricultural waste according to claim 1, characterized in that, The step of integrating target waste, treatment plans, and target personnel to generate collaborative alert audio data includes: By utilizing the voice communication module pre-integrated in the drone, a dialogue is established between the person in charge and the target personnel corresponding to the processing plan; Record the conversation and upload it to the waste collaborative processing platform.

7. The method for efficient treatment of agricultural waste according to claim 1, characterized in that, The method further includes: Broadcast the collaborative reminder audio data to all target personnel, determine whether a reply has been received, and iterate through the personnel who have replied. If so, remove the home address of the respondent from the inspection plan.

8. A high-efficiency agricultural waste treatment system, characterized in that, The system includes: A module is established to formulate inspection plans. It uses drones to collect video surveillance data in agricultural production areas, captures snapshots, divides the data into several single areas, identifies the responsible personnel for each single area based on the allocation data within the agricultural production area, creates a set of shape features of agricultural waste, uses object detection algorithms to identify agricultural waste in each snapshot and define it as usable waste, and establishes a correspondence between usable waste and responsible personnel. The delineation module is used to build a collaborative waste treatment platform, open up registration channels for the responsible personnel, record personal information, and receive treatment plans uploaded by the responsible personnel. The treatment plan includes at least: type, treatment location, treatment method, and sharing distance. The collaborative scope is delineated with the treatment location as the center and the sharing distance as the radius. The playback module is used to traverse the available waste of the same type within the collaborative range to obtain the target waste. Based on the correspondence, the person in charge of the single area where the target waste is located is defined as the target person. The target waste, the treatment plan, and the target person are integrated to generate collaborative reminder audio data. The home address of the target person is extracted from the personal information and inserted into the inspection plan. When the real-time location of the drone coincides with the home address, the collaborative reminder audio data is played.

9. The high-efficiency agricultural waste treatment system according to claim 8, characterized in that, The establishment module includes: The monitoring unit 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 return-to-field process based on preset return-to-field rules, and build a monitoring mechanism based on drones; The drawing unit is used to draw a farmland zoning map within the agricultural production area, dividing the snapshot into several single areas, each of which corresponds to one mu of farmland. The merging unit is used to determine whether the responsible personnel corresponding to two adjacent single areas are the same. If so, the single areas are merged. A collection unit is used to collect risk factors of the available waste, wherein the risk factors include at least: storage time and quantity; The configuration unit is used to configure the risk level of each single area according to the risk factors, wherein the risk levels include: high, medium and low, and to identify the personnel to be dealt with first. The distribution unit is used to generate processing information based on the risk factors and types, and distribute the processing information to priority personnel.

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

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