Method, equipment, medium and product for evaluating collection and transportation cost of mountain agricultural residual biomass

Abstract

The invention discloses a method, a device, a medium and a product for evaluating the collection and transportation cost of mountain agricultural residual biomass, and relates to the field of agricultural residual biomass management.The method comprises the steps that a to-be-evaluated mountain farmland image shot by an unmanned aerial vehicle is acquired; obtaining the area of the mountain farmland, the passable road length of the motor vehicle and the impassable road length of the motor vehicle based on the to-be-evaluated mountain farmland image shot by the unmanned aerial vehicle; the total agricultural residual biomass yield is obtained based on the area of the mountain farmland; further, the cost of manually collecting and transporting the agricultural residual biomass and the cost of transporting the agricultural residual biomass by a motor vehicle are obtained; based on the cost of manually collecting and transporting the agricultural residual biomass and the cost of transporting the agricultural residual biomass by a motor vehicle, the collection and transportation cost of the agricultural residual biomass in the mountain rural area is obtained. According to the method, the collection and transportation cost of the mountain agricultural residual biomass can be conveniently and accurately evaluated.

Description

Technical Field

[0001] The present application relates to the field of agricultural residual biomass management, and particularly to a method, device, medium and product for evaluating the collection and transportation costs of mountain agricultural residual biomass. Background Art

[0002] In the field of agricultural residual biomass management, especially in mountainous rural areas with complex terrains, accurately evaluating the collection and transportation costs of residual biomass is a complex and crucial task. Due to terrain restrictions, motor vehicles are difficult to reach the production and placement sites of agricultural residual biomass. Therefore, on roads where motor vehicles are impassable, the collection and transportation of agricultural residual biomass mainly rely on manual labor, which makes the evaluation of the collection and transportation costs of mountain rural agricultural residual biomass complex and inaccurate. With the development of drone technology, its applications in the agricultural field have gradually increased, including farmland monitoring, crop spraying, and material transportation. The introduction of drone technology has made agricultural production more convenient, time-saving and labor-saving. However, there is currently a lack of a method for using drone technology to evaluate the collection and transportation costs of agricultural residual biomass, and it is impossible to achieve a convenient and accurate evaluation of the collection and transportation costs of mountain agricultural residual biomass. Summary of the Invention

[0003] The purpose of the present application is to provide a method, device, medium and product for evaluating the collection and transportation costs of mountain agricultural residual biomass, which can achieve a convenient and accurate evaluation of the collection and transportation costs of mountain agricultural residual biomass.

[0004] To achieve the above purpose, the present application provides the following solutions:

[0005] In the first aspect, the present application provides a method for evaluating the collection and transportation costs of mountain agricultural residual biomass, including:

[0006] Obtaining images of mountain farmland to be evaluated taken by a drone, the agricultural residual biomass yield per unit area, manual data and motor vehicle data; the manual data includes the amount of agricultural residual biomass collected and transported per person per trip, the working hours per person per day, and the cost per person per day; the motor vehicle data includes the amount of agricultural residual biomass transported per motor vehicle per trip and the cost of the driver per day;

[0007] Based on the images of the mountain farmland to be evaluated taken by the drone, obtaining the area of the mountain farmland;

[0008] Based on the area of the mountain farmland and the agricultural residual biomass yield per unit area, obtaining the total agricultural residual biomass yield;

[0009] Using an image processing method, based on the images of the mountain farmland to be evaluated taken by the drone, obtaining the passable road length and impassable road length of motor vehicles;

[0010] Based on the total agricultural residual biomass yield, the artificial data, and the length of impassable roads for the motor vehicles, obtain the cost of manually collecting and transporting agricultural residual biomass;

[0011] Based on the total agricultural residual biomass yield, the motor vehicle data, and the length of passable roads for the motor vehicles, obtain the cost of transporting agricultural residual biomass by motor vehicles;

[0012] Based on the cost of manually collecting and transporting agricultural residual biomass and the cost of transporting agricultural residual biomass by motor vehicles, obtain the collection and transportation cost of agricultural residual biomass in mountainous rural areas.

[0013] Optionally, the image processing method includes: an edge detection method and a threshold segmentation method.

[0014] Optionally, adopt an image processing method to obtain the length of passable roads and the length of impassable roads for motor vehicles based on the image of the mountainous farmland to be evaluated captured by the drone; including:

[0015] Adopt an image processing method to obtain the road area in the image of the mountainous farmland to be evaluated captured by the drone based on the image of the mountainous farmland to be evaluated captured by the drone;

[0016] Based on the road area in the image of the mountainous farmland to be evaluated captured by the drone, obtain the passable road area and the impassable road area for motor vehicles;

[0017] Based on the passable road area and the impassable road area for the motor vehicles, obtain the length of passable roads and the length of impassable roads for motor vehicles.

[0018] Optionally, based on the passable road area and the impassable road area for the motor vehicles, obtaining the length of passable roads and the length of impassable roads for motor vehicles includes:

[0019] Convert the passable road area and the impassable road area for the motor vehicles into vector data of the passable roads for the motor vehicles and vector data of the impassable roads for the motor vehicles;

[0020] Based on the vector data of the passable roads for the motor vehicles and the vector data of the impassable roads for the motor vehicles, obtain the linear features of the passable roads for the motor vehicles and the linear features of the impassable roads for the motor vehicles;

[0021] Based on the linear features of the passable roads for the motor vehicles and the linear features of the impassable roads for the motor vehicles, obtain the length of passable roads and the length of impassable roads for motor vehicles.

[0022] Optionally, based on the total agricultural residual biomass yield, the manual data, and the length of impassable roads for motor vehicles, the cost of manually collecting and transporting agricultural residual biomass is obtained, including:

[0023] Based on the length of impassable roads for the motor vehicle and the working hours per person per day, the number of trips for each person to collect and transport per day is obtained;

[0024] Based on the number of trips for each person to collect and transport per day, the amount of agricultural residual biomass collected and transported per person per trip, and the total agricultural residual biomass yield, the total number of workers is obtained;

[0025] Based on the total number of workers and the cost per person per day, the cost of manually collecting and transporting agricultural residual biomass is obtained.

[0026] Optionally, based on the total agricultural residual biomass yield, the motor vehicle data, and the length of passable roads for motor vehicles, the cost of transporting agricultural residual biomass by motor vehicle is obtained, expressed as:

[0027] Based on the total agricultural residual biomass yield and the amount of agricultural residual biomass transported per trip by the motor vehicle, the number of trips for motor vehicle transportation is obtained;

[0028] Based on the length of passable roads for the motor vehicle, the cost per trip of the motor vehicle is obtained;

[0029] Based on the number of trips for motor vehicle transportation, the cost per trip of the motor vehicle, and the daily cost of the driver, the cost of transporting agricultural residual biomass by motor vehicle is obtained.

[0030] Optionally, the cost of collecting and transporting agricultural residual biomass in mountainous rural areas is expressed as:

[0031] C = C1 + C2;

[0032] where C is the cost of collecting and transporting agricultural residual biomass in mountainous rural areas, C1 is the cost of manually collecting and transporting agricultural residual biomass, and C2 is the cost of transporting agricultural residual biomass by motor vehicle.

[0033] In a second aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method for evaluating the cost of collecting and transporting agricultural residual biomass in mountainous areas as described in any one of the above.

[0034] In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method for evaluating the cost of collecting and transporting agricultural residual biomass in mountainous areas as described in any one of the above are implemented.

[0035] In a fourth aspect, the present application provides a computer program product, including a computer program, which when executed by a processor implements the steps of the method for evaluating the collection and transportation cost of mountain agricultural residual biomass described in any one of the above.

[0036] According to the specific embodiments provided by the present application, the present application has the following technical effects:

[0037] The present application provides a method, device, medium and product for evaluating the collection and transportation cost of mountain agricultural residual biomass. By using the images of the mountain farmland to be evaluated taken by an unmanned aerial vehicle, the total output of agricultural residual biomass is obtained, and further the collection and transportation cost of mountain rural agricultural residual biomass is obtained, which can solve the problem that there is a lack of a method for evaluating the collection and transportation cost of agricultural residual biomass using unmanned aerial vehicle technology in the prior art, so as to realize the convenient and accurate evaluation of the collection and transportation cost of mountain agricultural residual biomass. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0039] Figure 1 It is a schematic flowchart of a method for evaluating the collection and transportation cost of mountain agricultural residual biomass in an embodiment of the present application.

[0040] Figure 2 It is a schematic structural diagram of an application scenario provided by an embodiment of the present application.

[0041] Figure 3 It is a schematic structural diagram of a computer device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0043] To make the above objects, features and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0044] In an exemplary embodiment, asFigure 1 As shown in Figure 1 , a method for evaluating the collection and transportation cost of mountain agricultural residual biomass is provided. This method is executed by a computer device, which can be specifically executed by a computer device such as a terminal or a server alone, or jointly executed by a terminal and a server. It includes the following steps 100 to 106. Among them:

[0045] Step 100: Obtain the images of the mountain farmland to be evaluated taken by the drone, the agricultural residual biomass yield per unit area, manual data, and motor vehicle data. The manual data includes the amount of agricultural residual biomass collected and transported per person per trip, the working hours per person per day, and the cost per person per day. The motor vehicle data includes the amount of agricultural residual biomass transported per trip by the motor vehicle and the cost of the driver per day.

[0046] Step 101: Based on the images of the mountain farmland to be evaluated taken by the drone, obtain the area of the mountain farmland.

[0047] Step 102: Based on the area of the mountain farmland and the agricultural residual biomass yield per unit area, obtain the total agricultural residual biomass yield.

[0048] Step 103: Adopt an image processing method to obtain the passable road length and the impassable road length of the motor vehicle based on the images of the mountain farmland to be evaluated taken by the drone.

[0049] Step 104: Based on the total agricultural residual biomass yield, the manual data, and the impassable road length of the motor vehicle, obtain the cost of manual collection and transportation of agricultural residual biomass.

[0050] Step 105: Based on the total agricultural residual biomass yield, the motor vehicle data, and the passable road length of the motor vehicle, obtain the cost of motor vehicle transportation of agricultural residual biomass.

[0051] Step 106: Based on the cost of manual collection and transportation of agricultural residual biomass and the cost of motor vehicle transportation of agricultural residual biomass, obtain the collection and transportation cost of mountain rural agricultural residual biomass.

[0052] Implementing the above steps 100 to 106 can achieve a convenient and accurate evaluation of the collection and transportation cost of mountain agricultural residual biomass.

[0053] In another exemplary embodiment of the present application, an image processing method is adopted to obtain the passable road length and the impassable road length of the motor vehicle based on the images of the mountain farmland to be evaluated taken by the drone, including the following steps:

[0054] Step 1: Using an image processing method, based on the images of the mountain farmland to be evaluated captured by the drone, obtain the road areas in the images of the mountain farmland to be evaluated captured by the drone. Among them, the image processing method may include: edge detection method and threshold segmentation method. In this application, when obtaining the road areas in the images of the mountain farmland to be evaluated captured by the drone, the images of the mountain farmland to be evaluated captured by the drone can be analyzed in combination with a geographic information system.

[0055] Step 2: Based on the road areas in the images of the mountain farmland to be evaluated captured by the drone, obtain the passable road areas for motor vehicles and the non-passable road areas for motor vehicles.

[0056] In this application, according to the characteristics of the road such as width, shape and material, and the surrounding environment such as vehicle traffic conditions and traffic signs, the road is divided into the passable road areas for motor vehicles and the non-passable road areas for motor vehicles.

[0057] Step 3: Based on the passable road areas for motor vehicles and the non-passable road areas for motor vehicles, obtain the passable road length for motor vehicles and the non-passable road length for motor vehicles. Among them:

[0058] Step 31: Convert the passable road areas for motor vehicles and the non-passable road areas for motor vehicles into vector data of the passable roads for motor vehicles and vector data of the non-passable roads for motor vehicles.

[0059] Step 32: Based on the vector data of the passable roads for motor vehicles and the vector data of the non-passable roads for motor vehicles, obtain the linear features of the passable roads for motor vehicles and the linear features of the non-passable roads for motor vehicles.

[0060] Step 33: Based on the linear features of the passable roads for motor vehicles and the linear features of the non-passable roads for motor vehicles, obtain the passable road length for motor vehicles and the non-passable road length for motor vehicles. In this application, in the GIS software, the passable road length for motor vehicles and the non-passable road length for motor vehicles can be directly calculated by using the attribute table of the linear features.

[0061] In another exemplary embodiment of this application, the implementation process of step 104 may include:

[0062] Step 1: Based on the non-passable road length for motor vehicles and the working hours per person per day, obtain the number of trips collected and transported per person per day.

[0063] Step 2: Based on the number of trips collected and transported per person per day, the amount of agricultural residual biomass collected and transported per person per trip, and the total output of agricultural residual biomass, obtain the total number of workers.

[0064] Step 3: Based on the total number of workers and the cost per person per day, obtain the cost of manual collection and transportation of agricultural residual biomass.

[0065] In another exemplary embodiment of the present application, the implementation process of the above step 105 may include:

[0066] Step 1: Based on the total output of agricultural residual biomass and the amount of agricultural residual biomass transported by a motor vehicle per trip, obtain the number of trips of the motor vehicle.

[0067] Step 2: Based on the passable road length of the motor vehicle, obtain the cost per trip of the motor vehicle.

[0068] Step 3: Based on the number of trips of the motor vehicle, the cost per trip of the motor vehicle, and the cost of the driver per day, obtain the cost of transporting agricultural residual biomass by the motor vehicle.

[0069] In an exemplary embodiment, as Figure 2 shown, taking the case where the corn straw in the mountain farmland of a certain rural area A needs to be collected and transported to the nearby straw comprehensive utilization factory in area B within one day as an example, the implementation process and advantages of the method for evaluating the collection and transportation cost of mountain agricultural residual biomass provided by the present application are specifically described. Among them:

[0070] Step 1: Use a drone to take pictures of the mountain farmland in rural area A, and obtain the drone captured images of the mountain farmland in rural area A.

[0071] Step 2: According to the drone captured images, combined with the remote sensing model and geographic information system, obtain that the area of corn planted in the mountain farmland is 1 mu and the corn straw that can be produced is 1 ton.

[0072] Step 3: According to the drone captured images, perform analysis in combination with the geographic information system, and use image processing technology for calculation. As Figure 2 shown, obtain that the impassable road of the motor vehicle is 1 km and the passable road of the motor vehicle is 40 km.

[0073] Step 4: According to the fact that it takes 45 - 50 minutes (including rest time) for a porter to collect and carry the corn straw to the location of the truck in one trip, and the porter works 8 hours a day, it can be known that each worker can carry 10 trips of corn straw per day. According to 50 catties of corn straw that can be carried in each trip, it can be known that 4 workers are needed to carry 1 ton of this corn straw within one day. Assuming the wage of the worker is 120 yuan / day / person, then on the impassable road of the motor vehicle, the cost of manual collection and transportation of corn straw is C1 = 4 * 120 = 480 yuan.

[0074] Step 5: Given that a truck can transport 0.5 tons of corn straw per trip, it can be known that 2 trips are required to transport 1 ton of corn. Given that the transportation cost per trip of the truck is 30 yuan and the cost of the truck driver is 120 yuan per day, on the roads where motor vehicles can pass, the cost of transporting corn straw by motor vehicle is C2 = 60 + 120 = 180 yuan.

[0075] Step 6: Based on the cost of manually collecting and transporting corn straw and the cost of transporting corn straw by motor vehicle, the total cost of collecting and transporting corn straw in mountain farmland can be calculated, that is, C = C1 + C2 = 480 + 180 = 660 yuan.

[0076] The present application uses the images captured by the drone and combines with the geographic information system to achieve an accurate assessment of the collection and transportation costs of agricultural residual biomass in mountainous rural areas. Through the images captured by the drone and combined with the geographic information system, it is possible to effectively evaluate the mountain farmland area, the output of agricultural residual biomass, the length of motor vehicle-passable roads and the length of non-passable roads, so as to achieve the assessment of the costs of using different methods for collection and transportation, and further achieve the assessment of the total cost of collecting and transporting agricultural residual biomass in mountainous rural areas. By accurately assessing the total cost of collecting and transporting agricultural residual biomass in mountainous rural areas, it provides data support for the collection and transportation of agricultural residual biomass, optimizes resource allocation, improves the efficiency of resource use, further promotes technological innovation and efficiency improvement in the field of agricultural residual biomass management, and contributes to the sustainable development of mountainous rural areas.

[0077] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 3 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data for evaluating the collection and transportation costs of mountain agricultural residual biomass. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a method for evaluating the collection and transportation costs of mountain agricultural residual biomass.

[0078] Those skilled in the art can understand, Figure 3The structure shown is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0079] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0080] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0081] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0082] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAM), magnetoresistive random access memories (MRAM), ferroelectric random access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0083] The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0084] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, 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, it should be considered as the scope described in this specification.

[0085] Specific examples are used in this article to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for evaluating the collection and transportation costs of mountain agricultural residual biomass, characterized in that, The method for evaluating the collection and transportation cost of agricultural residual biomass in mountainous areas includes: Obtaining images of mountainous farmland to be evaluated taken by drones, the agricultural residual biomass yield per unit area, manual data, and motor vehicle data; the manual data includes the amount of agricultural residual biomass collected and transported per person per trip, the working hours per person per day, and the cost per person per day; the motor vehicle data includes the amount of agricultural residual biomass transported per motor vehicle per trip and the cost of the driver per day; Based on the images of mountainous farmland to be evaluated taken by the drones, obtaining the area of the mountainous farmland; Based on the area of the mountainous farmland and the agricultural residual biomass yield per unit area, obtaining the total agricultural residual biomass yield; Using an image processing method, based on the images of mountainous farmland to be evaluated taken by the drones, obtaining the passable road length and impassable road length of motor vehicles; Based on the total agricultural residual biomass yield, the manual data, and the impassable road length of motor vehicles, obtaining the cost of manually collecting and transporting agricultural residual biomass; Based on the total agricultural residual biomass yield, the motor vehicle data, and the passable road length of motor vehicles, obtaining the cost of transporting agricultural residual biomass by motor vehicles; Based on the cost of manually collecting and transporting agricultural residual biomass and the cost of transporting agricultural residual biomass by motor vehicles, obtaining the collection and transportation cost of agricultural residual biomass in mountainous rural areas.

2. The method for evaluating the collection and transportation cost of mountain agricultural residual biomass according to claim 1, wherein The image processing method includes: an edge detection method and a threshold segmentation method.

3. The method for evaluating the collection and transportation cost of mountain agricultural residual biomass according to claim 1, characterized in that, Using an image processing method, based on the images of mountainous farmland to be evaluated taken by the drones, obtaining the passable road length and impassable road length of motor vehicles; including: Using an image processing method, based on the images of mountainous farmland to be evaluated taken by the drones, obtaining the road area in the images of mountainous farmland to be evaluated taken by the drones; Based on the road area in the images of mountainous farmland to be evaluated taken by the drones, obtaining the passable road area and impassable road area of motor vehicles; Based on the passable road area and impassable road area of motor vehicles, obtaining the passable road length and impassable road length of motor vehicles.

4. The method for evaluating the collection and transportation costs of mountain agricultural residual biomass according to claim 3, wherein, Based on the passable road area and impassable road area of motor vehicles, obtaining the passable road length and impassable road length of motor vehicles, including: Converting the passable road area and impassable road area of motor vehicles into vector data of the passable roads of motor vehicles and vector data of the impassable roads of motor vehicles; Based on the vector data of the passable roads of motor vehicles and the vector data of the impassable roads of motor vehicles, obtaining the linear elements of the passable roads of motor vehicles and the linear elements of the impassable roads of motor vehicles; Based on the linear elements of the passable roads of motor vehicles and the linear elements of the impassable roads of motor vehicles, obtaining the passable road length and impassable road length of motor vehicles.

5. The method for evaluating the collection and transportation costs of mountain agricultural residual biomass according to claim 1, characterized in that, Based on the total agricultural residual biomass yield, the manual data, and the length of impassable roads for motor vehicles, the cost of manual collection and transportation of agricultural residual biomass is obtained, including: Based on the length of impassable roads for the motor vehicle and the working hours per person per day, the number of trips for collection and transportation per person per day is obtained; Based on the number of trips for collection and transportation per person per day, the amount of agricultural residual biomass collected and transported per person per trip, and the total agricultural residual biomass yield, the total number of workers is obtained; Based on the total number of workers and the cost per person per day, the cost of manual collection and transportation of agricultural residual biomass is obtained.

6. The method for evaluating the collection and transportation costs of mountain agricultural residual biomass according to claim 1, wherein Based on the total agricultural residual biomass yield, the motor vehicle data, and the length of passable roads for motor vehicles, the cost of motor vehicle transportation of agricultural residual biomass is obtained, expressed as: Based on the total agricultural residual biomass yield and the amount of agricultural residual biomass transported per trip by the motor vehicle, the number of trips for motor vehicle transportation is obtained; Based on the length of passable roads for the motor vehicle, the cost per trip of the motor vehicle is obtained; Based on the number of trips for motor vehicle transportation, the cost per trip of the motor vehicle, and the cost of the driver per day, the cost of motor vehicle transportation of agricultural residual biomass is obtained.

7. The method for evaluating the collection and transportation cost of mountain agricultural residual biomass according to claim 1, wherein The collection and transportation cost of agricultural residual biomass in mountain rural areas is expressed as: C = C1 + C2; where C is the collection and transportation cost of agricultural residual biomass in mountain rural areas, C1 is the cost of manual collection and transportation of agricultural residual biomass, and C2 is the cost of motor vehicle transportation of agricultural residual biomass.

8. A computer device, comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method for evaluating the collection and transportation cost of mountain agricultural residual biomass according to any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for evaluating the collection and transportation cost of mountain agricultural residual biomass according to any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for evaluating the collection and transportation cost of mountain agricultural residual biomass according to any one of claims 1-7.

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