Country development planning decision optimization method and system

Abstract

The invention discloses a rural development planning decision optimization method and system, and relates to the technical field of rural development planning. The objective of the invention is to quickly decide a proper rural development plan so as to effectively improve the rural development efficiency and precision. The system specifically comprises a rural style and appearance recognition and analysis unit, a rural natural resource recognition and analysis unit, a villager evaluation and analysis unit, a tourist evaluation and analysis unit, an economic industry evaluation and analysis unit, a public facility evaluation and analysis unit, a cultivated land evaluation and analysis unit, an ecological analysis unit and an artificial intelligence analysis unit. The system can analyze the style and appearance, natural resources, villager and tourist evaluation, economic industry, public facilities and cultivated land area and quality of the country and obtain corresponding reports, summarizes the generated reports to obtain a country development planning decision report, and can perform reasonable planning according to the local natural environment, mineral resources and the existing economic industry. And a development plan suitable for local development and capable of being executed is obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of rural development planning, and in particular to a rural development planning decision-making optimization method and system. Background Art

[0002] As my country's rural construction work deepens, how to achieve sustainable development of rural areas has become a key issue that needs to be addressed urgently. my country has many rural areas, and reasonable development planning for villages with different environments, populations, and resources can improve the quality of rural development and thus improve the quality of life of the rural population.

[0003] At present, artificial intelligence technology provides an important tool for building corresponding rural development planning decisions. Through artificial intelligence, analysis and planning are carried out based on the natural conditions and existing resources of the corresponding villages, so as to quickly make appropriate rural development plans, thereby effectively improving the efficiency and accuracy of rural development.

[0004] Therefore, in order to improve the accuracy of development decisions of the rural revitalization strategy in specific scenarios and reduce manpower consumption, there is an urgent need for a rural development planning decision-making optimization method and system to improve the efficiency and accuracy of rural planning decisions. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a rural development planning decision-making optimization method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A rural development planning decision-making optimization system comprises a rural landscape recognition and analysis unit, a rural natural resource recognition and analysis unit, a villager evaluation and analysis unit, a tourist evaluation and analysis unit, an economic industry evaluation and analysis unit, a public facility evaluation and analysis unit, a cultivated land evaluation and analysis unit, an ecological analysis unit and an artificial intelligence analysis unit. The rural landscape recognition and analysis unit, the rural natural resource recognition and analysis unit, the villager evaluation and analysis unit, the tourist evaluation and analysis unit, the economic industry evaluation and analysis unit, the public facility evaluation and analysis unit, the cultivated land evaluation and analysis unit and the ecological analysis unit are respectively connected to the artificial intelligence analysis unit for communication.

[0008] Preferably: the rural landscape recognition and analysis unit includes a geographical location analysis module, an environmental greening analysis module, a river and lake analysis module, and a village building analysis module;

[0009] The geographical location analysis module obtains pictures of the geographical location of the corresponding village through drones and satellite remote sensing and transmits them to the artificial intelligence analysis unit for analysis to obtain the geographical location data of the village;

[0010] The environmental greening analysis module transmits the aerial pictures taken by the drone to the artificial intelligence analysis unit for analysis to obtain rural greening data;

[0011] The river and lake analysis module transmits the images acquired by drone and satellite remote sensing to the artificial intelligence analysis unit for analysis to obtain the distribution data of rural rivers and lakes;

[0012] The village building analysis module transmits the drone aerial photos to the artificial intelligence analysis unit for analysis to obtain the corresponding architectural style and distribution density of the village, and then organizes the geographical location data, rural greening data, rural river and lake distribution data and village building analysis data to obtain a rural landscape analysis report.

[0013] Further: the rural natural resource identification and analysis unit includes a mineral resource analysis module, a wind resource analysis module and a direct sunlight resource analysis module; the mineral resource analysis module transmits the types and reserves of the proven mineral resources in the village to the artificial intelligence analysis unit for analysis to obtain the distribution of mineral resources in the village;

[0014] The wind resource analysis module transmits the average wind speed data of the village within one to two years to the artificial intelligence analysis unit for analysis to obtain the corresponding wind power generation efficiency;

[0015] The direct sunlight resource analysis module transmits the direct sunlight time data of the village within one to two years to the artificial intelligence analysis unit to obtain the photovoltaic power generation efficiency, and then organizes the mineral resource analysis data, wind resource analysis data and direct sunlight resource analysis data to obtain a rural natural resource analysis report.

[0016] Further preferred: the villager evaluation analysis unit collects and organizes the villagers' evaluations of the village's living environment, public facilities, economic development, social security, and education and medical conditions, and then transmits them to the artificial intelligence analysis unit for analysis and organization to obtain a villager evaluation recommendation report.

[0017] As a preferred embodiment of the present invention: the tourist evaluation analysis unit collects and organizes the evaluations and suggestions of local tourists on the local natural environment, public transportation, service quality and supporting facilities construction, and then transmits them to the artificial intelligence analysis unit for analysis and organization to obtain a tourist evaluation and suggestion report.

[0018] As a further preferred embodiment of the present invention: the economic industry evaluation and analysis unit collects and organizes local tax data, land value data and industry scale data, and transmits them to the artificial intelligence analysis unit for analysis and organization to obtain an economic industry data analysis report.

[0019] As a further solution of the present invention: the public facility evaluation and analysis unit collects and organizes data on existing local public facilities, public service buildings and public facility maintenance personnel, and transmits the data to the artificial intelligence analysis unit for analysis and organization to obtain a public facility analysis report.

[0020] On the basis of the above scheme: the cultivated land evaluation and analysis unit analyzes the local cultivated land area through drone aerial pictures and local remote sensing mapping pictures, and then uploads the cultivated land picture data to the artificial intelligence analysis unit, which identifies and analyzes the fertility and soil quality of the cultivated land to obtain a local cultivated land analysis report;

[0021] The ecological analysis unit detects the local air quality through air pollution monitoring equipment, detects the water quality of local rivers, lakes and groundwater through water quality monitoring equipment, detects the content of harmful substances in the local soil through soil testing equipment, and investigates the types and numbers of local wild animals through field infrared monitoring equipment. The obtained air quality data, water quality data, soil harmful substance content data and wild animal distribution data are then uploaded to the artificial intelligence analysis unit, which identifies and analyzes the local ecological environment and obtains a local ecological environment analysis report.

[0022] Based on the above scheme, it is preferred that: the artificial intelligence analysis unit includes a model training module, a training set generation module and a planning decision report generation module.

[0023] A rural development planning decision optimization method comprises the following steps:

[0024] S1: Use drones to take aerial photos of the surrounding environment of the village, collect remote sensing mapping pictures and data of the village, and form a picture data report of the village landscape;

[0025] S2: Conduct a survey of local villagers through online surveys and online voice evaluations, and then collect villagers’ evaluation data through voice transcription to understand villagers’ evaluations and suggestions on rural living environment, public facilities, economic development, social security, education and medical care, and form a villagers’ evaluation and suggestion report;

[0026] S3: Conduct field surveys of tourists in villages, connect tourists’ evaluation and suggestions on the natural environment, public transportation, service quality and supporting facilities construction of villages, and form a tourist evaluation and suggestion report;

[0027] S4: Investigate and collate local tax data, land value, and economic industry scale to form an economic industry report;

[0028] S5: Count and collate the existing local public facilities and the personnel required to maintain them, and form a project public facilities report;

[0029] S6: Use drones and cameras to photograph local farmland to generate a picture data report on farmland conditions, and use corresponding monitoring equipment to monitor the local environment to generate an ecological environment analysis report;

[0030] S7: The obtained reports are analyzed by the artificial intelligence analysis unit in the rural development planning decision-making optimization system, and finally summarized into a rural development planning decision-making report.

[0031] The beneficial effects of the present invention are:

[0032] 1. The model training module trains the Caffe deep learning framework through the data set generated by the training set generation module, and uses the trained deep learning model to analyze the rural landscape, natural resources, villagers and tourists' evaluations, economic industries, public facilities, and cultivated land area and quality and produce corresponding reports. The planning decision report generation module summarizes the generated report to derive a rural development planning decision report, which can make reasonable plans based on the local natural environment, mineral resources and existing economic industries, and produce a development plan that is suitable for local development and can be implemented.

[0033] 2. By collecting and collating the villagers' evaluations and suggestions on the village living environment, public facilities, economic development, social security, and education and medical conditions, and classifying them through artificial intelligence analysis units, the most intuitive demands and suggestions of local villagers are provided to the development planning decision-making optimization system for analysis, so that the development planning decision-making optimization system can formulate development plans that are more in line with the wishes and needs of local villagers, so that the development of the village can benefit local villagers more and more effectively improve the quality of life of local villagers.

[0034] 3. By collecting and collating local tourists' opinions on the village's natural environment, public transportation, service quality and supporting facilities, and classifying them through artificial intelligence analysis units, the most intuitive feelings and suggestions of local tourists on the village are provided to the development planning decision-making optimization system for analysis. This can provide intuitive suggestions and feelings of foreign tourists on the local development situation, examine and plan local development from different angles, and improve the diversity of rural development plans, so that the countryside can attract more foreign tourists to visit and settle down, increase the attractiveness of the countryside to tourists and foreign talents, and thus be more conducive to the rapid development of the countryside.

[0035] 4. By collating and analyzing the actual local tax revenue, land value and economic industry scale, we can intuitively understand the local economic development situation. At the same time, based on the existing local industries and the data and analysis results collected by the rural landscape identification and analysis unit and the rural natural resources identification and analysis unit, we can propose new industrial planning and economic development directions according to local conditions, so that the local area can make full use of its own natural resources and geographical conditions, develop economic industries suitable for itself, and thus improve the efficiency of local economic and industrial development.

[0036] 5. Through the artificial intelligence analysis unit, the trained big data model is used to identify the local cultivated land pictures, and distinguish whether the local cultivated land is black soil, loess or paddy field. At the same time, the big data model analyzes the fertility of the local cultivated land, so as to determine the crops that are suitable for large-scale planting in the local area, and at the same time determine whether the local area is suitable for vigorously developing the planting industry, so as to rationally plan local agricultural production and improve crop production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a structural diagram of a rural development planning decision-making optimization system proposed by the present invention;

[0038] Figure 2 This is a flow chart of a rural development planning decision optimization method proposed in the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention is further described in detail below in conjunction with specific implementation methods.

[0040] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0041] Embodiment 1:

[0042] A rural development planning decision optimization system, such as Figure 1 As shown, it includes a rural landscape recognition and analysis unit, a rural natural resource recognition and analysis unit, a villager evaluation and analysis unit, a tourist evaluation and analysis unit, an economic industry evaluation and analysis unit, a public facility evaluation and analysis unit, a cultivated land evaluation and analysis unit, an ecological analysis unit and an artificial intelligence analysis unit. The rural landscape recognition and analysis unit, the rural natural resource recognition and analysis unit, the villager evaluation and analysis unit, the tourist evaluation and analysis unit, the economic industry evaluation and analysis unit, the public facility evaluation and analysis unit, the cultivated land evaluation and analysis unit and the ecological analysis unit are respectively communicated with the artificial intelligence analysis unit.

[0043] The rural landscape recognition and analysis unit includes a geographical location analysis module, an environmental greening analysis module, a river and lake analysis module, and a village building analysis module;

[0044] The geographic location analysis module will obtain pictures of the corresponding village's geographic location through drones and satellite remote sensing and transmit them to the artificial intelligence analysis unit for analysis to obtain the village's geographic location data;

[0045] The environmental greening analysis module transmits the drone’s aerial pictures to the artificial intelligence analysis unit for analysis to obtain rural greening data;

[0046] The river and lake analysis module transmits the images acquired by drones and satellite remote sensing to the artificial intelligence analysis unit for analysis to obtain the distribution data of rural rivers and lakes;

[0047] The village building analysis module transmits drone aerial photos to the artificial intelligence analysis unit for analysis to derive the corresponding architectural style and distribution density of the village. It then organizes the geographic location data, rural greening data, rural river and lake distribution data, and village building analysis data to obtain a rural landscape analysis report.

[0048] The rural natural resource identification and analysis unit includes a mineral resource analysis module, a wind resource analysis module and a direct sunlight resource analysis module; the mineral resource analysis module transmits the types and reserves of the proven mineral resources in the village to the artificial intelligence analysis unit for analysis to obtain the distribution of mineral resources in the village;

[0049] The wind resource analysis module transmits the average wind speed data of the village within one to two years to the artificial intelligence analysis unit for analysis, and obtains the corresponding wind power generation efficiency;

[0050] The direct sunlight resource analysis module transmits the direct sunlight time data of the village within one to two years to the artificial intelligence analysis unit to obtain the photovoltaic power generation efficiency, and then organizes the mineral resource analysis data, wind resource analysis data and direct sunlight resource analysis data to obtain the village natural resource analysis report.

[0051] The villager evaluation analysis unit collects and organizes the villagers' evaluations of the village's living environment, public facilities, economic development, social security, and education and medical conditions, and then transmits them to the artificial intelligence analysis unit for analysis and organization to obtain a villager evaluation recommendation report;

[0052] By collecting and collating the villagers' evaluations and suggestions on the village's living environment, public facilities, economic development, social security, and education and medical conditions, and classifying them through artificial intelligence analysis units, the most intuitive demands and suggestions of local villagers are provided to the development planning decision-making optimization system for analysis, so that the development planning decision-making optimization system can formulate development plans that are more in line with the wishes and needs of local villagers, so that the development of the village can better benefit the local villagers and more effectively improve their quality of life.

[0053] The tourist evaluation analysis unit collects and organizes the evaluations and suggestions of local tourists on the local natural environment, public transportation, service quality and supporting facilities construction, and then transmits them to the artificial intelligence analysis unit for analysis and organization to obtain a tourist evaluation suggestion report;

[0054] By collecting and collating local tourists' opinions on the village's natural environment, public transportation, service quality and supporting facilities, and classifying them through artificial intelligence analysis units, the most intuitive feelings and suggestions of local tourists on the village are provided to the development planning decision-making optimization system for analysis. This can provide intuitive suggestions and feelings of foreign tourists on the local development situation, examine and plan local development from different angles, and improve the diversity of rural development plans, so that the countryside can attract more foreign tourists to visit and settle down, increase the attractiveness of the countryside to tourists and foreign talents, and thus be more conducive to the rapid development of the countryside.

[0055] The economic industry evaluation and analysis unit collects and organizes local tax data, land value data and industry scale data, and transmits them to the artificial intelligence analysis unit for analysis and organization to obtain an economic industry data analysis report.

[0056] By collating and analyzing the actual local tax revenue, land value and economic industry scale, we can intuitively understand the local economic development situation. At the same time, based on the existing local industries and the data and analysis results collected through the rural landscape identification and analysis unit and the rural natural resource identification and analysis unit, we can propose new industrial planning and economic development directions according to local conditions, so that the local area can make full use of its own natural resources and geographical conditions to develop economic industries suitable for itself, thereby improving the efficiency of local economic and industrial development.

[0057] The public facility evaluation and analysis unit collects and organizes data on existing local public facilities, public service buildings, and public facility maintenance personnel, and transmits the data to the artificial intelligence analysis unit for analysis and organization to obtain a public facility analysis report.

[0058] The cultivated land evaluation and analysis unit analyzes the local cultivated land area through drone aerial pictures and local remote sensing mapping pictures, and then uploads the cultivated land picture data to the artificial intelligence analysis unit, which identifies and analyzes the fertility and soil quality of the cultivated land to obtain a local cultivated land analysis report;

[0059] The ecological analysis unit detects the local air quality through air pollution monitoring equipment, detects the water quality of local rivers, lakes and groundwater through water quality monitoring equipment, detects the content of harmful substances in the local soil through soil testing equipment, and investigates the types and numbers of local wild animals through field infrared monitoring equipment, and then uploads the obtained air quality data, water quality data, soil harmful substance content data and wild animal distribution data to the artificial intelligence analysis unit, which identifies and analyzes the local ecological environment and obtains a local ecological environment analysis report;

[0060] The artificial intelligence analysis unit uses a trained big data model to identify local arable land images and distinguish whether the local arable land is black soil, loess or paddy field. At the same time, the big data model analyzes the fertility of the local arable land, thereby determining the crops that are suitable for large-scale planting in the local area, and whether the local area is suitable for vigorously developing the planting industry, so as to rationally plan local agricultural production and improve crop production efficiency.

[0061] The artificial intelligence analysis unit includes a model training module, a training set generation module and a planning decision report generation module. The training set generation module can collect and classify aerial photography and remote sensing images of various villages to form a rural landscape recognition training data set;

[0062] Collect and classify the conditions required for different types of mineral mining, the basic conditions required for wind power generation, and the basic conditions required for photovoltaic power generation to form a rural natural resource identification training data set;

[0063] Collect and classify different questionnaire survey data to form villager evaluation and tourist evaluation recognition training data sets;

[0064] Collect and classify tax revenue data, land value data, and industry scale data from various regions to form an economic industry identification training data set;

[0065] The area and number of public facilities in different villages, as well as the number of people involved in maintaining public facilities, are collected and classified to form a public facility identification training data set;

[0066] Pictures of cultivated land with different soil types and different fertility levels are collected and classified to form a training data set for cultivated land evaluation and analysis.

[0067] The model training module trains the Caffe deep learning framework through the data set generated by the training set generation module, and uses the trained deep learning model to analyze the rural landscape, natural resources, villagers and tourists' evaluations, economic industries, public facilities, and cultivated land area and quality and obtain corresponding reports. The planning decision report generation module summarizes the rural development planning decision report based on the generated report.

[0068] Embodiment 2:

[0069] A rural development planning decision optimization method, such as Figure 2 As shown, the following steps are included:

[0070] S1: Use drones to take aerial photos of the surrounding environment of the village, collect remote sensing mapping pictures and data of the village, and form a picture data report of the village landscape;

[0071] S2: Conduct a survey of local villagers through online surveys and online voice evaluations, and then collect villagers’ evaluation data through voice transcription to understand villagers’ evaluations and suggestions on rural living environment, public facilities, economic development, social security, education and medical care, and form a villagers’ evaluation and suggestion report;

[0072] S3: Conduct field surveys of tourists in villages, connect tourists’ evaluation and suggestions on the natural environment, public transportation, service quality and supporting facilities construction of villages, and form a tourist evaluation and suggestion report;

[0073] S4: Investigate and collate local tax data, land value, and economic industry scale to form an economic industry report;

[0074] S5: Count and collate the existing local public facilities and the personnel required to maintain them, and form a project public facilities report;

[0075] S6: Use drones and cameras to photograph local farmland to generate a picture data report on farmland conditions, and use corresponding monitoring equipment to monitor the local environment to generate an ecological environment analysis report;

[0076] S7: The obtained reports are analyzed by the artificial intelligence analysis unit in the rural development planning decision-making optimization system, and finally summarized into a rural development planning decision-making report.

[0077] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A rural development planning decision-making optimization system, comprising a rural landscape recognition and analysis unit, a rural natural resource recognition and analysis unit, a villager evaluation and analysis unit, a tourist evaluation and analysis unit, an economic industry evaluation and analysis unit, a public facility evaluation and analysis unit, a cultivated land evaluation and analysis unit, an ecological analysis unit and an artificial intelligence analysis unit, characterized in that: The rural landscape recognition and analysis unit, rural natural resource recognition and analysis unit, villager evaluation and analysis unit, tourist evaluation and analysis unit, economic industry evaluation and analysis unit, public facility evaluation and analysis unit, cultivated land evaluation and analysis unit and ecological analysis unit are respectively communicated and connected with the artificial intelligence analysis unit.

2. A rural development planning decision optimization system according to claim 1, characterized in that: The rural landscape recognition and analysis unit includes a geographical location analysis module, an environmental greening analysis module, a river and lake analysis module, and a village building analysis module; The geographical location analysis module obtains pictures of the geographical location of the corresponding village through drones and satellite remote sensing and transmits them to the artificial intelligence analysis unit for analysis to obtain the geographical location data of the village; The environmental greening analysis module transmits the drone's aerial pictures to the artificial intelligence analysis unit for analysis to obtain rural greening data; The river and lake analysis module transmits the images acquired by drone and satellite remote sensing to the artificial intelligence analysis unit for analysis to obtain the distribution data of rural rivers and lakes; The village building analysis module transmits the drone aerial photos to the artificial intelligence analysis unit for analysis to obtain the corresponding architectural style and distribution density of the village, and then organizes the geographical location data, rural greening data, rural river and lake distribution data and village building analysis data to obtain a rural landscape analysis report.

3. A rural development planning decision optimization system according to claim 1, characterized in that: The rural natural resource identification and analysis unit includes a mineral resource analysis module, a wind resource analysis module and a direct sunlight resource analysis module; the mineral resource analysis module transmits the types and reserves of the proven mineral resources in the village to the artificial intelligence analysis unit for analysis to obtain the distribution of mineral resources in the village; The wind resource analysis module transmits the average wind speed data of the village within one to two years to the artificial intelligence analysis unit for analysis to obtain the corresponding wind power generation efficiency; The direct sunlight resource analysis module transmits the direct sunlight time data of the village within one to two years to the artificial intelligence analysis unit to obtain the photovoltaic power generation efficiency, and then organizes the mineral resource analysis data, wind resource analysis data and direct sunlight resource analysis data to obtain a rural natural resource analysis report.

4. A rural development planning decision optimization system according to claim 1, characterized in that: The villager evaluation and analysis unit collects and organizes the villagers' evaluations of the village's living environment, public facilities, economic development, social security, and education and medical conditions, and then transmits them to the artificial intelligence analysis unit for analysis and organization to obtain a villager evaluation recommendation report.

5. A rural development planning decision optimization system according to claim 1, characterized in that: The tourist evaluation analysis unit collects and organizes the evaluations and suggestions of local tourists on the local natural environment, public transportation, service quality and supporting facilities construction, and then transmits them to the artificial intelligence analysis unit for analysis and organization to obtain a tourist evaluation and suggestion report.

6. A rural development planning decision optimization system according to claim 1, characterized in that: The economic industry evaluation and analysis unit collects and organizes local tax data, land value data and industry scale data, and transmits them to the artificial intelligence analysis unit for analysis and organization to obtain an economic industry data analysis report.

7. A rural development planning decision optimization system according to claim 1, characterized in that: The public facility evaluation and analysis unit collects and organizes data on existing local public facilities, public service buildings, and public facility maintenance personnel, and transmits the data to the artificial intelligence analysis unit for analysis and organization to obtain a public facility analysis report.

8. A rural development planning decision optimization system according to claim 1, characterized in that: The cultivated land evaluation and analysis unit analyzes the local cultivated land area through drone aerial pictures and local remote sensing mapping pictures, and then uploads the cultivated land picture data to the artificial intelligence analysis unit, which identifies and analyzes the fertility and soil quality of the cultivated land to obtain a local cultivated land analysis report; The ecological analysis unit detects the local air quality through atmospheric pollution monitoring equipment, detects the water quality of local rivers, lakes and groundwater through water quality monitoring equipment, detects the content of harmful substances in the local soil through soil testing equipment, and investigates the types and numbers of local wild animals through field infrared monitoring equipment. The obtained air quality data, water quality data, soil harmful substance content data and wild animal distribution data are then uploaded to the artificial intelligence analysis unit, which identifies and analyzes the local ecological environment and obtains a local ecological environment analysis report.

9. A rural development planning decision optimization system according to claim 8, characterized in that: The artificial intelligence analysis unit includes a model training module, a training set generation module and a planning decision report generation module.

10. A rural development planning decision optimization method, characterized in that: The steps include: S1: Use drones to take aerial photos of the surrounding environment of the village, collect remote sensing mapping pictures and data of the village, and form a picture data report of the village landscape; S2: Conduct a survey of local villagers through online surveys and online voice evaluations, and then collect villagers’ evaluation data through voice transcription to understand villagers’ evaluations and suggestions on rural living environment, public facilities, economic development, social security, education and medical care, and form a villagers’ evaluation and suggestion report; S3: Conduct field surveys of tourists in villages, connect tourists’ evaluation and suggestions on the natural environment, public transportation, service quality and supporting facilities construction of villages, and form a tourist evaluation and suggestion report; S4: Investigate and collate local tax data, land value, and economic industry scale to form an economic industry report; S5: Count and collate the existing local public facilities and the personnel required to maintain them, and form a project public facilities report; S6: Use drones and cameras to photograph local farmland to generate a picture data report on farmland conditions, and use corresponding monitoring equipment to monitor the local environment to generate an ecological environment analysis report; S7: The obtained reports are analyzed by the artificial intelligence analysis unit in the rural development planning decision-making optimization system, and finally summarized into a rural development planning decision-making report.

Images