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In the current era, the digital economy has become a powerful driving force for economic growth. Many countries hope to rely on big data to promote quality change, efficiency change, and power change. It can be said that whoever holds the initiative of big data will win the core competitiveness. The report of the 19th National Congress of the Communist Party of China puts forward the strategy of revitalizing the countryside , which is of great significance for solving the problems of agriculture, rural areas and farmers and accelerating the modernization of agriculture and rural areas . To implement the rural revitalization strategy, it must be combined with the national big data strategy, make good use of the big data technology booster, promote the deep integration of the Internet, big data, artificial intelligence and agricultural and rural development, and accelerate rural economic and social development.
At present, in some places, big data has played a supporting role in many aspects of the development of the "agriculture, rural areas and farmers". For example, land and resources management and effective use of land, promoting agricultural modern production and efficient circulation of agricultural products , ensuring the quality and safety of agricultural products , improving the quality of farmers and the efficiency of agricultural operations, optimizing the ecological environment for rural production and living, achieving precision poverty alleviation, and improving comprehensive rural governance capabilities, The implementation of the rural revitalization strategy provides accurate and reliable data support. However, we must also see that the application of big data technology in agriculture and rural areas is preliminary, and there are still some problems in practice. For example, there is still no specific strategic deployment in the application of agricultural big data. The collection, analysis, and practical application of agricultural big data are still difficult. There is a lack of information talents in rural areas, and rural information infrastructure is weak. In order to make big data better for rural revitalization, we can focus on the following aspects.
Make a top-level design for the development of modern agricultural big data. Coordinate and plan the development and utilization of big data resources at the national level, and integrate the development of agricultural big data into the overall national agricultural information development strategy. Closely track the international frontier trends of big data, analyze the development trend of big data, and actively research and develop key technologies of agricultural big data. Based on the characteristics and needs of agricultural development in China , expand and deepen the key development areas of agricultural big data. Vigorously promote the integration of information technologies such as big data, the Internet, cloud computing, and the Internet of Things with the agricultural industry. Promote informatization, refinement and intelligence of modern agricultural production , and create a modern data environment for agricultural business entities.
Improve the agricultural information sharing system. Establish an information resource catalogue system for various government departments, and the relevant competent authorities should classify and compile the information catalogue list based on active information sharing, agreement sharing, and no sharing. Establish related supporting standards for data coding, collection, classification, publishing, sharing and exchange. Data and information sharing can also be included in performance appraisal to stimulate the enthusiasm of information resources sharing among various departments.
Improve the level of rural information infrastructure. Focusing on digital agriculture, we will focus on training and supporting a number of agricultural big data applications and demonstration projects to promote the growth of agricultural big data resources and the application of agricultural big data technologies. We will improve rural informatization infrastructure and actively promote the construction of modern agricultural smart parks. Vigorously promote the extension of digital government affairs to the county and township two levels, improve the agricultural production service system, the operating subject information sharing system, and the quality and safety information service system. Integrate rural public information in civil administration, human society, medical insurance, education, housing construction and other departments, and explore the establishment of a rural culture, rural public service and social assistance information sharing platform.
Use big data to promote the two-way flow of urban and rural resources. Use big data to optimize the allocation of rural land, finance, and human resources, improve the resource price mechanism, and increase the level of rural production factors. Guide e-commerce companies to support the online sales of local agricultural products, use big data to promote rural scientific breeding, and cultivate geographical indication products. Strengthen the construction of the traceability system for agricultural products, and achieve the recordable, safe and early warning, traceable source, and traceable flow of agricultural products through credit information. Efforts should be made to solve the asymmetric information dilemma between supply and demand in agricultural market-oriented operations, effectively improving timeliness and reducing logistics costs.
Establish an agricultural big data talent training system. Through targeted training, new professional farmers and new agricultural operators will be trained, their information technology knowledge level will be improved, and an "Internet +" modern agricultural construction team will be created. By cooperating with scientific research units such as universities and colleges, a group of big data talents with data mining, analysis, integration, and management knowledge are cultivated to provide necessary talent reserves for new agricultural business models and improve the market competitiveness of new agricultural business entities.