Recently, the construction of smart agriculture in many places has achieved good results. Strawberry patrol robots, long arm spray machines, etc. have broken the traditional impression of the public on agriculture. Data elements are playing an increasingly important role in helping the overall revitalization of the countryside. As a core resource in the digital economy era, data elements can effectively assist in agricultural modernization, promote rural governance, and significantly increase farmers' income and wealth. Traditional agriculture faces problems such as low production efficiency and serious resource waste, while the application of data elements can achieve digital management of the entire agricultural production process through precision agriculture, smart agriculture, and other forms. By collecting soil, meteorological, and other data, combined with artificial intelligence analysis, farmers can optimize scientific planting decisions and improve crop yield and quality. In addition, the application of data elements can significantly improve the efficiency of rural governance. By integrating data on population, land, economy, and other aspects through rural big data platforms, it can assist the government in formulating policies more accurately. It can also achieve intelligent management and efficient supply of public service resources such as education, healthcare, and social security, and improve the convenience of farmers' lives. From the perspective of increasing farmers' income and wealth, data elements also play a significant role. Through e-commerce platforms, farmers can directly connect with consumers, reduce intermediaries, and increase income; Accurately distributing agricultural subsidies through data analysis to ensure effective use of funds; Evaluate farmers' credit through data and provide more financial support for farmers; wait. In the future, to fully leverage the role of data elements in the comprehensive revitalization of rural areas, efforts should be made from multiple aspects. Strengthen the construction of agricultural and rural data infrastructure. Data infrastructure is the cornerstone of data element application, and the government and enterprises should work together to comprehensively improve the level of rural data infrastructure. Accelerate the Internet penetration rate in rural areas nationwide, and improve the speed and quality of data transmission. Support rural areas to share data infrastructure such as network equipment and data storage resources, avoid redundant construction, and reduce construction and operation costs. Accelerate the construction and development of agricultural big data platforms for rural areas, and promote the integration, governance, exchange, and sharing of agricultural data resources. Promote the construction of a data analysis and application center for the entire industry chain of key agricultural products, and strengthen the information monitoring of the entire industry chain of important agricultural products. Strengthen the deep integration of data elements with rural industries. Introducing data elements is an important way to promote the upgrading of rural industries, achieve intelligence, precision, and efficiency in agricultural production, operation, management, and services. Actively developing new forms of agriculture and rural areas, supporting the development of smart agriculture, promoting the digitization of the agricultural industry chain, and expanding the application scenarios of technologies such as artificial intelligence. Effectively utilizing data resources to strengthen the construction of quality traceability systems and enhance the reputation of agricultural products. Promote the development of rural e-commerce, support the construction of rural e-commerce platforms, and help farmers sell agricultural products through e-commerce channels; Utilize data analysis to meet market demand, create distinctive e-commerce brands, and enhance the competitiveness of agricultural products. Enhance the data application capabilities of farmers and rural officials. The data application ability of farmers and rural cadres is directly related to the practical effect of empowering rural revitalization with data elements. Digital skills training can be vigorously carried out, adopting flexible methods such as expert face-to-face teaching or online courses. The training content should cover from basic data knowledge to advanced data analysis skills. To promote the construction of a support system, a comprehensive service system including technical support and consulting services should be established to provide continuous assistance and guidance to farmers and rural cadres. Encourage cooperation and exchange, promote relevant experience sharing and technology exchange between different regions, and stimulate innovative thinking in rural data application through forms such as visiting and learning, case analysis, etc. Accelerate the formulation and improvement of standardized systems for agricultural and rural data management. Data management is an indispensable part of achieving efficient and secure utilization of data resources. It is necessary to clarify data classification standards and hierarchical management requirements, establish a unified data resource directory, promote data standardization work, ensure the standardization of data format, naming, and description, and introduce dynamic update mechanisms. Establish a sound data sharing system, clarify sharing principles, and promote cross departmental and cross regional data sharing and collaboration. While promoting data sharing, strengthen security measures such as data encryption and identity authentication to ensure the legality and security of data usage. (New Society)