Sichuan hilly and mountainous rice fields, intelligent agricultural machinery completes irregular field transplanting operations with centimeter level accuracy; Inner Mongolia Smart Ranch, with collaborative operation of milking robots, feeding robots, and manure cleaning robots; Guangdong Litchi Garden, the multimodal monitoring data of "Kongtiandi" has been learned and analyzed by the smart agriculture brain to achieve accurate monitoring of flower and fruit conditions, timely warning of disasters... These technologically advanced scenarios are from the typical case of smart agriculture in 2025 recently released by the Ministry of Agriculture and Rural Affairs. The fundamental driving force for promoting agricultural modernization lies in the modernization of agricultural science and technology. During the 14th Five Year Plan period, the construction of smart agriculture in China has accelerated comprehensively, and agricultural technological innovation has continued to advance. "Enabling farmers to use the best technology to grow the best food" is becoming a reality. The intensive cultivation of grain production through "smart" farming, the "digital planting and breeding" of facility agriculture, and the accelerated "digital to intelligent transformation" of the entire agricultural industry chain will inject strong momentum into agricultural modernization. The vigorous development of smart agriculture is due to its profound potential to reshape the logic of agricultural production, factor value, and industrial form. From technological breakthroughs in the laboratory to the establishment of roots in the fields, from precise calculations of data models to skilled operations by new farmers, smart agriculture is reshaping every aspect of agricultural production, bringing unprecedented vitality and vigor to traditional agriculture, and providing solid support for ensuring food security, promoting high-quality agricultural development, and achieving common prosperity. At the level of factor value, traditional factors such as land and labor have been redefined under the empowerment of digital technology, promoting agriculture from a labor-intensive, experience driven traditional industry to a modern industry centered on technology. This transformation not only helps to reduce production costs and improve yield, but also promotes the systematic enhancement of quality, resilience, and efficiency throughout the entire industry chain. Taking the exploration of "agricultural data+financial innovation" in Shanghai as an example, agricultural production process data is standardized, listed and traded on data exchanges, and applied in insurance claims, financing and credit enhancement scenarios, exploring a new path of digital asset appreciation for agricultural and rural development. In terms of industrial form, traditional agricultural production highly relies on experience judgment and human input. Smart agriculture breaks down information barriers in various links of agricultural production, processing, and sales, promotes the deep integration of primary, secondary, and tertiary industries, and gives birth to new formats such as agricultural product e-commerce, leisure agriculture, and agricultural experience, extending the agricultural industry chain and enhancing the overall competitiveness of agriculture. The release of this potential not only solves the resource constraints and efficiency bottlenecks faced by current agricultural development, but also provides strong support for the comprehensive revitalization of rural areas, making agriculture a promising industry. From "sweat dripping into the soil" to "data entering the cloud", many cutting-edge technology integration applications have emerged in the vast fields, bringing together a group of new laborers such as cross regional agricultural machinery operators, drone pilots, cloud based "field nannies", and farmer anchors. They are no longer traditional farmers, but "new farmers" who rely on skills, data thinking, and market awareness to make a living. Farmers are transforming into a composite profession that combines traditional agricultural wisdom with modern information skills, attracting more and more well-educated and innovative young talents to return to their hometowns and start businesses. Looking ahead to the future, the comprehensive development of smart agriculture still needs to overcome practical challenges such as key technology autonomy and data sharing barriers. With the deepening and implementation of the "Artificial Intelligence+" initiative in the agricultural field, continuous strengthening of standard guidance, technological breakthroughs, scenario expansion, talent cultivation, and data integration, a self controlled and resilient smart agricultural ecosystem will profoundly change agriculture, and the Chinese people's livelihoods will be firmly in their own hands. (New Society)