Recently, the first Smart Agriculture Innovation Competition, sponsored by the Information Center of the Ministry of Agriculture and Rural Affairs and the Department of Agriculture and Rural Affairs of Zhejiang Province, under the guidance of the Organization and Guidance Committee of the China Farmers' Harvest Festival, came to an end. At present, China's smart agriculture is developing rapidly, with continuous breakthroughs in key core technologies, enriched industrial ecology and application scenarios, becoming a prominent highlight of modern agricultural construction. How to empower modern agriculture with digital technology, build a high-yield, efficient, green and safe agricultural industry system, and accelerate agricultural development into a new stage of digitization and intelligence is worth analyzing. According to data from the Ministry of Agriculture and Rural Affairs, as of the end of 2024, the national agricultural production informatization rate will exceed 25%, an increase of nearly 10 percentage points compared to five years ago; We have cumulatively supported the construction of 100 national level digital agriculture pilot projects and a large number of provincial-level smart agriculture parks. Many regions have conducted beneficial explorations and practices. For example, in Heilongjiang Province, Beidahuang Group has extensively applied unmanned agricultural machinery, satellite navigation precision seeding, and AI diagnosis technology for pests and diseases, achieving "one click issuance" of management for 10000 acres of farms, with a mechanization rate of nearly 100% throughout grain production and a labor productivity increase of over 30%. For example, Zhejiang Province has taken the construction of "future farms" as a starting point and promoted intelligent greenhouses, breeding robots, and integrated water and fertilizer systems in Huzhou, Jinhua, and other places, which has increased the water and fertilizer utilization rate of characteristic economic crops by more than 20% and significantly improved the rate of high-quality agricultural products. The systematic guidance of policies has become a key driving force for the rapid development of smart agriculture. Since the 14th Five Year Plan listed smart agriculture as a key task, a series of policies have been introduced successively. The Action Plan for the Development of Digital Villages (2022-2025) explicitly regards the digital transformation of agriculture as the core; The National Action Plan for Smart Agriculture (2024-2028) provides a clearer path for technology implementation. These policies form a complete system from strategic planning to specific operations, clarify development directions to guide capital investment, and build standard frameworks to promote data exchange and standardized applications, thereby better promoting the healthy development of smart agriculture. It should also be noted that there are still some shortcomings in the development of smart agriculture that urgently need to be addressed. For example, there are still shortcomings in breakthroughs in core technologies, and high-end agricultural sensors, intelligent decision-making models, etc. still rely heavily on foreign countries; The high initial investment cost has deterred the majority of small and medium-sized farmers and new business entities, and there is a "last mile" challenge in technology popularization. For example, the standard system for data collection, sharing, and application is not yet sound, which hinders the improvement of collaborative efficiency throughout the entire industry chain. In the future, more effective promotion of high-quality development of smart agriculture requires multidimensional collaborative efforts and the construction of a systematic support system. Strengthen industrial policy support and optimize the development ecology. The industrial level is the key to connecting the past and the future. We will implement the "Smart Agriculture Core Technology Campaign" and establish a national level research and development special project, focusing on breaking through bottleneck links such as animal and plant body sensors, agricultural specific AI algorithms, and high-power intelligent agricultural machinery. For example, Heilongjiang Agricultural Reclamation is piloting the "Field Intelligent Perception System" in a 10000 acre soybean field, which combines the installation of soil temperature, humidity, and nutrient sensors with the deployment of unmanned aerial vehicles for hyperspectral patrols to construct crop growth models. The system is linked with intelligent irrigation valves and variable fertilizer applicator to achieve precise delivery of water and fertilizer according to demand, saving 30% water and 15% fertilizer compared to traditional management mode, and increasing yield by more than 12% per mu. Inspire enterprise vitality and enhance innovation and application capabilities. Enterprises are important sources of technological innovation and direct drivers of its application. For technology-based enterprises, they should be encouraged to jointly build laboratories with research institutes and conduct cutting-edge technology research. Support leading enterprises to take the lead in forming innovation consortia, undertake major scientific and technological projects, and promote the engineering and productization of scientific and technological achievements. For example, DJI Agriculture has partnered with the Academy of Agricultural Sciences to establish the "Smart Plant Protection Joint Laboratory", which has successfully developed the T60 agricultural unmanned aerial vehicle to address the challenges of complex terrain operations. This model is equipped with an active phased array radar and a binocular vision system, which can effectively identify small obstacles and achieve all-weather, centimeter level obstacle avoidance and maneuvering. At present, this model has been promoted and applied in more than 500 counties and districts in China, with a cumulative service area of over 10 million acres, improving the efficiency of plant protection operations to more than 60 times that of manual labor. Cultivate and guide consumer cognition and behavior, and expand market demand space. The sustainable development of smart agriculture ultimately requires market recognition and driving force. Enhance consumers' awareness and trust in smart agricultural products. We should establish and improve a digital traceability system for agricultural products that covers the entire process, and use various channels such as new media to educate the public about the value of smart agriculture in improving quality and protecting the environment, shaping the brand image of "smart agricultural products" as "high-quality, safe, and green". For example, some companies have partnered with multiple farms to launch "AI grown watermelons", with each watermelon labeled with a unique traceability QR code. Consumers can scan the code to view the full cycle data from sowing, pollination to picking, and learn through short videos how AI determines the optimal sweetness harvesting period based on light and soil data. This transparent production method greatly enhances consumer trust. (New Society)