The Opinion on Deepening the Implementation of the "Artificial Intelligence+" Action issued by the State Council proposes to accelerate the transformation and upgrading of agricultural digitization. The digital transformation and upgrading of agriculture includes the digitization and intelligent transformation of the entire agricultural industry chain, which is supported by new technologies such as big data and artificial intelligence to achieve a comprehensive transformation of agricultural production methods. This is an inevitable choice for achieving rural revitalization and building a modern agricultural power. During the 14th Five Year Plan period, the level of agricultural informatization in China has steadily improved, the digital and intelligent transformation of agriculture has further accelerated, and the development of smart agriculture has reached a new level. In the future, we should focus on breaking through issues such as insufficient autonomy in core technologies and equipment, and accelerate the transformation and upgrading of agricultural digitization. The digital transformation of agriculture is steadily advancing during the 14th Five Year Plan period. China's agricultural digital transformation has covered the entire industry chain, including smart breeding, precision planting, intelligent breeding, digital marketing, and smart logistics. Significant achievements have been made in agricultural research, production, equipment, and other aspects, mainly reflected in the following aspects. One is the penetration of digital transformation in multiple fields. Promote the adaptation and application of digital technology based on the characteristics of agriculture, planting, animal husbandry, and fisheries. The informatization rate of agricultural production in China has increased from 25.4% in 2021 to 27.6% in 2023, with the digitalization rate of aquaculture and animal husbandry reaching 35% and the informatization rate of field planting reaching 26.4%. In addition, as a product of the deep integration of traditional ocean ranches with modern information technologies such as big data, artificial intelligence, and cloud computing, the market size of China's ocean smart ranches is expected to reach approximately 60 billion yuan in 2024, with a year-on-year growth of over 30%. The second is the leap in the level of digitalization of agricultural equipment. As of now, there are over 100000 demonstration sites for agricultural Internet of Things applications in China, with unmanned aerial vehicle (UAV) crop protection operations covering an area of over 2.1 billion acres. Various agricultural equipment such as crop protection UAVs, automatic driving of agricultural machinery, and fishing boats have been promoted and applied, with a total of 2.7 million sets of Beidou terminal devices. At the same time, China's agricultural robots are in the stage of large-scale application and promotion, shifting from single operation to full cycle coverage. In 2024, the market size of intelligent agricultural machinery equipment in China will reach 11.8 billion yuan, a year-on-year increase of 122.64%. As of February 2025, China has built over 1000 unmanned farms, taking the lead in bridging the "last mile" of agricultural digitization. During the 14th Five Year Plan period, the area of planting facilities in China reached 40 million mu, and the annual output of facility vegetables exceeded 200 million tons, basically achieving annual balanced supply. The proportion of meat, eggs, milk, and aquaculture products from facility breeding was as high as 70% and 52% respectively, and 90% of solar greenhouses were equipped with automatic rolling shutter systems. Thirdly, we will vigorously promote the construction of data platforms. China has successively built provincial-level agricultural big data platforms in major agricultural production areas such as Jiangsu and Shandong, efficiently integrating multidimensional data such as meteorology, soil, crop growth, and market conditions to provide data support for agricultural production. More than 100000 demonstration sites for agricultural IoT applications have been established nationwide. As of January 2025, the Ministry of Agriculture and Rural Affairs of China has supported the establishment of 34 national digital agriculture innovation centers and sub centers, as well as 116 smart agriculture innovation application projects. The fourth is to comprehensively guarantee and accelerate the development of agricultural digitization. Currently, 50 agricultural universities in China have established smart agriculture majors. The central government has invested over 50 billion yuan specifically to support smart agriculture infrastructure and promote high standard farmland construction projects, empowering efficient land use. The subsidy for "digital transformation of high standard farmland" has reached 30%. During the 14th Five Year Plan period, China has made remarkable achievements in the digital transformation of agriculture, providing strong technical support for agricultural modernization. During the 15th Five Year Plan period, the transformation of agricultural digitization needs to focus on breaking through issues such as insufficient autonomy in core technologies and equipment, difficulty in application and promotion, barriers to data sharing, and the need to strengthen security measures. Specifically, efforts can be made in the following six aspects. One is to use cutting-edge technology to accelerate the process of intelligent variety cultivation. Integrating cutting-edge biotechnology and information technology to cultivate crop varieties that can autonomously respond to environmental changes. To promote innovation in breeding technology and advance the digitization and intelligent upgrading of cutting-edge technologies. Give full play to the leading role of seed industry enterprises in technological innovation, guide industry leaders to play the role of "leading geese", establish a commercial breeding mechanism, improve the protection of intellectual property rights, technology transfer and other commercial full process guarantee mechanisms, and build breeding platforms and information exchange and sharing platforms. At the same time, focusing on the pain points of breeding technology, a group of interdisciplinary collaborative research teams will be established to promote the updating and iteration of breeding technology. We need to establish a long-term stable support system and a new research organization model for agricultural research, establish a trial and error mechanism, and build an inclusive and open innovation ecosystem. The second is to carry out targeted digital transformation and upgrading in specific agricultural fields such as planting, breeding, and fishing. Integrate multiple resources, make targeted efforts based on the characteristics of different fields, and build a full chain service cloud platform network. The planting industry should mainly rely on agricultural robots, agricultural drones, etc., to achieve large-scale operations while promoting the precise utilization of "water, fertilizer, and medicine"; Animal husbandry should focus on using computer recognition technology to monitor animal growth status in real time, establish integrated management of the entire life cycle of breeding, and promote digital farming; The fishing industry should widely apply equipment systems such as intelligent oxygenation, precise feeding, and environmental monitoring. The third is to develop and expand the large-scale application of independent intelligent agricultural machinery and equipment. We should increase research and development investment, promote the research and development of intelligent agricultural machinery that integrates advanced technologies such as intelligent perception and automatic control, and develop intelligent agricultural machinery products with strong adaptability for different terrains. Vigorously develop different types of intelligent agricultural machinery such as autonomous tractors, intelligent seeders, intelligent harvesters, drones, intelligent irrigation systems, agricultural robots, agricultural sensors, etc., to achieve deep integration of "machine, art, planting, and field". Promote the integration of agricultural machinery and equipment with the Internet and the Internet of Things, and build a smart agricultural ecological network covering the whole production process. Strengthen the training of farmers' agricultural machinery operation skills, and utilize specialized social service organizations to achieve the organic connection between small farmers and intelligent agricultural machinery. The fourth is to promote the transformation and development of facility agriculture. We should integrate technologies such as Beidou navigation and intelligent sensing, and focus on developing refined intelligent tools such as new flexible robots to achieve non-destructive operations in various aspects such as planting and harvesting. Establish a cluster procurement and technical service platform to reduce the technological barriers for small and medium-sized farmers, and promote the formation of a modern intelligent response system for facility agriculture that is timed and quantified. Actively introduce talents in the research and development of precision agricultural robots, while focusing on cultivating intelligent agricultural composite talents, reforming the training mechanism, and encouraging various agricultural colleges to prioritize the establishment of relevant majors. In addition, we will increase policy support in the field of smart agriculture, strengthen long-term financial support for agricultural digitalization projects, and establish a special fund for refined and flexible intelligent tools. Attract and encourage social capital investment, explore the establishment of long-term structured bonds to support the development of smart agriculture, and build diversified and sustainable financing mechanisms. The fifth is to build a high-quality smart agriculture dataset. We should collaborate with relevant government departments, enterprises, research institutions, etc. to organize regular and regular meetings with experts on agricultural data circulation standards, establish data standards for data processing, data circulation, data application, data quality, etc., accelerate the formulation of data classification and grading rules for segmented fields, and systematically promote the construction of rules and standard systems. To clarify the definition of agricultural data property rights and market transaction norms, promote the marketization of data transactions, and activate the value of data elements. At the same time, the government should take the lead in building a unified agricultural big data management and sharing platform, integrating agricultural data resources scattered in various links and different regions, and achieving data interconnection and intercommunication. In addition, we should deepen the application of technologies such as privacy computing, federated learning, blockchain, data sandboxes, etc., to create a secure and trustworthy circulation environment. Expand professional data security products for agriculture, develop low-cost and refined data security product toolkits and solutions. Sixth, we need to strengthen the resilience of intelligent agricultural systems to cope with extreme weather conditions. We should rely on special financial funds and other guarantees to pilot climate smart agriculture or natural risk management demonstration zones, build a digital intelligent automatic decision-making and disaster rapid response system, form replicable and scalable high resilience agricultural digital intelligence solutions that resist climate change, and gradually promote them. At the same time, we will focus on tackling cutting-edge biotechnology such as gene editing and accelerate the breeding of environmentally intelligent crops. (New Society)