What are the key tasks for the development of smart agriculture by 2035?

The development of smart agriculture is an important part of promoting the high-quality development of China's agriculture and promoting the comprehensive revitalization of rural areas. The research on smart agriculture strategy is of positive significance for grasping the medium and long-term scientific and technological layout of China's smart agriculture and clarifying the development ideas and directions.

To 2035 China's key development tasks of smart agriculture

1. Deploy "new infrastructure" in the agricultural sector to lay a solid foundation for smart agriculture

We will promote the work of "new infrastructure" in agriculture and rural areas, and build a new agricultural information infrastructure system that is ubiquitous, advanced, open and shared. We will accelerate the construction of new infrastructure such as 5G networks, data centers, storage and preservation cold chain logistics, upgrade national agricultural and rural big data centers, and form standardization technologies and data exchange mechanisms for agricultural big data. Carry out the in-depth application of agricultural big data, and establish the key technology system of agricultural big data intelligence; Build a new agricultural knowledge map, promote the data information into practical value, and realize the precision and intelligence of agricultural information services.

2. Promote the digital transformation of production and build smart farms in batches

Develop a multi-scale "sky, air and earth" agricultural resource and environment information acquisition network and an agricultural resource and environment information perception technology system, build a multi-temporal, multi-dimensional and high-precision agricultural resource and environment information acquisition system and intelligent service platform, and support the improvement of agricultural resource and environment monitoring and information service capabilities. Overcome the bottleneck technology of field and horticultural crop sensors, accelerate the construction of "digital farming conditions", and form an integrated technical system for the construction and operation of intelligent greenhouse facilities. For large-scale farmland, greenhouse promotion of planting environment monitoring and control, "water and fertilizer medicine" precise application, soil crop wisdom management and other technical equipment, batch construction of "unmanned (or less human) farms" and "plant factories". The development of equipment farming, the use of aquaculture inputs, breeding process, product quality and other special sensors, the construction of modern animal growth and development process knowledge model; Develop intelligent farming machinery equipment, develop aquaculture dynamic feed formula and intelligent breeding technology based on big data, establish a big data platform for group optimization management and decision-making of farms, and develop operational robots in key aquaculture links; In large-scale livestock and poultry aquaculture farms, batch construction of "unmanned (or less unmanned) pastures" and "unmanned (or less unmanned) fishing farms".

3. Build a transparent supply chain and build a quality and safety defense line

Construct intelligent ecology of agricultural product supply chain, research and develop intelligent equipment for post-harvest processing and cold chain of agricultural products, and innovate the operation mode of agricultural product supply chain to significantly improve efficiency. Develop key technologies of smart equipment driven by clean energy and intelligent control technologies for cold storage to promote the transformation and upgrading of the agricultural cold chain industry. In the supply chain management of agricultural products, blockchain, big data, and AI technologies are applied to comprehensively supervise the information of many links of the whole industrial chain of agricultural products, such as agricultural materials, production, processing, storage, and transportation, and build the digital twin capability of the supply chain of agricultural products to improve the traceability level of agricultural product quality and safety. Explore the use of data alliance chain to build a new type of supply chain collaboration network, reduce the trust cost of supply chain, and support the development of agricultural product supply chain towards green, intelligent, efficient and open direction.

4. Accelerate the process of technology industrialization and strengthen the smart agriculture industry

Keep up with the development trend of smart agricultural science and technology in the world, rely on promoting the cultivation of major industrial projects, and balance the potential technology demand, industrial growth potential, product competitiveness, and technology-driven leadership. Focusing on the three key innovation areas of agricultural intelligent equipment manufacturing, agricultural sensor and measurement and control terminal design and manufacturing, agricultural software and emerging information service industry, the implementation of smart agriculture related technology industry cultivation projects, promote the smart agriculture innovation chain and industrial chain precision docking, so that the development of "agriculture, agriculture and agriculture" better benefit from smart agricultural technology and products. Improve the application maturity of information technologies such as AI, 5G, edge computing, and new human-computer interaction in the development of smart agricultural machines, agricultural sensors, and agricultural software, and improve the supporting ability of smart agricultural hardware and software products. Develop agricultural intelligent production equipment, agricultural intelligent operation robots and other key intelligent agricultural machinery equipment, realize the standardization and industrialization of a new generation of agricultural sensors with good adaptability, high cost performance and intelligent decision-making, and build agricultural software industry ecology and industrial clusters.

5. Highlight the green ecological concept to help carbon peak and carbon neutrality

To meet the target requirements of carbon peak and carbon neutrality, take green ecology as the main line, apply digital technology to enable green agriculture, and achieve high standards of carbon emissions from fertilizer, livestock and poultry breeding; We will build demonstration zones for green and smart agriculture to lead the development of green agriculture with high energy efficiency and high quality. We will implement intelligent transformation of cultivated land protection, popularize and apply high-efficiency water-saving irrigation technology, and improve the efficiency of agricultural land and water resources utilization. Explore the precise regulation of plant and animal growth and development based on the integration of big data and multi-omics, and the intelligent stress of environmental changes, establish a modern intelligent ecological agricultural production system that ADAPTS to climate change, achieve precision planting and breeding, and reduce carbon emissions in the agricultural system. Promote the construction of intelligent ecological protection, establish demonstration zones for intelligent ecological protection and restoration, and realize dynamic monitoring and early warning of ecological environment and intelligent supervision.