强化粮食全链条监测预警

Group 1 - The core viewpoint emphasizes the importance of enhancing grain safety monitoring and regulation through advanced technologies such as satellite remote sensing, AI for pest identification, and blockchain for traceability [1][2] - The National Food and Material Reserve Administration has established a management approach for grain quality inspection and monitoring institutions, aiming to improve the management and capability of these institutions [1] - The "Accelerating the Construction of an Agricultural Power Plan (2024-2035)" outlines the need to develop a comprehensive monitoring and early warning system for grain and important agricultural products [1] Group 2 - A preliminary monitoring and early warning system covering agricultural production, market circulation, and quality safety has been established, but issues such as insufficient coverage and low information transmission efficiency remain [2] - There is a need for improved precision in early warning assessments, as existing models rely heavily on historical data and lack the ability to accurately predict market fluctuations and quality safety risks [2] - The development of agricultural AI models is encouraged to enhance monitoring and early warning capabilities, thereby increasing the resilience of agricultural production [2] Group 3 - Expanding the scope of grain monitoring and early warning technologies beyond traditional areas to include breeding, agricultural meteorology, product quality tracing, market monitoring, and e-commerce services is recommended [3] - Enhancing the competitiveness of grain products through deep processing and utilizing technologies like blockchain to develop big data models for grain circulation is essential [3] - A systematic solution for improving the grain full-chain monitoring and early warning system is proposed, focusing on the integration of new technologies and institutional innovation [3]