【科技日报】“AI+遥感”精准量化北方干旱流域饲草种植潜力

Core Insights - The research team from the Chinese Academy of Sciences has developed a new method that integrates artificial intelligence and remote sensing technology to identify optimal grass planting zones in arid and semi-arid regions of northern China, providing scientific support for ecological protection and high-quality agricultural development in the Yellow River basin [3][4] Group 1: Research Methodology - The new framework combines satellite remote sensing, ecological hydrological models, and ground measurement data, achieving over 90% accuracy in key indicators such as irrigation water usage, vegetation productivity, and soil organic carbon [3] - The method significantly reduces regional bias by over 40%, with the accuracy of optimal grass zone identification exceeding 85% [3] Group 2: Innovation and Application - The innovation lies in transforming grass planting decisions into a multi-dimensional spatial optimization problem, balancing water resource consumption, soil carbon sequestration benefits, and grass production output [4] - The system generates a visual map that clearly indicates the most suitable plots for grass planting, facilitating precise decision-making and resource allocation for management departments [4] - The technology is cost-effective and highly adaptable, with potential applications not only in the Yellow River region but also in other arid areas such as the Inner Mongolia-Ningxia ecological transition zone and the Hexi Corridor, offering valuable insights for similar ecological and agricultural challenges globally [4]