抄録
Against the backdrop of increasingly scarce global agricultural resources and intensified climate change, efficient dynamic management of farmland water and temperature has become a key link in achieving sustainable agricultural development. With its powerful capabilities in data collection, transmission, storage, and intelligent analysis, big data technology is increasingly serving as an important support for promoting precision agricultural management. This paper systematically reviews the current research status and technical requirements of farmland water and temperature management, with a particular focus on the integrated application and optimization strategies of big data in precision irrigation and thermal environment regulation. Through analyses of typical application cases, the effectiveness of big data in improving agricultural water-use efficiency, enhancing crop adaptability, and strengthening stress resistance is demonstrated. Additionally, this study examines the adaptive management strategies required to address the uncertainties associated with climate change. It highlights the potential of data-driven dynamic regulation in enhancing agricultural system resilience. Finally, the technical bottlenecks related to data integration, multi-source heterogeneous information processing, and intelligent decision-making are summarized, and future research directions are proposed. This paper aims to provide both theoretical support and practical reference for the in-depth application and promotion of big data technology in agriculture.
