Research on Key Technologies for Analyzing High-efficiency Low-carbon Intelligent Irrigation Decision-making

Abstract

Against the backdrop of global water scarcity and the advancement of carbon peaking and carbon neutrality goals, agricultural irrigation—being the largest water consumption sector—has become pivotal for resolving water supply-demand imbalances and achieving sustainable green agriculture through efficient, low-carbon, and intelligent transformation. Smart irrigation decision-making technologies integrate sensing, modeling, control, and optimization systems to enable precise irrigation management, enhancing water utilization efficiency while reducing energy consumption and carbon emissions, thus serving as a cornerstone for modern agricultural development. Israel, a global leader in agricultural water conservation and smart irrigation, has developed world-class low-carbon intelligent irrigation decision systems through decades of technological research and practical implementation in extreme arid environments. Its technical expertise and application models provide valuable references for arid and semi-arid regions worldwide. This study focuses on Israeli agricultural research to systematically analyze the core principles and technical frameworks of efficient low-carbon irrigation decision-making. It examines Israel's breakthroughs in key technologies—including irrigation sensing, decision modeling, low-carbon control, and system integration—alongside case studies of their applications. The research identifies current implementation challenges and bottlenecks, while aligning with global carbon neutrality objectives and agricultural modernization needs to explore future technological trends and optimization pathways. Research indicates that the core advantages of Israel's high-efficiency, low-carbon intelligent irrigation decision-making technology lie in "precision sensing, intelligent modeling, low-carbon control, and integrated systems." By integrating multi-source data fusion, dynamic model optimization, renewable energy coupling, and end-to-end system integration, this technology achieves dual improvements in water resource utilization efficiency and carbon reduction benefits. Furthermore, the deep integration of technological R&D with agricultural practices, coupled with a robust industry-academia collaboration mechanism, provides solid foundations for large-scale implementation. This study offers valuable insights for developing, applying, and promoting high-efficiency, low-carbon intelligent irrigation technologies in China and other countries, contributing to global agricultural progress toward water conservation, low-carbon practices, and high-quality development