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An integrated meteorological adaptive simulation-optimization framework for real-time irrigation scheduling considering perfect weather forecasts

Author

Listed:
  • Li, Kexin
  • Jiang, Yanan
  • Li, Ang
  • Tian, Xiangzhe
  • Lu, Jiatong
  • Wei, Tingting
  • Xiangli, Jiangfeng
  • Huang, Xifeng
  • Li, Yongmin
  • Sun, Shikun

Abstract

The imbalance between crop water demand and supply often exerts negative impacts on local agricultural development in climate variability sensitive areas with increasing extreme weather conditions. Optimizing irrigation strategies is essential for alleviating irrigation water scarcity and promoting sustainable agriculture.

Suggested Citation

  • Li, Kexin & Jiang, Yanan & Li, Ang & Tian, Xiangzhe & Lu, Jiatong & Wei, Tingting & Xiangli, Jiangfeng & Huang, Xifeng & Li, Yongmin & Sun, Shikun, 2026. "An integrated meteorological adaptive simulation-optimization framework for real-time irrigation scheduling considering perfect weather forecasts," Agricultural Systems, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:agisys:v:232:y:2026:i:c:s0308521x25003075
    DOI: 10.1016/j.agsy.2025.104567
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