AI RESEARCH
Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management
arXiv CS.LG
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ArXi:2604.28038v1 Announce Type: new Purpose: Fast detection of plant stress is key to plant phenotyping, precision agriculture, and automated crop management. In particular, efficient irrigation management requires early identification of water stress to optimize resource use while maintaining crop performance. Direct physiological sensing offers the potential to detect stress responses before visible symptoms appear.