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cs.LG2026
Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management
Eduard Buss, Till Aust, Heiko Hamann
Purpose: Fast detection of plant stress is key to plant phenotyping, precision agriculture, and automated crop management. In particular, efficient irrigation management requires e…
cs.LG2025
When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems
Eduard Buss, Till Aust, Heiko Hamann
Living plants, while contributing to ecological balance and climate regulation, also function as natural sensors capable of transmitting information about their internal physiologi…
cs.LG2024
Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals
Till Aust, Eduard Buss, Felix Mohr +1
In our project WatchPlant, we propose to use a decentralized network of living plants as air-quality sensors by measuring their electrophysiology to infer the environmental state,…