Ivy plant electrical signals, recorded outdoors for five months, let machine learning models classify day/night, rain/dry, warm/cold, and windy/calm conditions with up to 95% macro F1.
In: 2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainabil- ity (CIETES)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems
Ivy plant electrical signals, recorded outdoors for five months, let machine learning models classify day/night, rain/dry, warm/cold, and windy/calm conditions with up to 95% macro F1.