An automated pipeline using tsfresh features and AutoML can separate ozone-exposed from non-exposed ivy plant signals in the lab, but the held-out accuracy is lower than the headline.
Phytonodes for environmental monitoring: Stimulus classification based on natural plant signals in an interactive energy- efficient bio-hybrid system,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1roles
method 1polarities
unclear 1representative citing papers
citing papers explorer
-
Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals
An automated pipeline using tsfresh features and AutoML can separate ozone-exposed from non-exposed ivy plant signals in the lab, but the held-out accuracy is lower than the headline.