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.
Advances in smart environment monitoring systems using iot and sensors,
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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.