A ResNet50 trained on mel-spectrograms of basil plant voltages reportedly reaches 97% accuracy in a seven-emotion classification, yet the same table shows near-zero recall for three emotions and a macro F1 of 0.56.
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Plant Bioelectric Early Warning Systems: A Five-Year Investigation into Human-Plant Electromagnetic Communication
A ResNet50 trained on mel-spectrograms of basil plant voltages reportedly reaches 97% accuracy in a seven-emotion classification, yet the same table shows near-zero recall for three emotions and a macro F1 of 0.56.