A 0.231M-parameter CNN achieves 90.0% accuracy on potato drought stress detection, and removing 5% of low-gradient-score training samples improves accuracy from 88.6% to 90.0%.
IdentificationandClassificationofMaizeDroughtStressUsing Deep Convolutional Neural Network.Symmetry, 11(2):256, 2019
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MRD-LiNet: A Novel Lightweight Hybrid CNN with Gradient-Guided Unlearning for Improved Drought Stress Identification
A 0.231M-parameter CNN achieves 90.0% accuracy on potato drought stress detection, and removing 5% of low-gradient-score training samples improves accuracy from 88.6% to 90.0%.