Tailoring convolutional neural networks for custom botanical data
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Premise: Automated disease, weed, and crop classification with computer vision will be invaluable in the future of agriculture. However, existing model architectures like ResNet, EfficientNet, and ConvNeXt often underperform on s... ...
