Various pre-trained deep learning models, including DenseNet121, DenseNet201, ResNet50, VGG16, VGG19, and InceptionResNetV2 are explored to identify rice plant diseases and nutrient deficiencies, with Notably, a fuzzy distance-based ensemble of DenseNet121, DenseNet201, and VGG16 achieved the highest testing accuracy.
Kashyap Ramani, Nagamma Patil· SN Computer Science· 0 citations
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