AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Proposed model is an excellent guide to understanding the selection of best, high, performance models as well as how to apply the right optimization methods for soil type classification with high accuracy.
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.
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