Enhancing practicality of deep learning for crop disease identification under field conditions: insights from model evaluation and crop-specific approaches
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Background: Crop diseases can lead to significant yield losses and food shortages if not promptly identified and managed by farmers. With the advancements in convolutional neural networks (CNN) and the widespread availability of ... ...
