How accurate are deep learning models in detecting crop diseases in African farms, and what are the practical challenges?
How effective is AI in diagnosing tropical diseases like malaria or dengue in resource-constrained environments?
Can someone explain the key advancements in neural network architectures that have led to better performance in image recognition tasks, particularly in convolutional neural networks (CNNs)?