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What is Crop about?

This document discusses the application of deep learning and image processing techniques for the detection and classification of crop diseases, emphasizing the use of Convolutional Neural Networks (CNNs). It highlights the advantages of automated detection over traditional methods, the importance of early disease identification, and the challenges faced in deploying these models in real-world agricultural settings. The paper also reviews various deep learning approaches, performance metrics, and the necessi

Author

Sowjanya HR

Language

EN