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Machine Learning for Crop Disease Detection by nandkishor979223 is a document available to read on EtoBox.

What is Machine Learning for Crop Disease Detection about?

This research presents a deep learning-based framework for automated crop disease detection using image classification, focusing on three architectures: a custom CNN, ResNet50, and EfficientNetB3. The study finds that EfficientNetB3 achieves the highest accuracy of approximately 95%, demonstrating its effectiveness for precision agriculture. The findings suggest that deep learning systems can provide reliable tools for early disease detection, crucial for sustainable farming practices.

Author

nandkishor979223

Language

EN