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Deep Learning for Plant Disease Detection by madhunaik8687 is a document available to read on EtoBox.

What is Deep Learning for Plant Disease Detection about?

This report presents a deep learning-assisted framework for identifying plant diseases using Convolutional Neural Networks (CNN) based on the MobileNetV2 architecture. The system achieves high accuracy in disease classification and quantifies the severity of infection by estimating the affected leaf area, providing both qualitative and quantitative insights for farmers. The project aims to enhance agricultural practices through timely diagnosis and data-driven decision-making.

Author

madhunaik8687

Language

EN