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8csc 41 Research by nikhilkumar.gdscpoornima is a document available to read on EtoBox.

The document presents an AI-based plant disease detection system that utilizes a combination of Convolutional Neural Networks (CNNs) and Support Vector Machines (SVMs) to identify and classify plant diseases from leaf images. The system achieves a test accuracy of 96.3% using a mobile application that allows farmers to diagnose diseases in real-time and receive management recommendations. The approach addresses challenges in agricultural disease detection by employing transfer learning, data augmentation, a

Author
nikhilkumar.gdscpoornima
Language
EN