MangiferaNet: A Lightweight and Intelligent Web-Based Framewor

• Tech Stack: Python, google colab notebook, MATLAB, Tensorflow, Keras 3 API
• Research Paper: Link
• Github URL: Project Link

This study addresses the challenge of mango leaf disease detection, which significantly impacts agricultural productivity. It introduces MangiferaNet, a lightweight and intelligent framework built on the MobileNetV2 architecture, designed for accurate and efficient classification of mango leaf diseases. Achieving a classification accuracy of 98%, the model outperforms existing methods. Integrated into a user-friendly web application, MangiferaNet offers a practical and accessible tool for farmers and agricultural stakeholders, enabling timely disease diagnosis and improved mango yield through early intervention.