Plant Disease Detection Project

Plant Disease Detection Project Code, Document And Vidoe Tutorial

Youtube link: https://youtu.be/VPW8OGHTUrk?si=u5sPWT44gSTRzi1M

Abstract

This project presents a machine learning-based approach for detecting and identifying plant diseases from images of affected plants. Utilizing convolutional neural networks (CNNs) and transfer learning techniques, we develop an accurate and efficient disease detection system. Our results demonstrate the potential of computer vision and deep learning algorithms in enabling early disease detection, reducing crop losses, and improving food security.

Keywords Plant Disease Detection, Machine Learning, Deep Learning, Convolutional Neural Networks (CNNs), Transfer Learning, Computer Vision, Image Processing, Precision Agriculture, Crop Monitoring, Food Security, Agricultural Technology, Plant Pathology.

Project include:

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

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