https://github.com/projects-developer/plant-disease-detection-project

A machine learning-based project aimed at detecting and identifying plant diseases from images of affected plants. Plant Disease Detection Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/plant-disease-detection-project

btechprojects computer-science-project computerscienceprojects computervision convolutionalneuralnetworks deeplearning final-year-projects finalyearprojects imageprocessing machinelearning mtechprojects plantdiseasedetection precisionagriculture transferlearning

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A machine learning-based project aimed at detecting and identifying plant diseases from images of affected plants. Plant Disease Detection Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

• Host: GitHub
• URL: https://github.com/projects-developer/plant-disease-detection-project
• Owner: Projects-Developer
• Created: 2024-12-28T07:41:04.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2025-01-18T11:54:10.000Z (3 months ago)
• Last Synced: 2025-01-18T12:31:55.265Z (3 months ago)
• Topics: btechprojects, computer-science-project, computerscienceprojects, computervision, convolutionalneuralnetworks, deeplearning, final-year-projects, finalyearprojects, imageprocessing, machinelearning, mtechprojects, plantdiseasedetection, precisionagriculture, transferlearning
• Homepage: https://www.finalproject.in/
• Size: 3.91 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Plant Disease Detection Project

Plant Disease Detection Project Code, Document And Vidoe Tutorial

![Plant Disease](https://github.com/user-attachments/assets/e8c20642-3428-4a85-b9ee-e2eb5f031c55)

## 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

### Need Code, Documents & Explanation video ? 

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