Projects/Computer Vision/AI-Based Crop Disease Detection & Smart ...
Computer Vision🎓 Final YearAdvanced

AI-Based Crop Disease Detection & Smart Agriculture Platform

A computer vision and ML platform that detects crop diseases from leaf images, provides treatment recommendations, and offers smart farming analytics.

PythonTensorFlowReactFastAPIPostgreSQL
Tier
Premium
License
Academic
Includes
9 items
Modules
5
₹2,299
One-time purchase • Lifetime access

This kit includes:

  • Complete source code
  • Pre-trained CNN model
  • Training scripts and dataset links
  • Architecture diagrams
  • SRS and abstract
  • Literature survey
  • +3 more items
Secure payment via Razorpay
Instant access after purchase
Educational license included

About This Project

This project delivers a comprehensive smart agriculture platform that uses deep learning to identify crop diseases from photographs taken by farmers' smartphones, then provides actionable treatment recommendations. The CNN-based model is trained to classify 38 different plant diseases across multiple crops. The mobile-friendly web application allows farmers to upload photos and receive instant diagnosis with confidence scores and treatment guidance. **Social Impact:** This project addresses a critical real-world problem — crop diseases cause 20-40% yield loss globally. The combination of AI + agriculture makes it stand out as a meaningful and innovative project.

Project Modules

01
Disease Detection
CNN-powered image classification for 38 plant diseases
02
Recommendation Engine
Treatment plans based on disease identification
03
Farmer Portal
Upload, diagnose, and track crop health
04
Weather Integration
Disease risk alerts based on weather patterns
05
Admin Dashboard
Usage analytics and system management
₹2,299

Tags

agriculturecrop diseasecomputer visiontensorflowcnnfinal year