AI Agricultural Crop & Tomato Leaf Disease Prediction System
Computer vision leaf disease diagnosis application identifying Early Blight, Late Blight, and healthy states with treatment and fertilizer advisory.
### AI Agricultural Crop & Plant Leaf Disease Diagnostic Engine
An intelligent precision agriculture project empowering farmers to diagnose crop diseases early from smartphone leaf photos. Utilizing a Deep Convolutional Neural Network (CNN) trained on the PlantVillage dataset, it detects Early Blight, Late Blight, Septoria Leaf Spot, and Bacterial Spot with >97% diagnostic accuracy and provides organic/chemical treatment advice.
#### 🧠 Architecture & Tech Stack:
- **Deep Learning Core**: PyTorch / TensorFlow CNN (ResNet-34 / MobileNet)
- **Dataset**: 10,000+ Annotated Tomato and Crop Leaf Disease Images
- **Web Interface**: Django 5 with instant photo drag-and-drop diagnostic results
- **Remediation Database**: Curated catalog of pesticide recommendations and preventive measures per diagnosed disease
What's Included in the Package:
- Complete Python & Django Web Application Source Code
- Pre-trained CNN & ResNet Leaf Disease Weights
- Curated PlantVillage Crop Dataset
- Comprehensive 50+ Page IEEE Project Report (Word DOC & PDF)
- Defense Presentation Slides (PPTX)
- Video Installation Guide
Quick Build & Interfacing Guide:
Unbox and verify all pre-tested sensors, microcontrollers, and wiring components included in your package.
Secure mechanical brackets, servos, and modules to the main frame using the provided mounting hardware.
Interface VCC, GND, and GPIO signal lines according to the verified schematic diagram provided with the kit.
Upload the tested source code via Arduino IDE, Python, or ESP-IDF and verify live sensor readings and actuation.
Key Features
Specifications
Community Questions & Answers
Have a question about compatibility, code, or delivery? Ask our engineering team or see what other Pakistani makers asked.
Bhai tomato k ilawa konsi crops supported hain? Aur WhatsApp pe setup help mil sakti hai agar error aye?
The model is pre-trained on Tomato, Potato, and Corn leaf diseases with over 97% accuracy. Yes, our engineering team provides free WhatsApp setup assistance to guide you through virtual environment and package installation on your laptop.