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SKU: AI-109

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.

Quick Summary & Specs

AI Agricultural Crop & Tomato Leaf Disease Prediction System is a complete, ready-to-deploy software & FYP codebase designed for university final year projects, academic research, and full-stack development. Includes complete source code, database schema, setup documentation, and technical support across Pakistan.

24-48h Dispatch Cash on Delivery 7-Day Support & Warranty
Rs 18000.00

100 In Stock
Tested & Quality Guaranteed 100% Verified Deep Learning Diagnostic Engine. Instant Download.
Fast Local & Nationwide Shipping Same-Day Dispatch in Lahore | 2-3 Days COD to Karachi, Islamabad & All Pakistan.

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 Deep Learning Model Weights (.h5 / .pt)
  • Curated Leaf Disease Image Dataset (10+ Disease Classes)
  • Remedy & Pesticide Recommendation Engine
  • Comprehensive IEEE Format FYP Report
  • Viva Defense Guide & Presentation Slides
  • Lifetime Code Access & WhatsApp Support

Software Setup & Deployment Guide:

Step 1: Extract Source Code & Docs

Download and extract the complete source code package, database schema, and architecture documentation provided with your order.

Step 2: Install Project Dependencies

Open the project directory in VS Code or your preferred IDE and install the required runtime libraries and packages listed in the setup guide.

Step 3: Configure Environment & DB

Set up your environment configuration variables and run the included database migrations or seed scripts.

Step 4: Launch & Verify Modules

Start the local development server or build executable and test all user, admin, and core functional workflows.

Software FYP Note: Includes 100% unencrypted source code, database files, deployment documentation, and 7-day setup assistance across Pakistan.
Custom Prototyping & FYP Enclosures

Need a Custom 3D Printed Casing or Multilayer PCB?

Get custom snap-fit enclosures and robotics parts printed via our custom 3D printing service in Lahore & Pakistan, or order industrial double-sided circuit boards through our custom PCB fabrication service with nationwide delivery.

Key Features

AI Model Mobile NetV3
Admin Can Add Course About Crops
Authentication Login/Register Django Framework
Crop Disease Upto To 3
Hardware Related Temprature and Humidity Sensor
Machine Learning Pretrain Model

Specifications

Backend Django (Python)
Database SQL LITE
Deployment Dockerized container (manual installation requires extra setup cost of 5000)
Frontend HTML, CSS, JavaScript, Bootstrap
Note If You Need AnyKind of Code Snippet Related To This Project We Will Provide
Ram/Processor 8gb/3.5Ghz

Community Questions & Answers

Have a question about compatibility, code, or delivery? Ask our engineering team or see what other Pakistani makers asked.

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Verified Answers by ISOL Engineers
B
Bilal Ahmed Verified Buyer
2 months, 2 weeks ago

Bhai tomato k ilawa konsi crops supported hain? Aur WhatsApp pe setup help mil sakti hai agar error aye?

ISOL Engineering Team Aug 19, 2026

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.

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