🌾 Plotwise — Smart Farming Platform for Nagaland

An AI-powered full-stack farming platform built specifically for Nagaland farmers — combining crop disease detection, real-time market prices, planting calendars, government scheme discovery, and a department-level analytics dashboard.

Author: Limawapang Jamir
Built for: Department of Agriculture, Nagaland
Stack: Python · FastAPI · TensorFlow · EfficientNet · HTML/CSS/JS · Chart.js

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🎯 Why This Exists

Nagaland is still a food deficit state despite over 60% of its population being farmers. The core problems:

• Farmers sell cheaply to middlemen because they don't know current market prices
• Crop diseases go undetected until it's too late
• Farmers miss out on government schemes they qualify for
• The Agriculture Department has no unified data view across districts

Plotwise solves all four.

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✨ Features

For Farmers

Feature	Description
🔬 Disease Detection	Upload a leaf photo → AI identifies disease + treatment
📈 Live Prices	Real-time mandi prices across Nagaland districts
📅 Planting Calendar	District-specific sow/harvest windows for 10 crops
🏛️ Scheme Finder	Enter crop + district → see all schemes you qualify for

For the Agriculture Department

Feature	Description
📊 Yield Analytics	District-wise crop production trends across years
🗺️ Disease Heatmap	Which crops/districts have most disease reports
💰 Scheme Tracking	Disbursement data and farmer enrollment

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📁 Project Structure

plotwise/
│
├── backend/
│   └── src/
│       └── main.py              # FastAPI backend — all endpoints
│
├── frontend/
│   └── src/
│       └── index.html           # Full single-page web app
│
├── ml/
│   └── train_disease_model.py   # EfficientNetB0 crop disease model
│
├── data/sample/                 # Sample crop data CSVs
├── docs/                        # API documentation
│
├── requirements.txt
└── README.md

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🚀 Quick Start

1. Install

git clone https://github.com/Limajmr8/plotwise.git
cd plotwise
pip install -r requirements.txt

2. Start the API

uvicorn backend.src.main:app --reload --port 8000

3. Open the app

# Just open in your browser:
open frontend/src/index.html

That's it. The app runs locally without any configuration.

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🌐 API Endpoints

Method	Endpoint	Description
GET	/	Health check
POST	/disease/detect	Upload leaf image → disease prediction
GET	/prices	Market prices (optional: crop, district filter)
GET	/calendar	Planting calendar by district
POST	/schemes	Find government schemes for crop + district
GET	/dashboard/yield	Yield analytics for department dashboard
GET	/districts	List all Nagaland districts
GET	/crops	List all supported crops

Example: Detect disease

curl -X POST http://localhost:8000/disease/detect \
  -F "file=@leaf.jpg" \
  -F "crop=Rice"

Example: Get prices

curl "http://localhost:8000/prices?district=Kohima&crop=Ginger"

Example: Find schemes

curl -X POST http://localhost:8000/schemes \
  -H "Content-Type: application/json" \
  -d '{"district": "Mokokchung", "crop": "Rice", "land_acres": 2.5}'

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🧠 Disease Detection Model

The ML model uses EfficientNetB0 with transfer learning trained on the PlantVillage dataset (54,000 images), filtered to crops relevant to Nagaland:

• Rice Blast, Bacterial Blight, Brown Spot
• Maize Gray Leaf Spot, Northern Leaf Blight
• Ginger Soft Rot, Bacterial Wilt
• Potato Early/Late Blight
• Chilli Leaf Curl
• Healthy (negative class)

# Train the disease model
python ml/train_disease_model.py --epochs 20 --batch 32

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🗺️ Nagaland Coverage

All 12 districts supported with district-specific crop recommendations: Kohima · Dimapur · Mokokchung · Wokha · Zunheboto · Tuensang · Mon · Phek · Peren · Kiphire · Longleng · Noklak

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🔮 Roadmap

• Offline mode (PWA) for low-connectivity areas
• Nagamese language support
• SMS-based alerts for disease outbreaks
• Integration with state APMC price API
• Android APK via Capacitor
• Farmer profile and yield history tracking

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👤 Author

Limawapang Jamir | B.Tech CSE, Bennett University (2020–2024)
From Mokokchung, Nagaland
📧 limawapang8@gmail.com | LinkedIn | GitHub

Built with the goal of putting real tools in the hands of Nagaland's farming community.