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cropguard-system
The-Bricklayer7/cropguard-system
cropguard-system is a machine learning model from The-Bricklayer7. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Image-Based Crop Disease Detection System for Smallholder Farmers in Ghana. Final Year Project — Oppong David, BTech Computer Technology, Kumasi Technical University.
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Updated Aug 6, 2026
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At a glance
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- 403f212d
Model card
From the Hugging Face model README
CropGuard GH 🌿
Image-Based Crop Disease Detection System for Smallholder Farmers in Ghana. Final Year Project — Oppong David, BTech Computer Technology, Kumasi Technical University.
Two ways to run it
-
Instant / no install — open
cropguard.htmlon any phone or browser. Covers all 14 Ghanaian crops via the model; works offline as an estimate (English + Twi). Can also connect to the trained model — see Settings / docs. -
Full production system — the real Chapter 3 stack:
backend/train.py— train the MobileNetV2 modelbackend/app.py— FastAPI inference serverbackend/recommendations.json— treatment knowledge basefrontend/src/CropGuard.jsx— React frontend
Quick start (backend)
cd backend
pip install -r requirements.txt
python train.py --data ./data # train (needs a dataset)
uvicorn app:app --port 8000 # serve
Full details, API reference and report mapping: docs/DOCUMENTATION.md.
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026