Agriguard is an early-stage experimental project aimed at building a smart decision-support tool for agriculture.
The long-term goal is to help farmers and agronomists monitor crop conditions, assess risks (disease, pests, weather), and make data‑driven decisions using simple, explainable analytics.
Status: Work in progress / prototype
Modern agriculture generates a lot of data (weather, soil, satellite imagery, sensor readings), but most small and medium farmers do not have easy tools to turn that data into actionable insights. Agriguard aims to:
- Collect and organize relevant agricultural data.
- Run basic analytics or ML models to estimate risk (e.g., disease, yield, water stress).
- Provide clear, interpretable outputs and simple recommendations.
Right now, this repository is used as a sandbox for experimentation and environment setup.
- Crop and field configuration management.
- Data ingestion from external sources (e.g., weather APIs, CSV datasets).
- Basic risk scoring for crop diseases or yield anomalies.
- Simple visualizations and reports for non-technical users.
- Optional integration with messaging or web interfaces for quick alerts.
These features are planned and not yet fully implemented.
Agriguard/
├── antigravity/ # Placeholder / experimental code (to be refactored or removed)
├── credentials.json # ⚠️ Should not be committed; move to environment variables / secrets
└── ... # Additional files as the project evolves