Agritech
Agricultural Technology (Agritech)
Agritech uses digital tools, sensors, mapping and data to help farmers produce, manage, store and sell agricultural products more effectively.
Tools and technologies
- QGIS
- Google Earth Engine
- Sentinel satellite data
- Low-cost soil and weather sensors
- LoRaWAN / IoT
- Mobile data-collection apps
- Python and spreadsheets
Practical examples
- A farm register that records plots, crops, planting dates and harvest volumes.
- A rainfall and soil-moisture log that helps plan irrigation.
- A market-price bulletin for farmers and cooperatives.
Application areas
- Precision farming
- Crop and soil monitoring
- Weather and irrigation planning
- Pest and disease alerts
- Farm logistics
- Market access and traceability
Suggested hands-on project
Mini project: map a farm in QGIS, record plot boundaries and crop types, then create a simple harvest-and-cost dashboard. Validate observations with farmers and local agricultural officers.
A typical workflow
Understand farmers’ needs → collect field data with consent → map and clean records → build a useful alert or dashboard → test connectivity and usability → train users → measure outcomes.
How to get started
Choose one small, measurable problem, build a prototype with sample data, document assumptions, test common failure cases, and collect feedback before expanding it.
Responsible use: Satellite and sensor data can be incomplete or misleading. Account for local conditions, connectivity, affordability, data ownership and farmers’ informed consent.