Architecture overview · v2.0
FarmHawk AI agents
Four specialised AI agents work together to convert satellite imagery, weather data, and farm boundaries into actionable crop intelligence.
Input sources
Farmer outputs
Core AI agents
AGENT · 01
Farm intelligence agent
Analyzes satellite data to understand crop health across the entire farm — detects problems weeks before they appear on the ground.
AGENT · 02
Satellite analytics agent
Processes multi-source earth observation data — auto-selects the best satellite source based on weather conditions and availability.
AGENT · 03
Weather intelligence agent
Analyzes climatic conditions affecting crop performance — combines weather with satellite data for context-aware recommendations.
AGENT · 04
Agronomy advisory agent
Converts satellite and weather analytics into farmer-friendly recommendations — generates localised action plans tailored to each farm.
Unified farmer outputs
Health score
Composite farm-wide crop health rating
Early alerts
Stress warnings weeks before visible damage
Irrigation plans
Precise water scheduling per field zone
Action reports
Localised multilingual PDF recommendations