How satellite crop monitoring works — no drones, no hardware

How satellites monitor your crops

Every few days, Earth observation satellites like Sentinel-2 pass over your farm and capture high-resolution imagery in multiple wavelengths — visible light, near-infrared, and shortwave infrared. This imagery contains far more information than a regular photograph.

FarmHawk's AI processes this imagery to extract crop intelligence: vegetation health (NDVI), soil moisture stress (NDMI), crop growth stage, and anomaly detection. The result is a comprehensive farm report delivered in your preferred language.

The three-step process

Step 1: Map your farm

You provide your farm's location by drawing boundaries on a map or dropping a pin. This takes less than a minute on any smartphone. FarmHawk uses these coordinates to identify the exact satellite imagery tiles that cover your farm.

Step 2: AI analysis

FarmHawk's crop-specific AI engines process the satellite imagery. Unlike generic image analysis, FarmHawk understands the difference between a rice paddy in Andhra Pradesh and a cocoa plantation in Lagos. Each crop has its own spectral signature, growth cycle, and stress indicators.

The AI examines:

Step 3: Advisory delivery

You receive an actionable report in your language — not just raw data, but specific recommendations: when to irrigate, where to apply fertiliser, which sections of your farm need attention, and what to expect at harvest.

Why no hardware is required

Traditional precision farming requires expensive equipment: IoT soil sensors ($200-500 per device), drone systems ($1,000-10,000), or GPS-equipped machinery ($50,000+). This puts precision agriculture out of reach for the vast majority of the world's farmers.

Satellite imagery is already being captured — every day, orbiting above every farm on Earth. FarmHawk simply makes this data accessible and actionable. The only equipment you need is a phone with basic internet access.

What makes FarmHawk different

Most satellite monitoring services deliver raw data to agronomists and enterprises. FarmHawk is built for smallholder farmers: the advisory is in 14 languages, the interface works on low-end smartphones, and the AI understands the specific crops and growing conditions in India, Nigeria, and Kenya.

Frequently asked questions

How often is satellite imagery updated?

Sentinel-2 satellites revisit the same location every 5 days. FarmHawk analyses are typically available within hours of a new satellite pass, depending on cloud cover conditions.

Does cloud cover affect satellite monitoring?

Yes. Thick cloud cover prevents optical satellites from capturing clear imagery. FarmHawk's AI selects the best available imagery and can supplement with Sentinel-1 radar data, which penetrates clouds, for soil moisture assessment.

How accurate is satellite crop monitoring compared to drones?

For vegetation health monitoring, satellite-based NDVI analysis achieves comparable accuracy to drone-based monitoring for most agricultural applications. The key advantage is scale: satellites cover your entire farm simultaneously, while drones require manual flight planning and operation.