Precision Agriculture — Agriculture, Food Security & Rural Land Systems — Satellize

3.1Subsection · 6 applications

Precision Agriculture

Farmer crouching in a green crop field holding a tablet displaying field maps — A female gardener uses a tablet to manage plants, reflecting how satellite crop monitoring empowers growers with real-time field intelligence.

Satellite Crop Monitoring: Field to Farmer

1
Satellite Constellation
Multispectral sensors capture NDVI imagery daily
2
Ground Reception
Raw data downlinked to regional ground stations
3
Analytics Platform
AI detects stress, yield forecast, input maps
4
Farmer Advisory
SMS or app delivers field-specific action alerts

Daily satellite passes feed crop-stress models that translate into precise, field-level guidance delivered directly to farmers.

Other areas in Agriculture, Food Security & Rural Land Systems

All of agriculture

Food Security Systems

Subsection 3.1 — Agriculture, Food Security & Rural Land Systems

Precision Agriculture

6 applications.

Applications

3.1.1 Crop Health Monitoring — Detecting crop stress, disease, pest pressure and nutrient deficiency at field scale using multispectral and hyperspectral satellite imagery revisited weekly or better.
3.1.2 Precision Fertilizer Management — Using multispectral and hyperspectral satellite imagery to map crop nutrient status field-by-field and generate variable-rate fertilizer application prescriptions.
3.1.3 Precision Irrigation — Using satellite-derived soil moisture, evapotranspiration and crop stress indices to schedule and target irrigation at field-parcel resolution, cutting water waste while protecting yield.
3.1.4 Precision Seeding Systems — Using satellite-derived soil, terrain and crop-history data to prescribe variable-rate seeding maps that maximise yield while cutting input waste.
3.1.5 Farm Machinery Optimization — Using satellite positioning, Earth observation and communications to guide, schedule and performance-monitor agricultural machinery across national farmland at centimetre-level precision.
3.1.6 Field Variability Analysis — Mapping within-field spatial variability in soil properties, topography and crop performance to drive zone-specific agronomic decisions at scale.