What NDVI tells you
The number that measures crop health.
NDVI — Normalised Difference Vegetation Index — is a measure of how much live green vegetation is present in a given area, derived from satellite imagery. It ranges from -1 to +1. For agricultural land in Ghana, healthy crop cover typically reads between 0.6 and 0.85. Stressed crops, dry seasons, or early disease pressure push readings toward 0.4–0.55. Values below 0.4 indicate serious stress or bare ground.
The value of NDVI monitoring is early detection. Crop stress from drought, nutrient deficiency, or root disease shows up in satellite readings 2–3 weeks before it is visible walking the field. A block that reads 0.42 this week — down from 0.68 last month — gives you actionable time to irrigate, apply fertiliser, or investigate before yields are damaged.
Seneroy AI pulls Sentinel-2 L2A imagery at 10-metre resolution with cloud cover filtering at 40% or below — so readings are reliable even during Ghana's rainy seasons when cloud interference is common. Readings are timestamped and stored, so you can track each block's vegetation trend over the season.
How it works in Seneroy AI
Satellite data in three taps.
1
Map your farm blocks
Enter the GPS bounding box for each named farm block — Anane Block, Central Block, River Side, or whatever names you use. The GPS editor accepts coordinates in decimal degrees and can be updated any time.
2
Fetch live NDVI
Tap "Fetch Live NDVI" and Seneroy AI queries the Copernicus Data Space API for the most recent Sentinel-2 L2A acquisition for your coordinates. The app filters for cloud cover and returns NDVI readings per block, typically within 10–30 seconds.
3
Get AI interpretation
Lena AI interprets the readings in context — which block is performing above regional average, which is showing stress, and what to do about it today. Readings are also fed into the Decision Engine for crop-specific risk scoring.
Applications for Ghana farming
What farmers use satellite data for.
🌱Early Stress Detection
Identify drought, nutrient deficiency, or root disease 2–3 weeks before visual symptoms appear. Intervene before yields are lost.
🛡️EUDR Verification
Prove continuous vegetation cover for EUDR compliance. Date-stamped Sentinel-2 readings confirm your cocoa or cashew blocks have not been deforested.
💧Irrigation Decisions
Compare NDVI across blocks to identify which areas are most stressed and need water first — especially useful during dry season cashew and mango management.
📊Yield Forecasting Input
NDVI readings feed directly into Seneroy AI's Monte Carlo yield forecast. Healthier vegetation = higher projected yield. Stressed blocks reduce the forecast.
🐝Hive Placement Optimisation
NDVI maps show which blocks have highest biomass and flowering density — informing where to place beehives for maximum pollination and honey yield.
🌍Carbon Credit Evidence
Time-series NDVI data provides satellite evidence of carbon sequestration for Verra and Gold Standard carbon credit applications — valuable for ISO 14001 reporting.