high resolution satellite imagery · 10m Resolution

Crop Intelligence

Up to daily satellite imagery, so you see changes in your fields as they happen. VersaAgro turns that imagery into yield forecasts, harvest timing and early stress warnings.
Clouds can delay imagery.

Open NDVI Analysis Screen Join the Waitlist

Plant Digital Twin Health Grid - Color Key

Low values: clouds and water

Low-density vegetation

Moderate: grasslands and senescent vegetation

Relatively good value

Good value

High values: dense green vegetation

NDVI 0.847 — Optimal

NDVI 0.731 — Good

NDVI 0.423 — Moderate Stress

NDVI 0.312 — stress (sample)

10m × 10m

Min Detection Cell

Up to daily

Imagery cadence

1.5%

Within trials*

Methodology

How Crop Intelligence Works

From raw satellite pixels to precise field interventions — four integrated steps powered by patented algorithms and dual-source data validation.

Satellite Ingestion

We collect high resolution satellite imagery of your fields up to daily and clean out clouds.

NDVI Computation

NDVI = (NIR − Red) / (NIR + Red) computed per 10m × 10m pixel. Multi-temporal compositing across 6 scan dates eliminates cloud contamination. Anomaly detection flags cells with >0.15 week-on-week NDVI decline.

Optional: add your sensors

Already have in-field sensors? We can bring that data in too — optional ground truth on top of satellite imagery.

Digital Twin Update

Each scan cycle updates the field's digital twin: GDD accumulation refreshes, growth stage transitions, yield forecast recalibrates, and harvest window prediction narrows as the season progresses.

Zone-Level Intelligence

Sub-field analysis Sample data – illustrative field

Illustrative zones from a sample field layout. Each zone corresponds to a distinct NDVI region from satellite imagery.

Zone	Area (ha)	NDVI Score	NDVI Trend	Soil FC %	Status	Recommended Action
Zone A — North West	218 ha	0.847	+0.031 vs last scan	87%	Optimal	Continue current schedule. Monitor GDD accumulation.
Zone B — North East	192 ha	0.731	+0.008 stable	79%	Good	Monitor NDVI trend in this zone. Forecast: Harvest Sep 16. (Sample data)
Zone C — South Centre	165 ha	0.423	−0.118 declining	52%	Moderate Stress	Increase irrigation run-time by 35%. Foliar inspect by Day 3.
Zone D — South West	147 ha	0.312	−0.240 critical	18%	Possible irrigation problem – inspect	Possible irrigation problem — inspect. Illustrative zone only; not a live field alert.
Zone E — East Block	125 ha	0.634	+0.017 improving	74%	Good	Recovery trend confirmed. Continue supplemental irrigation.

Digital Twin Intelligence

Crop growth model Sample data

Every scan cycle updates the field's digital twin parameters — giving you a continuous physiological model of each crop's development state and yield trajectory.

1,842

Growing Degree Days (GDD)

°C·day accumulated since May 4

Phenological Growth Stage

Seed Fill — pod elongation active

8.4 t/ha

Yield Forecast

±0.12 t/ha confidence interval

Sep 14

Predicted Harvest Window

±3 days based on GDD trajectory

84%

Soil Field Capacity (Mean)

Zone D excluded — 18% FC critical

Low

Composite Stress Index

Excluding Zone D irrigation alert

Crops we support

Built around the crops growers ask for most

Built for 25+ crops, from cotton and corn to coffee, agave and avocado.

25+ crops

AgaveAvocadoBananaBarleyBeansBlue Agave (Los Altos)CassavaChickpeaCoffeeCorn/MaizeCottonHayLettuceMilletPeanutPepperPlantainPotatoRiceSorghumSoybeansSugarcaneSweet PotatoTeaTeffTomatoWheatYam

Within 1.5% of actual yield in multi-year university trials (cotton and sorghum). Crop models are added and refined as growers join the beta.

Cotton · Corpus Christi, Texas

Corpus Christi, Texas: an irrigation rupture affecting about 20% of the yield was detected from satellite imagery about 3 months before harvest. The farmer never saw the problem.

Blue agave · Jalisco, Mexico

Jalisco, Mexico (Blue Agave, Los Altos): we identified critical water stressors and gave precise actions on how much to water, using the current water balance and the 14-day forecast.

Satellite Specifications

Imagery at a glance

High resolution satellite imagery, cleaned for clouds, at field scale.

Spatial resolution	10 m × 10 m SuperRes AI option — 1 pixel = 2 m
Imagery cadence	Up to daily (weather and clouds permitting)
NDVI	Plant greenness index from satellite reflectance
Optional sensors	Integrate ground sensors you already own
Yield accuracy*	Within 1.5% of actual yield in multi-year university trials

*Individual results vary. Not a guarantee.

Beta spots are limited

See Your Fields Through the Satellite

Selected growers receive field-level data going back 10 years within a week, plus founding-grower pricing.

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