CROP PREDICTOR

Know how much every hectare will produce. Before harvest.

CROP PREDICTOR delivers weekly per-parcel yield predictions with AI models built exclusively for your operation. Beyond monitoring. Forward-looking yield intelligence.

Schedule a Technical Demo See how it works
THE PROBLEM

Estimation is not prediction

Every harvest, the same pattern:

You plan logistics with your field team's best estimate.

Reality arrives and the deviation is 10%, 15%, sometimes more.

Equipment idle waiting for grain that didn't come. Or production bottlenecked because volume exceeded capacity.

The CFO asks: "why were the numbers wrong?"

On a 10,000 ha operation with average yield of 75 t/ha and commodity price at USD 400/ton:

in uncaptured value for every 1% of error in your yield estimate. USD $405,000

Uncaptured value per estimation error

1%
$405K
2%
$810K
3%
$1.2M
4%
$1.6M
5%
$2.0M

Base: 10,000 ha sugarcane operation, 75 TCH, USD 400/ton. Adjust for your crop and market.

Your team isn't the problem. Your tools are. Field experience, historical averages, and vigor maps were built for a stable climate. Seasons are no longer stable. The gap between estimating and predicting is where value disappears.

HOW IT WORKS

Your operation is not generic. Your model shouldn't be either.

Others extrapolate. We predict.

Most platforms that claim to do "prediction" take a vegetation vigor map (NDVI) and apply a generic formula to estimate yield. No calibration. No learning. The same model for a corn field in Iowa as for a soy operation in Mato Grosso.

LAYERS does something fundamentally different: we build an AI model trained exclusively with your operation's data.

What goes into your model

01

3+ years of historical data

The model learns patterns from YOUR soil, YOUR varieties, YOUR cycle

02

Multispectral satellite imagery

Real crop status in real time, every 5-12 days

03

Continuous climate data

Variables that affect yield: rainfall, temperature, radiation

04

Field samples

Cross-validation with real data from your agronomists

Custom AI Model

Trained exclusively with your data

What comes out

Weekly per-parcel yield predictions. Tons per hectare. Updated every week. Available in dashboard, CSV, API, or PowerBI.

And a model that improves with every season: quarterly retraining with new data, quality filtering, and integration of technological improvements.

Dashboard CSV API PowerBI

This is what your team opens every Monday morning

Live
Parcel map
Temporal analysis
CAR Analysis
Harvest optimizer
01 / 04
Live
01/04
01

Parcel map with estimated yield per lot, color-coded by range
VALUE

The 4 value levers

Feature

Weekly per-parcel yield projections (t/ha)

Palanca operativa

You reduce the gap between estimated and actual. Your harvest scheduling, transport logistics, and labor management align with what the field will actually deliver.

KPIs de industria

1Estimated vs. actual production deviation (%)
2Processing days lost due to supply/demand mismatch
3Logistics cost per ton processed

Financial Impact

USD $405,000

in additional value recovered with 1% yield estimate improvement over 10,000 ha.

Cost of Inaction

An operation running with +-15% yield estimation error leaves between USD $160 and $400 per hectare on the table every season. That money doesn't disappear. Inefficiency takes it.
YOUR CROP. YOUR MODEL. YOUR LANGUAGE.

Every crop has its own rhythm. We built a dedicated experience for each one.

Sugarcane doesn't behave like corn. Soy doesn't respond like wheat. Every crop has its own agronomic logic, its own critical decisions, and its own KPIs. That's why LAYERS doesn't offer a generic platform with a crop selector. We build custom predictive models per crop, calibrated with local field data, validated against real harvest outcomes, and designed around the decisions that actually matter for your operation.

Each crop gets its own dedicated space: tailored content, industry-specific metrics, relevant case studies, and a forecasting model built from the ground up for that crop's biology and economics.

Sugarcane

Live

TCH forecasting for mills and processing plants across Latin America and Brazil

Purpose-built models for sugarcane yield prediction. Content in Spanish and Portuguese, adapted to the realities of the sugar industry, from harvest planning to industrial capacity optimization.

LATAM Explore Sugarcane Hub
BRASIL Conheça o Hub de Cana

Corn

Yield forecasting for grain producers and cooperatives

Coming Soon

Soy

Production prediction for South America's largest export crop

Coming Soon

Wheat

Harvest forecasting for temperate grain operations

Coming Soon

Cotton

Fiber yield prediction for vertically integrated operations

Coming Soon

Don't see your crop yet? Talk to us. If the agronomy exists, the model can be built.

Request a Demo
RESULTS

Results in the field

Want the full picture?

Download our detailed case study with implementation timelines, accuracy benchmarks, and operational impact metrics from real LAYERS deployments.

ROI CALCULATOR

Calculate your return

10,000 ha
75 t/ha
USD/ton

With every 1% improvement in your yield estimate:

$3,000,000

in recoverable value

Estimated LAYERS investment

$120,000/yr

Potential ROI

25.0x

These numbers are conservative. In your technical demo we show the real impact with your historical data.

Crop Predictor — frequently asked questions

What buyers ask before bringing LAYERS into their operation.

What is LAYERS Crop Predictor?

LAYERS Crop Predictor is an AI-powered yield forecasting tool that estimates per-hectare production weeks before harvest. It combines satellite imagery, climate variables and machine learning models trained on 13 years of multi-crop agronomic data. It is designed for sugarcane, corn, soy, wheat, cotton and sugarbeet operations.

Which crops does Crop Predictor cover?

Sugarcane (TCH), corn, soy, wheat, cotton and sugarbeet. The same platform supports several crops in parallel so multi-crop operations can run a single forecasting workflow across the portfolio.

How accurate is the yield forecast?

Forecast accuracy reaches approximately 95%, validated in the field across multiple seasons and crops. Accuracy depends on data availability, parcel size and crop maturity at the time of prediction. LAYERS communicates accuracy ranges per crop, never as a flat guarantee.

How much does LAYERS Crop Predictor cost?

Crop Predictor is sold as an annual per-hectare subscription at USD 3.0 per hectare per year. There are no platform fees or setup minimums. Customers who add Crop Optimizer pay USD 4.5 per hectare per year for the combined platform.

Which regions does LAYERS serve?

LAYERS is active in Brazil, Peru, Spain, Guatemala, Mexico, Colombia and the United States, with expansion across LATAM and Europe. The platform is delivered via web and works for operations of any size, from a few hundred hectares to country-level deployments.

Is LAYERS a startup?

No. LAYERS is built by HEMAV Technology S.L. and has 13 years of trajectory in agronomic intelligence. The team has operated in production environments across multiple crops, geographies and customer types since 2012.

Your next harvest doesn't have to be another guess.

Schedule Your Technical Demo Talk to our team