Every hectare optimized by LAYERS generates a ripple effect: less water wasted, fewer inputs applied unnecessarily, more food produced per unit of land. We don’t measure sustainability separately, it’s embedded in every prediction we make.
Based on ~1.5 million hectares served across 5 crops: sugarcane, soy, corn, cotton, and sugarbeet.
Field-tested results: In a 3-season study with a major European sugarbeet producer across 4 mills, LAYERS-guided harvest timing delivered 8% validated yield improvement. Independent field samples compared against mill registries.
These figures represent estimated potential impact based on operational efficiency gains across ~1.5 million hectares served in FY2025. Impact is calculated by comparing resource usage with LAYERS precision vs. traditional methods. These are projected savings, not direct measurements. Methodology available upon request.
When you know exactly which parcels are under water stress and which ones are fine, you stop irrigating by calendar and start irrigating by need. LAYERS water stress maps (LWS) and foliar moisture layers (NDMI) enable targeted irrigation decisions that reduce pumping costs and preserve water resources.
Every 10% improvement in irrigation targeting across a 10,000 ha operation preserves an estimated 2.1 million cubic meters of water annually.
Uniform fertilizer and chemical application wastes product on areas that don’t need it and underserves areas that do. LAYERS variable-rate prescription maps based on NDRE, soil texture, and biomass variability enable targeted application, same budget, less waste, better outcomes.
A 5–15% reduction in fertilizer and chemical application translates directly into fewer kilograms of active ingredients entering the soil and watershed.
When yield estimates are accurate, harvest logistics work. When harvest logistics work, less product is lost to timing errors, bottlenecks, and misallocation. LAYERS yield predictions reduce the gap between estimated and actual production, which means less food lost between the field and the processing plant.
Every 1% improvement in yield estimation accuracy across a 10,000 ha operation represents thousands of tons of production that is planned for, harvested on time, and processed, instead of lost.
More accurate yield predictions lead to better harvest planning, reduced post-harvest losses, and more food reaching processing and markets.
Satellite-based water stress detection enables targeted irrigation, reducing water consumption in agricultural operations that account for 70% of global freshwater use.
Variable-rate application maps reduce unnecessary fertilizer and chemical use, lowering the environmental footprint per ton of food produced.
Optimized input use and improved land productivity reduce the carbon intensity of agricultural operations, fewer passes, less fuel, less waste.
Better crop monitoring reduces the pressure to expand into new land. When existing hectares produce more reliably, the incentive to clear additional land decreases.
More accurate yield predictions lead to better harvest planning, reduced post-harvest losses, and more food reaching processing and markets.
Satellite-based water stress detection enables targeted irrigation, reducing water consumption in agricultural operations that account for 70% of global freshwater use.
Variable-rate application maps reduce unnecessary fertilizer and chemical use, lowering the environmental footprint per ton of food produced.
Optimized input use and improved land productivity reduce the carbon intensity of agricultural operations, fewer passes, less fuel, less waste.
Better crop monitoring reduces the pressure to expand into new land. When existing hectares produce more reliably, the incentive to clear additional land decreases.
We do not claim to solve these challenges alone. We build the tools that help agricultural operations measure, optimize, and report their contribution to these goals.
Every operation using LAYERS generates a data trail: input application records, irrigation decisions, yield accuracy metrics, and land use efficiency. These operational data points can feed directly into your ESG reporting frameworks, sustainability certifications, and stakeholder communications.
Ministries of agriculture, development banks, and international organizations need current, comparable data to shape policy, allocate resources, and measure program impact. LAYERS Regional Intel delivers production forecasts at national and regional scale, the same AI technology used by individual operations, applied to entire agricultural zones.
If your mandate includes food security, agricultural development, or climate adaptation, the data infrastructure already exists.
Explore Regional IntelLAYERS REGIONAL INTEL provides regional-scale yield forecasting validated against satellite and climate data, so you can assess agricultural risk with higher confidence. Reduce mispricing. Identify portfolio exposure early. Make credit and insurance decisions on data, not declarations.
Precision Agriculture. Measured Impact.