Agrocept combines satellite intelligence, machine learning, and agronomic science to help farmers maximize yields, reduce input costs, and grow sustainably.
From space to soil — actionable insights at your fingertips.
Sentinel-2 & Landsat integration for NDVI, thermal, and spectral analysis at field-level resolution.
Machine learning models trained on LUCAS soil data with 90% prediction intervals for confident decisions.
Predict N, P, K, and pH from satellite reflectance — 10m resolution, no lab required.
LST-NDVI trapezoidal method (TVDI) for volumetric water content, plus NASA POWER evapotranspiration.
Track fertilizers, pesticides, and supplies. Auto-schedule applications based on crop needs.
ROI calculations, yield gap decomposition, and cost optimization recommendations.
Real screenshots from Agrocept — built for real farms, real crops, real decisions.
Scan every field's stress index, yield forecast, and NDVI in one card grid. Healthy farms in green, stressed ones flagged amber or red — spot problems before they cost you.
Yield forecast, disease risk, NDVI, stress index, soil pH, clay content, SOC, days to harvest — plus upcoming NPK application dates and targets. Everything to act today.
Switch between NDVI, soil moisture, chlorophyll, LAI, crop stress, and more — each with a live interpretation guide showing what the colors mean and when to act.
Red = stressed or bare. Green = dense healthy canopy. At-a-glance spatial map for whole-field crop health.
LST-NDVI TVDI. Red = driest, blue = wettest. Reveals irrigation boundaries, drainage issues, and compaction lines invisible to the naked eye.
Travel through your field's entire history — watch nitrogen efficiency evolve, track soil moisture across seasons, and replay every agronomic event with full context.
NDVI time-series from 140 satellite images across 5 years. Agrocept auto-detects green-up, peak, and senescence for every season — with quality scores, max NDVI, and growing-day counts to benchmark year-over-year performance.
NUE zone maps at three timestamps reveal where nitrogen was deficient, optimal, or oversaturated — pixel by pixel. Scrub through the season to find exactly when and where to intervene.
The Band 4-6 moisture index on March 19 reveals severe dry stress in the upper field weeks before visible crop symptoms. Irrigation was scheduled in time — preventing an estimated 29% yield loss.
Agrocept turns satellite data into a full agronomic action log — correction costs, yield loss percentages, and ROI calculations per event. The numbers that justify every recommendation.
Agrocept's biophysical simulation engine lets you test any scenario before spending a single input dollar — water, nutrients, climate, and soil all modeled together.
Mark your farm boundaries on an interactive map — or import from GPS.
Our models process satellite imagery, weather, and soil data instantly.
Receive yield predictions, stress maps, nutrient recommendations.
Apply variable-rate prescriptions and track results over time.
"Agrocept helped us reduce fertilizer costs by 28% while maintaining yields. The NDVI maps are incredibly accurate and easy to understand."
"The soil moisture predictions saved our olive grove during a drought. We adjusted irrigation based on Agrocept's recommendations and avoided major losses."
"Being able to analyze 20+ fields in batch mode is a game-changer. The proximity grouping saved us hours of manual work."
Join thousands of farmers using AI to grow smarter, not harder.