Platform
The complete precision agriculture platform
YieldMind connects satellite data, soil sensors, and weather intelligence into one system that helps you make better decisions at every stage of the growing season.
Satellite Crop Monitoring
YieldMind processes multispectral satellite imagery to generate NDVI, NDRE, and custom vegetation index maps for every enrolled field. Imagery refreshes every 3–5 days, giving you a consistent view of crop development, stress patterns, and canopy variability across your operation.
Use Cases
- Corn growers identify nitrogen-deficient zones before tassel to target side-dress applications
- Soybean operations prioritize scouting routes based on satellite-detected stress clusters
- Wheat producers track heading uniformity across fields to time fungicide applications
Yield Prediction Engine
Our models combine historical yield records, in-season growth metrics, soil characteristics, and 14-day weather forecasts to produce field-level yield estimates. Predictions start at planting and sharpen through the season as more data accumulates.
Use Cases
- Grain marketers use mid-season estimates to plan forward contracts and storage logistics
- Crop insurance adjusters reference YieldMind predictions alongside field inspections
- Cooperative managers aggregate member yield forecasts for regional supply planning
Irrigation Optimization
YieldMind integrates soil moisture probe data, evapotranspiration models, and short-range weather forecasts to generate irrigation schedules that match water application to actual crop demand. The system accounts for soil type, root depth, and growth stage.
Use Cases
- Pivot irrigators reduce over-watering in sandy zones while maintaining coverage in heavier soils
- Drip operations schedule run times based on real-time soil moisture rather than fixed calendars
- Water-limited farms allocate scarce resources to the highest-responding fields first
Input Cost Management
Generate variable-rate prescriptions for seed population, nitrogen, phosphorus, potassium, and crop protection products. Prescriptions are built from zone-level soil sampling, canopy data, and yield potential maps so every input dollar targets the acres that will respond.
Use Cases
- Corn operations reduce seed costs by lowering populations in low-yield-potential zones
- Fertilizer programs shift from flat-rate to variable-rate, cutting total N spend by 12–18%
- Ag retailers build prescriptions for grower customers directly inside YieldMind
Weather & Risk Intelligence
YieldMind pulls hyperlocal weather data and overlays it with field-level crop models to flag frost risk, heat stress windows, and disease-favorable conditions. Alerts are delivered to your phone so you can act before conditions hit.
Use Cases
- Growers receive frost alerts with field-specific timing to protect sensitive growth stages
- Agronomists monitor disease risk indices to time fungicide applications precisely
- Operations managers plan fieldwork windows around precipitation and soil trafficability forecasts
Integrations
Connects to your existing stack
YieldMind integrates with the equipment, sensors, and software you already use.
Who It's For
Built for every role in agriculture
For Row Crop Farmers
Monitor corn, soybean, wheat, and cotton fields with satellite imagery and sensor data. Get yield predictions and variable-rate prescriptions tailored to your soil and season.
For Agricultural Cooperatives
Aggregate field data across member operations to plan input procurement, logistics, and regional yield forecasts at scale.
For Agronomists & Consultants
Manage multiple grower accounts from one dashboard. Build prescriptions, track field performance, and deliver data-backed recommendations.
For Irrigation Managers
Schedule pivots and drip systems based on real soil moisture, ET data, and weather forecasts instead of guesswork or fixed timers.
See what your fields are telling you
Join thousands of operations using YieldMind to turn satellite, sensor, and weather data into better decisions — from planting through harvest.
Start Monitoring