Five-band multispectral capture synchronized to centimeter-level GPS, processed through machine learning models trained to detect crop stress, disease, and nutrient deficiencies before they're visible to the human eye.
A complete pipeline from synchronized multispectral capture in the air to actionable crop intelligence on the ground.
15 sensors across 3 camera modules fire simultaneously via FPGA-synced hardware trigger, locked to GPS PPS for centimeter-level geotagging.
Gigabit Ethernet transfers mission data to your ground station at full speed. Tens of gigabytes per flight — no waiting on wireless bottlenecks.
Server-side software stitches orthomosaics, normalizes reflectance with DLS data, and computes vegetation indices across every pixel of your field.
ML models trained on labeled agricultural datasets identify stress patterns, disease signatures, and nutrient anomalies — flagging problem zones automatically.
Five spectral bands reveal crop health information invisible in standard photography — from chlorophyll concentration to water stress.
The gold standard for vegetation health assessment. Healthy, actively photosynthesizing plants strongly reflect near-infrared light while absorbing red. NDVI maps this ratio across your entire field, revealing problem areas weeks before visual symptoms appear.
More sensitive to chlorophyll concentration than standard NDVI. Detects subtle changes in photosynthetic capacity and nitrogen content across growth stages.
The red edge band at 735nm is uniquely sensitive to chlorophyll changes in dense canopies where NDVI saturates. Critical for mid-to-late season monitoring.
Corrects for soil reflectance in early growth stages when canopy coverage is sparse. Prevents false stress readings caused by exposed soil between rows.
Uses the blue band for atmospheric correction and reduces saturation in high-biomass areas. Provides more linear response across the full range of canopy density.
Deep learning models trained on multispectral agricultural datasets to automatically identify and classify crop anomalies.
Convolutional neural networks detect spectral signatures of common diseases — rust, blight, leaf spot, and more — before symptoms spread beyond the initial infection zone.
Models correlate multi-index patterns with nitrogen, phosphorus, potassium, and micronutrient deficiencies. Generates variable-rate prescription maps for targeted fertilization.
Thermal and NIR reflectance patterns reveal water stress zones across your field. Identifies irrigation system failures, drainage issues, and drought-vulnerable areas.
Spectral differences between crop and weed species enable automated weed mapping. Generates targeted spray zones for site-specific herbicide application.
Multi-temporal analysis tracks vegetation development across the growing season. Models correlate index trajectories with historical yield data for pre-harvest estimates.
Compares flights over time to detect sudden reflectivity changes indicating pest damage, weather injury, or chemical burn — alerts you to emerging problems in real time.
GPU-accelerated inference on your ground station — no cloud dependency, no data leaving your property.
Process four simultaneous multispectral video feeds for real-time change detection and live NDVI overlay during flight operations.
Gigabit Ethernet from the CloudBorn FC enables rapid post-flight transfer. Tens of gigabytes per mission, offloaded in minutes — not hours.
ML models run on your trailer-mounted server with NVIDIA GPUs. No internet required, no subscription fees, no third-party data access. Your data stays yours.
Downwelling light sensors on each camera module measure ambient illumination per-band. Software normalizes reflectance data for consistent results across changing light conditions.
From scouting to spraying — intelligence that drives action.
Replace full-field walking with targeted scouting. The system flags anomaly zones — you verify only the areas that need attention, saving hours per field.
NDVI Change DetectionGenerate prescription maps directly from ML analysis. Feed VRA-compatible files into your sprayer or spreader for site-specific fertilizer, fungicide, or herbicide application.
Nutrient Map Rx ExportIdentify water stress patterns and irrigation system failures before they impact yield. Map drainage issues and optimize pivot or drip system coverage.
Water Stress ThermalBuild a temporal profile of every acre. Track crop development, compare zones across flights, and generate end-of-season performance reports for data-driven planning.
Temporal Yield ModelCloudBorn Vision is designed to run on the CloudBorn FC flight controller hardware — the same board handles flight control, camera triggering, and spray actuation. No aftermarket payload computers, no integration headaches.
CloudBorn Vision turns aerial data into crop intelligence. Get in touch to learn how multispectral analysis and ML detection can transform your operation.