Our autonomous flight software captures five spectral bands per frame, processes them through trained ML models in real time, and delivers actionable crop health intelligence before your drone lands.
Each camera module captures five distinct wavelengths simultaneously — synchronized to GPS PPS for centimeter-accurate geotagging of every pixel.
Raw spectral data is transformed into standardized vegetation indices — each tuned to reveal different aspects of crop health.
The industry standard for overall plant health and vigor. Values range from -1 to +1, with healthy vegetation typically between 0.6 and 0.9. Detects stress weeks before it's visible to the eye.
More sensitive to chlorophyll concentration than standard NDVI. Excels at detecting nitrogen deficiency and estimating leaf area index in dense canopies where NDVI saturates.
The red edge band is the most sensitive indicator of early chlorophyll changes. NDRE catches nutrient deficiency, disease onset, and water stress earlier than any other index.
Simple but effective ratio for distinguishing vegetation from bare soil. Useful for stand count estimation, emergence uniformity assessment, and identifying gaps in crop coverage.
Corrects for soil background reflectance in sparse canopies. Essential for early-season scans when crop cover is thin and soil is still exposed between rows.
Uses the blue band for atmospheric correction and resists saturation in high-biomass fields. Preferred over NDVI for dense mid-season canopies where standard indices plateau.
Our detection models are trained on multispectral data collected from actual Missouri agricultural operations — real crops, real conditions, real problems. The system learns what healthy looks like for your region and flags everything that doesn't match.
Flags reflectance patterns that deviate from the healthy baseline — catches problems before visible symptoms appear.
Automatically segments fields into management zones based on spectral signatures — healthy, stressed, critical, bare soil.
Compares scans over time to detect rate-of-change in crop health — distinguishes chronic decline from acute events.
GPU-accelerated processing at 30 FPS across four concurrent camera streams. Results available before the drone returns home.
4× multispectral streams → NVDEC hardware decode → GPU memory
DLS irradiance normalization → band alignment → reflectance calibration
NDVI, GNDVI, NDRE, SAVI, EVI — computed per-pixel on GPU
Trained detection model → anomaly scoring → zone segmentation
GPS-tagged health maps → prescription maps → field reports
Trailer-mounted GPU servers process all four camera streams live during flight — no waiting for post-flight batch jobs.
Each detection type is trained on region-specific data and continuously improved with every field scan.
Nitrogen, phosphorus, and potassium stress patterns identified through chlorophyll and red edge analysis.
Early wilting and drought response detected through canopy temperature proxies and NIR reflectance shifts.
Fungal infections, bacterial spots, and viral symptoms flagged before visible lesions appear on leaf tissue.
Insect feeding patterns and defoliation identified through canopy density changes and spectral anomalies.
Missing plants, failed emergence, and poor stand uniformity mapped for replanting decisions.
Spectral signature differences between crop and weed species enable targeted herbicide application maps.
Flattened or leaning crop areas identified through canopy height and reflectance angle changes.
Biomass indices correlated with historical yield data to produce pre-harvest field-level yield predictions.
A trailer-mounted GPU server processes every frame in real time — no cloud uploads, no internet dependency, no waiting. Your data stays on your hardware.
All inference runs on a field-deployable 2U server with a dedicated GPU. Gigabit Ethernet transfers data directly from the drone's FPGA — no wireless bottleneck, no cloud latency, no third-party data access.
Your multispectral data never leaves your equipment. Reports generate locally and stay under your control.
From spectral capture to ML-powered health maps — CloudBorn Aero gives you the intelligence to act before problems become losses.