





While other AI implementations are modeled on standard RGB imagery, our technology represents a breakthrough in agricultural intelligence. By leveraging multispectral imaging across NIR, Red Edge, Green, and Blue bands, we've created an AI that sees beyond the visible spectrum.

Our AI excels at detecting rocks in fields with remarkable precision. Traditional RGB-based systems struggle to differentiate between soil, vegetation, and rocks. Our multispectral approach analyzes reflectance patterns across multiple wavelengths, enabling accurate identification regardless of environmental factors.

One of the most challenging problems in agricultural imaging is distinguishing between different types of vegetation. Our multispectral AI leverages Near-Infrared and Red Edge bands to detect subtle differences in plant physiology, enabling precise weed detection and early disease identification. Getting better daily.