The smartphone hyperspectral imager brings advanced remote-sensing capability directly into the hands of inspectors and growers. By capturing hundreds of narrow spectral bands beyond what the human eye can see, hyperspectral imaging reveals subtle biochemical changes inside citrus fruit and leaves — even before external CBS or HLB symptoms become visible. These spectral fingerprints allow the system to distinguish disease-related stress from harmless defects such as scars or sunburn, overcoming limitations of standard RGB imaging alone.
This compact device attaches to a smartphone, transforming it into a powerful on-site diagnostic tool. It collects both high-resolution RGB photos and hyperspectral reflectance data, which are processed by integrated deep-learning models to classify symptoms and estimate their severity in real time. When network coverage is available, users can upload images to further refine detection performance through continuous model retraining. The technology is designed to be user-friendly and field-ready, enabling inspectors at border control posts and growers in production regions to detect CBS and HLB faster and more accurately — without laboratory delays.
