An example: crop nutrients detections.
Food security and quality require not only a sufficient food supply but also healthy nutrients. To achieve this goal, the success of the above three methods will be expanded to the detection of leaf crops and vegetables, starting from phytonutrients, and extending to micronutrients in the future. The vitamin C, total antioxidant, anthocyanin, and carotenoid, will be determined through chemical analysis, and Partial Least Square Regression (PLSR) on the hyperspectral data. Machine learning will be used to improve the image learning results.
RGB display of hyperspectral imagery
switchgrass
Carotenoid concentration from hyperspectral image
left to right: heavy rusted, light rusted, control
Anthocyanin concentration from hyperspectral image
Last updated: May 25, 2022.