Application of hyperspectral imaging for spatial prediction of soluble solid content in sweet potato
Yuanyuan Shao, Yi Liu, Guantao Xuan, Yongxian Wang, Zongmei Gao, Zhichao Hu, Xiang Han, Chong Gao, Kaili Wang
Abstract
of 2.09 for 'Red Banana' sweet potato. Spatial distribution maps of SSC were obtained in a pixel-wise manner using SPA-SVR and CARS-MLR models for quantifying the SSC level in a simple way. The overall results illustrated that Vis-NIR hyperspectral imaging was a powerful tool for spatial prediction of SSC in sweet potatoes.
Topics & Concepts
Hyperspectral imagingContent (measure theory)Sweet spotChemistryPattern recognition (psychology)Computer scienceArtificial intelligenceMathematicsSimulationMathematical analysisSpeed skatingSpectroscopy and Chemometric AnalysesWater Quality Monitoring and AnalysisSpectroscopy Techniques in Biomedical and Chemical Research