Vis/NIR model development and robustness in prediction of potato dry matter content with influence of cultivar and season

• Published in: Postharvest biology and technology Vol. 197; p. 112202
• Main Authors: Wang, Shuai, Yan, Jinshan, Tian, Shijie, Tian, Hao, Xu, Huirong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2023
• Subjects: Dry matter content; Mahalanobis distance; Model updating; Potato; Variable selection; Potato; Model updating; Mahalanobis distance; Dry matter content; Variable selection

Visible/Near-infrared (Vis/NIR) spectroscopy is widely used in the detection of dry matter content (DMC) of potatoes. However, biological variability (e.g., cultivar and season) will affect the potato DMC and spectral features, and will further cause the DMC prediction model ineffective. This study...