Fatchurrahman, D.; Marini, F.; Nosrati, M.; Peruzzi, A.; Castellano, S.; Amodio, M.L.; Colelli, G.
The Potential Application of Visible-Near Infrared (Vis-NIR) Hyperspectral Imaging for Classifying Typical Defective Goji Berry (Lycium barbarum L.). Foods 2024, 13, 3469.
https://doi.org/10.3390/foods13213469
AMA Style
Fatchurrahman D, Marini F, Nosrati M, Peruzzi A, Castellano S, Amodio ML, Colelli G.
The Potential Application of Visible-Near Infrared (Vis-NIR) Hyperspectral Imaging for Classifying Typical Defective Goji Berry (Lycium barbarum L.). Foods. 2024; 13(21):3469.
https://doi.org/10.3390/foods13213469
Chicago/Turabian Style
Fatchurrahman, Danial, Federico Marini, Mojtaba Nosrati, Andrea Peruzzi, Sergio Castellano, Maria Luisa Amodio, and Giancarlo Colelli.
2024. "The Potential Application of Visible-Near Infrared (Vis-NIR) Hyperspectral Imaging for Classifying Typical Defective Goji Berry (Lycium barbarum L.)" Foods 13, no. 21: 3469.
https://doi.org/10.3390/foods13213469
APA Style
Fatchurrahman, D., Marini, F., Nosrati, M., Peruzzi, A., Castellano, S., Amodio, M. L., & Colelli, G.
(2024). The Potential Application of Visible-Near Infrared (Vis-NIR) Hyperspectral Imaging for Classifying Typical Defective Goji Berry (Lycium barbarum L.). Foods, 13(21), 3469.
https://doi.org/10.3390/foods13213469
