Dai, C.; Sun, J.; Huang, X.; Zhang, X.; Tian, X.; Wang, W.; Sun, J.; Luan, Y.
Application of Hyperspectral Imaging as a Nondestructive Technology for Identifying Tomato Maturity and Quantitatively Predicting Lycopene Content. Foods 2023, 12, 2957.
https://doi.org/10.3390/foods12152957
AMA Style
Dai C, Sun J, Huang X, Zhang X, Tian X, Wang W, Sun J, Luan Y.
Application of Hyperspectral Imaging as a Nondestructive Technology for Identifying Tomato Maturity and Quantitatively Predicting Lycopene Content. Foods. 2023; 12(15):2957.
https://doi.org/10.3390/foods12152957
Chicago/Turabian Style
Dai, Chunxia, Jun Sun, Xingyi Huang, Xiaorui Zhang, Xiaoyu Tian, Wei Wang, Jingtao Sun, and Yu Luan.
2023. "Application of Hyperspectral Imaging as a Nondestructive Technology for Identifying Tomato Maturity and Quantitatively Predicting Lycopene Content" Foods 12, no. 15: 2957.
https://doi.org/10.3390/foods12152957
APA Style
Dai, C., Sun, J., Huang, X., Zhang, X., Tian, X., Wang, W., Sun, J., & Luan, Y.
(2023). Application of Hyperspectral Imaging as a Nondestructive Technology for Identifying Tomato Maturity and Quantitatively Predicting Lycopene Content. Foods, 12(15), 2957.
https://doi.org/10.3390/foods12152957
