Jiang, Z.; Lv, A.; Zhong, L.; Yang, J.; Xu, X.; Li, Y.; Liu, Y.; Fan, Q.; Shao, Q.; Zhang, A.
Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques. Foods 2023, 12, 2904.
https://doi.org/10.3390/foods12152904
AMA Style
Jiang Z, Lv A, Zhong L, Yang J, Xu X, Li Y, Liu Y, Fan Q, Shao Q, Zhang A.
Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques. Foods. 2023; 12(15):2904.
https://doi.org/10.3390/foods12152904
Chicago/Turabian Style
Jiang, Zhiwei, Aimin Lv, Lingjiao Zhong, Jingjing Yang, Xiaowei Xu, Yuchan Li, Yuchen Liu, Qiuju Fan, Qingsong Shao, and Ailian Zhang.
2023. "Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques" Foods 12, no. 15: 2904.
https://doi.org/10.3390/foods12152904
APA Style
Jiang, Z., Lv, A., Zhong, L., Yang, J., Xu, X., Li, Y., Liu, Y., Fan, Q., Shao, Q., & Zhang, A.
(2023). Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques. Foods, 12(15), 2904.
https://doi.org/10.3390/foods12152904
