Liu, Z.; Zhang, T.; Ding, H.; Wang, Z.; Wang, H.; Zhou, L.; Dai, Y.; Xu, Y.
Quantitative Analysis of Adulteration in Anoectochilus roxburghii Powder Using Hyperspectral Imaging and Multi-Channel Convolutional Neural Network. Agronomy 2025, 15, 1894.
https://doi.org/10.3390/agronomy15081894
AMA Style
Liu Z, Zhang T, Ding H, Wang Z, Wang H, Zhou L, Dai Y, Xu Y.
Quantitative Analysis of Adulteration in Anoectochilus roxburghii Powder Using Hyperspectral Imaging and Multi-Channel Convolutional Neural Network. Agronomy. 2025; 15(8):1894.
https://doi.org/10.3390/agronomy15081894
Chicago/Turabian Style
Liu, Ziyuan, Tingsong Zhang, Haoyuan Ding, Zhangting Wang, Hongzhen Wang, Lu Zhou, Yujia Dai, and Yiqing Xu.
2025. "Quantitative Analysis of Adulteration in Anoectochilus roxburghii Powder Using Hyperspectral Imaging and Multi-Channel Convolutional Neural Network" Agronomy 15, no. 8: 1894.
https://doi.org/10.3390/agronomy15081894
APA Style
Liu, Z., Zhang, T., Ding, H., Wang, Z., Wang, H., Zhou, L., Dai, Y., & Xu, Y.
(2025). Quantitative Analysis of Adulteration in Anoectochilus roxburghii Powder Using Hyperspectral Imaging and Multi-Channel Convolutional Neural Network. Agronomy, 15(8), 1894.
https://doi.org/10.3390/agronomy15081894
