APA (7th ed.) Citation

Zhang, C., Wu, W., Zhou, L., Cheng, H., Ye, X., & He, Y. (2020). Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging. Food chemistry, 319, 126536. https://doi.org/10.1016/j.foodchem.2020.126536

Chicago Style (17th ed.) Citation

Zhang, Chu, Wenyan Wu, Lei Zhou, Huan Cheng, Xingqian Ye, and Yong He. "Developing Deep Learning Based Regression Approaches for Determination of Chemical Compositions in Dry Black Goji Berries (Lycium Ruthenicum Murr.) Using Near-infrared Hyperspectral Imaging." Food Chemistry 319 (2020): 126536. https://doi.org/10.1016/j.foodchem.2020.126536.

MLA (9th ed.) Citation

Zhang, Chu, et al. "Developing Deep Learning Based Regression Approaches for Determination of Chemical Compositions in Dry Black Goji Berries (Lycium Ruthenicum Murr.) Using Near-infrared Hyperspectral Imaging." Food Chemistry, vol. 319, 2020, p. 126536, https://doi.org/10.1016/j.foodchem.2020.126536.