Mishra, P., Sadeh, R., Bino, E., Polder, G., Boer, M. P., Rutledge, D. N., & Herrmann, I. (2021). Complementary chemometrics and deep learning for semantic segmentation of tall and wide visible and near-infrared spectral images of plants. Computers & Electronics in Agriculture, 186, N.PAG. https://doi.org/10.1016/j.compag.2021.106226
Chicago Style (17th ed.) CitationMishra, Puneet, Roy Sadeh, Ehud Bino, Gerrit Polder, Martin P. Boer, Douglas N. Rutledge, and Ittai Herrmann. "Complementary Chemometrics and Deep Learning for Semantic Segmentation of Tall and Wide Visible and Near-infrared Spectral Images of Plants." Computers & Electronics in Agriculture 186 (2021): N.PAG. https://doi.org/10.1016/j.compag.2021.106226.
MLA (9th ed.) CitationMishra, Puneet, et al. "Complementary Chemometrics and Deep Learning for Semantic Segmentation of Tall and Wide Visible and Near-infrared Spectral Images of Plants." Computers & Electronics in Agriculture, vol. 186, 2021, p. N.PAG, https://doi.org/10.1016/j.compag.2021.106226.