HIGHLIGHTS
- who: Qinlin Xiao and collaborators from the Nanjing Agricultural University, China have published the research: Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves, in the Journal: (JOURNAL)
- what: In this study, two self-developed CNN architectures were applied for building classification and regression models, and their structures are shown in Figures 3A, B, respectively. Considering the number of variables used in modeling, the results of CNNC models constructed on the optimal wavelengths selected by RF were reasonably acceptable, which realized comparable performance . . .
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