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A deep learning approach to improving spectral analysis of fruit quality under ...
Yang, Jie; Luo, Xuan; Zhang, Xiaolei; Passos, Dário; Xie, Lijuan; Rao, Xiuqin; Xu, Huirong; Ting, K.C.; Lin, Tao; Ying, YibinModel updating for developed calibrations is critical for robust spectral analysis in fruit quality control. Existing methods have limitations that usually need sufficient samples for model recalibration and are mainly designed for conventional linear models. This study proposes a model fine-tuning approach to update nonlinear deep learning models using limited sample sizes for fruit detection under interseason...
Date: 2022
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Origin: Sapientia - Universidade do Algarve