Comparative analysis of models for robust and accurate evaluation of soluble solids content in ‘Pinggu’ peaches by hyperspectral imaging

By Jiangbo Li, Liping Chen. 2017

56 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biochemistry, Food Science

View Paper: https://www.semanticscholar.org/paper/4f5f70531ee4dc92e67789b3253beed68c2b9a36

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1. Dong Liang
2. Shizhuang Weng
3. Lu Xu
4. Chao Xu
5. Dongyan Zhang
6. Xiuliang Jin

Citations in the corpus

• Fast Prediction of Sugar Content in Dangshan Pear (Pyrus spp.) Using Hyperspectral Imagery Data (2018, background): “In recent years, hyperspectral imaging has become a powerful tool for quality control and safety inspection of agricultural and food products (Gowen et al. 2007; Wu and Sun 2013; Yang et al. 2011; Elmasry et al. 2009; Li and Chen 2017).”