Detection of common defects on oranges using hyperspectral reflectance imaging

By Jiangbo Li, Xiuqin Rao, Yibin Ying. 2011

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Identification of Bruise and Fungi Contamination in Strawberries Using Hyperspectral Imaging Technology and Multivariate Analysis (2018, background): “For example, it could detect the defects on apples and oranges (Mehl et al. 2004; Li et al. 2011), the internal injuries in peaches and, chilling cucumbers (Pan et al. 2017; Cen et al. 2016), the ripeness and quality of strawberry (Elmasry et al. 2007; Zhang et al. 2016), and different levels of…”
Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, methodology): “Later, Liu et al. (2005) used the same hyperspectral imaging system for detecting chilling injury on cucumbers.”
Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety (2014, methodology): “CCD Oranges 400–1,100 Qualitative PCA PCA, BR, TH [48]”
Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review (2014, background): “The peaks and valleys of the loading curves indicate the dominant wavelengths (Li et al., 2011), so the loading curves could be considered to be the basis to select the efficient wavelengths (Xing et al.”