Prediction of firmness and soluble solids content of blueberries using hyperspectral reflectance imaging

By Gabriel A. Leiva-Valenzuela, Renfu Lu, J. Aguilera. 2013

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Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths (2017, background): “Internal bruising caused by mechanical impact could accelerate spoilage, reduce fruit quality, and elevate the risk of pathogen infection, thus negatively affecting consumer purchasing decisions and profit margins for the fruit industry (Hu et al., 2016; Leiva-Valenzuela et al., 2013).”
Assessment of internal quality of blueberries using hyperspectral transmittance and reflectance images with whole spectra or selected wavelengths (2014, unknown): “The differences between SSC and FI results from this study are in general opposite to the results reported previously (Leiva-Valenzuela et al., 2013).”
Hyperspectral Imaging-Based Classification and Wavebands Selection for Internal Defect Detection of Pickling Cucumbers (2013, background): “…Qin et al. 2009), microbiological and freeze damages of mushroom (Gowen et al. 2009), firmness and soluble solids content of apples and blueberries (Leiva-Valenzuela et al. 2013; Peng and Lu 2008), internal defect and pest infestation of pickling cucumbers (Ariana and Lu 2008b; Lu and Ariana…”
Modern Trends in Hyperspectral Image Analysis: A Review (2018, methodology): “[38] employed visual and infrared (VIR) hyperspectral imaging to examine the firmness and solid content of blueberries.”