Improving apple fruit firmness predictions by effective correction of multispectral scattering images

By Yankun Peng, Renfu Lu. 2006

100 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Industrial and Manufacturing Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/2c9aa4785798ba5927121d6ac1d6bfc3c28b9bc1

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In Analytical Chemistry

1. Da‐Wen Sun

Citations in the corpus

• Supervised Multivariate Analysis of Hyper-spectral NIR Images to Evaluate the Starch Index of Apples (2009, methodology): “Researchers have been developed optical techniques to non-destructively determine maturity level and quality of apples within the visible wavelength range of the fruit reflectance and transmittance spectra and backscattering imaging (Zude 2003; Herold et al. 2005; Peng and Lu 2006).”