Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance

By E. Bobelyn, A. Serban, M. Nicu, Jeroen Lammertyn, B. Nicolai, Wouter Saeys. 2010

267 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biochemistry, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/755b92af9c1729ba690177515c4bbb98b1490b00

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Puneet Mishra
2. E. Woltering
3. Wouter Saeys
4. Umezuruike Linus Opara

In Biochemistry

1. Puneet Mishra
2. Umezuruike Linus Opara

In Industrial and Manufacturing Engineering

1. Puneet Mishra

Citations in the corpus

• Improved prediction of ‘Kent’ mango firmness during ripening by near-infrared spectroscopy supported by interval partial least square regression (2020, background): “Since firmness cannot be quantified as a chemical compound, the NIRS signal likely has some secondary correlation with the firmness [21].”
• NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review (2012, background): “3) (Lu et al. 2006, Sun et al. 2009, Liu et al. 2010a, b, Bobelyn et al. 2010; Camps and Christen 2009).”
• Nondestructive Detection of Postharvest Quality of Cherry Tomatoes Using a Portable NIR Spectrometer and Chemometric Algorithms (2019, background): “2017), such as apple (Bobelyn et al. 2010), pear (Wang et al.”