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Wouter Saeys
Researcher at Katholieke Universiteit Leuven
Publications - 330
Citations - 10851
Wouter Saeys is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Hyperspectral imaging & Combine harvester. The author has an hindex of 48, co-authored 303 publications receiving 8609 citations. Previous affiliations of Wouter Saeys include The Catholic University of America & Catholic University of Leuven.
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Journal ArticleDOI
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
Bart Nicolai,Katrien Beullens,Els Bobelyn,Ann Peirs,Wouter Saeys,Karen I. Theron,Jeroen Lammertyn +6 more
TL;DR: An overview of NIR spectroscopy for measuring quality attributes of horticultural produce is given in this article, where the problem of calibration transfer from one spectrophotometer to another is introduced as well as techniques for calibration transfer.
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Potential for Onsite and Online Analysis of Pig Manure using Visible and Near Infrared Reflectance Spectroscopy
TL;DR: In this paper, the feasibility of a mobile spectroscopy instrument (Zeiss Corona 45 visnir fibre remote) in the VIS and near infrared (NIR) wavebands for onsite and online analysis of pig manure was investigated.
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NIR spectroscopy applications for internal and external quality analysis of citrus fruit - A review
Lembe Samukelo Magwaza,Umezuruike Linus Opara,Helene Nieuwoudt,Paul J.R. Cronje,Wouter Saeys,Bart Nicolai +5 more
TL;DR: Research progress on NIRS applications in internal and external quality measurement of citrus fruit, including the selection of NIR characteristics for spectra capture, analysis and interpretation are reviewed.
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Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance
TL;DR: In this article, the effect of cultivar, season, shelf-life and origin on the accuracy of near infrared (NIR) calibration models for the soluble solids content (SSC) and firmness of apple was studied based on a large spectral data set based on approximately 6000 apple fruit from different cultivars, origins, shelf life exposure time and seasons.
Postharvest quality of apple predicted by NIR-spectroscopy: study of the effect of biological variability on spectra and model performance. Postharvest Biol Technol
TL;DR: In this article, the effect of cultivar, season, shelf-life and origin on the accuracy of near infrared (NIR) calibration models for the soluble solids content (SSC) and firmness of apple was studied based on a large spectral data set.