H
Herman Ramon
Researcher at Katholieke Universiteit Leuven
Publications - 360
Citations - 11147
Herman Ramon is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Discrete element method & Suspension (vehicle). The author has an hindex of 55, co-authored 356 publications receiving 9665 citations. Previous affiliations of Herman Ramon include The Catholic University of America.
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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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Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy
TL;DR: In this paper, the performance of three calibration methods, namely, principal component regression (PCR), partial least squares regression (PLSR) and back propagation neural network (BPNN) analyses for the accuracy of measurement of selected soil properties, namely organic carbon (OC) and extractable forms of potassium (K), sodium (Na), magnesium (Mg) and phosphorous (P).
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On-line measurement of some selected soil properties using a VIS–NIR sensor
TL;DR: In this article, a mobile, fibre-type, visible and near infrared (NIR) spectrophotometer (Zeiss Corona 45 visnir fibre, Germany), with a measurement range of 306.5-1710.9nm was used to measure soil spectra in reflectance mode.
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Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks
TL;DR: In this paper, the difference in spectral reflectance between healthy and diseased wheat plants was investigated at an early stage in the development of the “yellow rust” disease, and a normalisation method based on reflectance and light intensity adjustments was developed.
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Early disease detection in wheat fields using spectral reflectance.
TL;DR: In this article, the difference in spectral reflectance between healthy and diseased wheat plants infected with Puccinia striiformis (yellow rust) was investigated using a spectrograph mounted at spray boom height.