Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting
By Olivier Kleynen, V. Leemans, M. Destain. 2003
111 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Plant Science
View Paper: https://www.semanticscholar.org/paper/731012e163833b65d3c2a252b9c298bb058b3a8e
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
- L. Lleó
- A. Herrero‐Langreo
- Jean-Michel Roger
- J. Wozniak
- Wenqian Huang
- Changying Li
- Pilar Barreiro
- Shuxiang Fan
In Plant Science
- L. Lleó
- A. Herrero‐Langreo
- Jean-Michel Roger
- Wenqian Huang
- Changying Li
- Pilar Barreiro
- Shuxiang Fan
- Liping Chen
Citations in the corpus
- Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance (2011, background): “1989; Yoder and Pettigrew-Crosby, 1995; Curran et al., 1997, 2001; Blackburn, 1999; Sims and Gamon, 2002; Coops et al., 2003), and their ability to discriminate different species (Kleynen et al., 2003; Huang and Zhang, 2009).”
- Development of a multi-spectral vision system for the detection of defects on apples (2005, background): “Since Kleynen et al. (2003) showed that the 500nm spectral component did not give any significant information for the discrimination of the defects and sound tissue (it was only interesting to quantify the ratio between the blush and ground colour), this component was not taken into account for the…”
- Mass modeling of kinnow mandarin based on some physical attributes (2019, background): “In the past, various effective and accurate grading systems are developed based on recent advancement in automated sorting strategies; thus, eliminating human interference (Kleynen, Leemans, & Destain, 2003).”
- Comparison of multispectral indexes extracted from hyperspectral images for the assessment of fruit ripening (2011, background): “, 2002; Lu and Peng, 2006; Qjn and Lu, 2008), providing better sensitivity than RGB imaging (Aleixos et al., 2002; Kleynen et al., 2003).”
- Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths (2017, background): “Multispectral vision systems have been developed to sort apples according to the presence of defects (Kleynen et al., 2005) and bruise (Huang et al., 2015), and to detect citrus canker (Qin et al., 2012) based on the selected wavelengths from HSI systems (Kleynen et al., 2003; Qin et al., 2009).”
- Detection of early bruises in apples using hyperspectral data and thermal imaging (2012, background): “‘Jonagold’ or ‘Braeburn’, and for early bruises (Upchurch et al., 1994; Wen and Tao, 2000; Kleynen et al., 2003; Xing et al., 2005, 2007).”