Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging

By Bart M. Nicolaï, Elmi Lötze, A. Peirs, N. Scheerlinck, K. Theron. 2006

174 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Animal Science and Zoology, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/514d9c0feb7eeb4ad5568e5e3512355f62b9f959

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In Analytical Chemistry

In Animal Science and Zoology

In Biomedical Engineering

Citations in the corpus

Hyperspectral and multispectral imaging for evaluating food safety and quality (2013, methodology): “The InGaAs CCD cameras have been used in spectral imaging systems that work in the near-infrared wavelength ranges (Lu, 2003; Nicolaï et al., 2006).”
Supervised Multivariate Analysis of Hyper-spectral NIR Images to Evaluate the Starch Index of Apples (2009, methodology): “Hyper-spectral imaging was used for bruise detection on ‘Jonagold’ (Juan and Baerdemaeker 2005) and ‘Golden Delicious’ apples (Xing et al. 2005), to determine surface defects and contaminations (Mehl et al. 2004 )a nd for nondestructive measurement of bitter pit in apple fruit ( Nicolai et al. 2006 ”
Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes (2012, background): “, 2005), and soluble solid content, bitter pit, bruise and surface defects and contaminations in apple fruit (Peri et al., 2005; Nicolaï et al., 2006; Xing et al., 2005; Mehl et al., 2004).”
NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review (2012, background): “Basically, the development of the multispectral and hyperspectral imaging provides the possibility to capture images not only in the visible range but also extend to capture multiple images at different wavelengths in the vis–NIR regions (Mehl et al. 2004; Nicolaï et al. 2006; Qin et al. 2008).”
Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, methodology): “Using a PLSDA calibration model, Nicolaï et al. (2006) discriminated between pixels of sound apple skin and bitter pit lesions.”
Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review (2012, background): “However, the system could not discriminate between bitter pit and corky tissue (Nicolaı̈ et al., 2006).”
Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review (2012, background): “Apart from the single defect detecting studies introduced above as well as additional bitter pit lesion determination on apples (Nicolaı̈ et al., 2006), some studies dealt with classification of comprehensive defects.”