10.5281/zenodo.1313615
https://zenodo.org/records/1313615
oai:zenodo.org:1313615
Devrim Unay
Devrim Unay
0000-0003-3478-7318
İzmir University of Economics
Marie-France Destain
Marie-France Destain
Gembloux Agro-Bio Tech
Bernard Gosselin
Bernard Gosselin
Faculte Polytechnique de l'UMons
Olivier Kleynen
Olivier Kleynen
Gembloux Agro-Bio Tech
Vincent Leemans
Vincent Leemans
Gembloux Agro-Bio Tech
The CAPA Apple Quality Grading Multi-Spectral Image Database
Zenodo
2018
apple
multispectral images
quality inspection
machine vision
computer vision
agriculture
2018-07-17
eng
10.5281/zenodo.1313614
Creative Commons Attribution 4.0 International
The CAPA Apple Quality Grading Multi-Spectral Image Database consists of multispectral (450nm, 500nm, 750nm, and 800nm) images of health and defected apples of bi-color, manual segmentations of defected regions, and expert evaluations of the apples into 4 quality categories. The defect types consist of bruise, rot, flesh damage, frost damage, russet, etc. The database can be used for academic or research purposes with the aim of computer vision based apple quality inspection.
The CAPA Apple Quality Grading Multi-Spectral Image Database is a propriety of ULG (Gembloux Agro-Bio Tech) - Belgium, and cannot be used without the consent of the ULG (Gembloux Agro-Bio Tech), Belgium.
For consent, contact
Devrim Unay, İzmir University of Economics, Turkey: unaydevrim@gmail.com
OR
Marie-France Destain, Gembloux Agro-Bio Tech, Belgium: mfdestain@ulg.ac.be
In disseminating results using this database,
1. the author should indicate in the manuscript that it was acquired by ULG (Gembloux Agro-Bio Tech), Belgium.
2. cite the following article Kleynen, O., Leemans, V., & Destain, M.-F. (2005). Development of a multi-spectral vision system for the detection of defects on apples. Journal of Food Engineering, 69(1), 41-49.
Relevant publications:
Kleynen et al., 2003 O. Kleynen, V. Leemans and M.F. Destain, Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting. Postharv. Biol. Technol., 30 (2003), pp. 221–232.
Leemans and Destain, 2004 V. Leemans and M.F. Destain, A real-time grading method of apples based on features extracted from defects. J. Food Eng., 61 (2004), pp. 83–89.
Leemans et al., 2002 V. Leemans, H. Magein and M.F. Destain, On-line fruit grading according to their external quality using machine vision. Biosyst. Eng., 83 (2002), pp. 397–404.
Unay and Gosselin, 2006 D. Unay and B. Gosselin, Automatic defect detection of ‘Jonagold’ apples on multi-spectral images: A comparative study. Postharv. Biol. Technol., 42 (2006), pp. 271–279.
Unay and Gosselin, 2007 D. Unay and B. Gosselin, Stem and calyx recognition on ‘Jonagold’ apples by pattern recognition. J. Food Eng., 78 (2007), pp. 597–605.
Unay et al., 2011 Unay, D., Gosselin, B., Kleynen, O, Leemans, V., Destain, M.-F., Debeir, O, “Automatic Grading of Bi-Colored Apples by Multispectral Machine Vision”, Computers and Electronics in Agriculture, 75(1), 204-212, 2011.