DocumentCode
3639149
Title
Classification of aflatoxin contaminated chili pepper using hyperspectral imaging and artificial neural networks
Author
Musa Ataş;Alptekin Temizel;Yasemin Yardımcı
Author_Institution
Enformatik Enstitü
fYear
2010
Firstpage
9
Lastpage
12
Abstract
Many foods (such as hazelnut, pistachio nut, almond, corn, wheat, dried fig, and chili pepper) may include carcinogenic aflatoxins that threatens human health. Chili pepper is also prone to aflatoxin contamination during harvesting, production and storage periods. Although Turkey is the third largest chili pepper producer in the world, it has less than three percent international market share due to the high level of aflatoxin contamination in the chili pepper. Various chemical methods are used for detection of aflatoxin. Chemical methods used for detection of aflatoxin contamination give accurate results, but they are slow, expensive and destructive. In this study, intensity histograms of hyper spectral images of chili peppers are extracted under halogen illumination source and aflatoxin detection is made by artificial neural networks.
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
ISSN
2165-0608
Print_ISBN
978-1-4244-9672-3
Type
conf
DOI
10.1109/SIU.2010.5650935
Filename
5650935
Link To Document