Classification of aflatoxin contaminated chili pepper using hyperspectral imaging and artificial neural networks

Temizel, Alptekin
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.


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Edible insects have become one of the most attracted and attention-grabbing alternative food sources in recent years due to the constituents that include proteins, oils, carbohydrates, minerals and vitamins. The goal of this study is to explore insect oils in terms of physicochemical properties to help their utilization in future against the possible scarcity of the resources in the world, and the most important point is to help to enable these valuable edible insect species as one of the main nutrient sour...
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Citation Formats
M. ATAŞ, A. Temizel, and Y. ÇETİN, “Classification of aflatoxin contaminated chili pepper using hyperspectral imaging and artificial neural networks,” 2010, Accessed: 00, 2020. [Online]. Available: