Original papersPixel-level Aflatoxin (cas 1402-68-2) detecting based on deep learning and hyperspectral imaging

Add time:09/07/2019    Source:sciencedirect.com

Aflatoxin (cas 1402-68-2) is a kind of virulent and strong carcinogenic substance, and it is found widely in peanut, Maize and their agricultural products. In order to detect Aflatoxin in peanut, we first built a hyperspectral imaging system using a grating module, SCOMS camera, and electric displacement platform, and acquired 146 hyperspectral images cubes of 73 peanut samples before and after contaminated with aflatoxin. Then, we proposed a reshaped image method of pixel spectral for the CNN method. By studying on random selection data-sets and comparing with different identification models, we found that: (1) Reshape image established by the pixel level spectral is good enough for aflatoxin detected problems, overall recognition rate reached above 95% on pixel-level. (2) The deep learning method is worked well and it is better than traditional identification models, not only on the pixel level but also on the kernel identification. The recognition rate of above 90% on the kernel level can quickly use in sorting machine's design.

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