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This paper develops band weighting spectral methods, which are wSAM and wSID, for detection of pesticide residues on vegetables. Since the water content of vegetables has significant impact on the measured spectrum, the propsoed band weighting measures are able to suppress the effect of water content to enhace detectability of of pesticide residue detection. Compared to the traditional band selection...
This paper presents a new application of hyperspectral imaging to detection of pesticide residues. We conducted a series of base-line experiments which are particularly designed for pesticides commonly used in agriculture in Taiwan. In order to detect different levels of pesticide residue concentration, an unsupervised subpixel detection algorithm is developed for this purpose. It firsts applies Automatic...
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