Detection of Sunn Pest Damaged Wheat Grains Using Artificial Bee Colony Optimization Based Artificial Intelligence Techniques.
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DOI: 10.1002/jsfa.10093
Abstract: BACKGROUND In this study, artificial intelligence models that identifies sunn pest damaged wheat grains (SDG) and healthy wheat grains (HWG) are presented. Svevo durum wheat cultivated from Konya area are used for the process. 150… read more here.
Keywords: detection; wheat; damaged wheat; artificial intelligence ... See more keywords