Detection of Sunn Pest Damaged Wheat Grains Using Artificial Bee Colony Optimization Based Artificial Intelligence Techniques.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the science of food and agriculture"
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
Detection and classification of damaged wheat kernels based on progressive neural architecture search
Sign Up to like & getrecommendations! Published in 2021 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2021.05.016
Abstract: Quantity and quality of grain are both closely related to national development and social stability. Grain is lost during storage due to mildew and insects. Detection of damaged grain kernels not only can reduce the… read more here.
Keywords: wheat; neural architecture; damaged wheat; wheat kernels ... See more keywords
IMPROVING THE BREAD QUALITY OF SUNI-BUG DAMAGED WHEAT FLOURS BY SOURDOUGH BREADMAKING AND LIQUID RYE SOUR
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DOI: 10.1556/066.2020.49.2.6
Abstract: The breadmaking quality of bug-damaged wheat flours with high protease activity (HPAWF) and low protease activity (LPAWF) was attempted to be improved by using sourdough (prepared by L. plantarum (SD1) and L. sanfrancissensis (SD2)) and… read more here.
Keywords: quality; damaged wheat; bread quality; wheat flours ... See more keywords