Food chemistryTriticumDeep LearningFlourSeeds
Food defect detection technologies based on deep learning and prospects in detection of unsound wheat kernels.
Rong Wang, Zhiyao Zhao, Ying Sun, Yongbiao Ni, Jin Ye, Min Zhang, Liwen Cui
Published: 202510.1016/j.foodchem.2025.146910
Abstract
With rising concerns over global food security and quality pressures and the rapid advancement of agricultural intelligence, wheat quality detection demands higher efficiency, accuracy, and automation. Unsound wheat kernels, which adversely affect fl…
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