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Detection and classification of damaged wheat kernels based on progressive neural architecture search

2021-08-01

Abstract excerpt

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 loss of grain, but also protect human beings from diseases caused by damaged grain. Therefore, research on the automatic detection of damaged grain is of continued urgency. In this paper, we propose a...

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Literature Corpus work
25d0fa62-7ba5-53bb-b972-0b9d73c5ac47
DOI
10.1016/j.biosystemseng.2021.05.016
Open publication

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