Impurity monitoring study for corn kernel harvesting based on machine vision and CPU-Net
Computers and Electronics in Agriculture(2022)
摘要
•A machine vision-based monitoring device for kernel impurity rate is designed.•The corn material mass-pixel linear regression model and a model for calculating corn impurity rate are established.•The CPU-Net semantic segmentation model dedicated to kernel impurity monitoring is proposed.
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关键词
Semantic segmentation,Corn harvester,Kernel impurity rate,CPU-Net,Machine vision
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