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Online Detection of Impurities in Corn Deep-Bed Drying Process Utilizing Machine Vision
Online detection of impurities content in the corn deep-bed drying process is the key technology to ensure stable operation and to provide data support for self-adapting control of drying equipment. In this study, an automatic approach to corn image acquisition, impurity classification and recogniti...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777920/ https://www.ncbi.nlm.nih.gov/pubmed/36553752 http://dx.doi.org/10.3390/foods11244009 |