Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene

Generally, sunflower seeds are classified by machine vision-based methods in production, which include using photoelectric sensors to identify light-sensitive signals through traditional algorithms for which the equipment cost is relatively high and using neural network image recognition methods to...

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Detalles Bibliográficos
Autores principales: Jin, Xiaowei, Zhao, Yuhong, Wu, Hao, Sun, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674848/
https://www.ncbi.nlm.nih.gov/pubmed/36400872
http://dx.doi.org/10.1038/s41598-022-23869-4