Maize Silage Kernel Fragment Estimation Using Deep Learning-Based Object Recognition in Non-Separated Kernel/Stover RGB Images

Efficient and robust evaluation of kernel processing from corn silage is an important indicator to a farmer to determine the quality of their harvested crop. Current methods are cumbersome to conduct and take between hours to days. We present the adoption of two deep learning-based methods for kerne...

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Detalles Bibliográficos
Autores principales: Rasmussen, Christoffer Bøgelund, Moeslund, Thomas B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720514/
https://www.ncbi.nlm.nih.gov/pubmed/31405164
http://dx.doi.org/10.3390/s19163506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720514/
https://www.ncbi.nlm.nih.gov/pubmed/31405164
http://dx.doi.org/10.3390/s19163506

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