Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field

Machine vision systems offer great potential for automating crop control, harvesting, fruit picking, and a range of other agricultural tasks. However, most of the reported research on machine vision in agriculture involves a 2D approach, where the utility of the resulting data is often limited by ef...

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Detalles Bibliográficos
Autores principales: Smith, Lyndon Neal, Zhang, Wenhao, Hansen, Mark F., Hales, Ian John, Smith, Melvyn Lionel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6034441/
https://www.ncbi.nlm.nih.gov/pubmed/29997402
http://dx.doi.org/10.1016/j.compind.2018.02.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6034441/
https://www.ncbi.nlm.nih.gov/pubmed/29997402
http://dx.doi.org/10.1016/j.compind.2018.02.002

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