Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

BACKGROUND: Convolvulus sepium (hedge bindweed) detection in sugar beet fields remains a challenging problem due to variation in appearance of plants, illumination changes, foliage occlusions, and different growth stages under field conditions. Current approaches for weed and crop recognition, segme...

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Detalles Bibliográficos
Autores principales: Gao, Junfeng, French, Andrew P., Pound, Michael P., He, Yong, Pridmore, Tony P., Pieters, Jan G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059384/
https://www.ncbi.nlm.nih.gov/pubmed/32165909
http://dx.doi.org/10.1186/s13007-020-00570-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059384/
https://www.ncbi.nlm.nih.gov/pubmed/32165909
http://dx.doi.org/10.1186/s13007-020-00570-z

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