Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields

To reduce the cost of production and the pollution of the environment that is due to the overapplication of herbicide in paddy fields, the location information of rice seedlings and weeds must be detected in site-specific weed management (SSWM). With the development of deep learning, a semantic segm...

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Detalles Bibliográficos
Autores principales: Ma, Xu, Deng, Xiangwu, Qi, Long, Jiang, Yu, Li, Hongwei, Wang, Yuwei, Xing, Xupo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472823/
https://www.ncbi.nlm.nih.gov/pubmed/30998770
http://dx.doi.org/10.1371/journal.pone.0215676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472823/
https://www.ncbi.nlm.nih.gov/pubmed/30998770
http://dx.doi.org/10.1371/journal.pone.0215676

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