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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...
Uloženo v:
| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6472823/ https://ncbi.nlm.nih.gov/pubmed/30998770 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0215676 |
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