Convolutional variational autoencoder-based feature learning for automatic tea clone recognition
It is common to have various clones from cross-seedlings or unintended planting by the farmers in a tea plantation. Since each tea clone has distinctive features such as quality, resistance to diseases, etc., visual inspections are usually conducted on the plantations to segment areas with different...
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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2022-06-01
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| Serie: | Journal of King Saud University: Computer and Information Sciences |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S1319157821000227 |
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