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Classification models for Tobacco Mosaic Virus and Potato Virus Y using hyperspectral and machine learning techniques

Tobacco Mosaic Virus (TMV) and Potato Virus Y (PVY) pose significant threats to crop production. Non-destructive and accurate surveillance is crucial to effective disease control. In this study, we propose the adoption of hyperspectral and machine learning technologies to discern the type and severi...

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Principais autores: Haitao Chen, Yujing Han, Yongchang Liu, Dongyang Liu, Lianqiang Jiang, Kun Huang, Hongtao Wang, Leifeng Guo, Xinwei Wang, Jie Wang, Wenxin Xue
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2023-10-01
Serier:Frontiers in Plant Science
Fag:
precision agriculture
virus diseases
machine learning
hyperspectral
nondestructive
Online adgang:https://www.frontiersin.org/articles/10.3389/fpls.2023.1211617/full
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