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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Haitao Chen, Yujing Han, Yongchang Liu, Dongyang Liu, Lianqiang Jiang, Kun Huang, Hongtao Wang, Leifeng Guo, Xinwei Wang, Jie Wang, Wenxin Xue
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2023-10-01
Schriftenreihe:Frontiers in Plant Science
Schlagworte:
precision agriculture
virus diseases
machine learning
hyperspectral
nondestructive
Online-Zugang:https://www.frontiersin.org/articles/10.3389/fpls.2023.1211617/full
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