Early Detection of Rice Blast Using a Semi-Supervised Contrastive Unpaired Translation Iterative Network Based on UAV Images

Early Detection of Rice Blast Using a Semi-Supervised Contrastive Unpaired Translation Iterative Network Based on UAV Images

Rice blast has caused major production losses in rice, and thus the early detection of rice blast plays a crucial role in global food security. In this study, a semi-supervised contrastive unpaired translation iterative network is specifically designed based on unmanned aerial vehicle (UAV) images f...

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Bibliographic Details
Main Authors: Shaodan Lin, Jiayi Li, Deyao Huang, Zuxin Cheng, Lirong Xiang, Dapeng Ye, Haiyong Weng
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Plants
Subjects:
rice blast
semi-supervised
soft labels
contrastive unpaired translation
unmanned aerial vehicle
Online Access:https://www.mdpi.com/2223-7747/12/21/3675

Internet

https://www.mdpi.com/2223-7747/12/21/3675

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