DSCONV-GAN: a UAV-BASED model for Verticillium Wilt disease detection in Chinese cabbage in complex growing environments

DSCONV-GAN: a UAV-BASED model for Verticillium Wilt disease detection in Chinese cabbage in complex growing environments

Abstract Verticillium wilt greatly hampers Chinese cabbage growth, causing significant yield limitations. Rapid and accurate detection of Verticillium wilt in the Chinese cabbage (Brassica rapa L. ssp. pekinensis) can provide significant agronomic benefits. Here, we propose a detection model, DSConv...

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Bibliographic Details
Main Authors: Jun Zhang, Dongfang Zhang, Jingyan Liu, Yuhong Zhou, Xiaoshuo Cui, Xiaofei Fan
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Plant Methods
Subjects:
Unmanned aerial vehicle
Cycle-GAN
Disease detection
Precision agriculture
Chinese cabbage
Online Access:https://doi.org/10.1186/s13007-024-01303-2
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https://doi.org/10.1186/s13007-024-01303-2

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