DS-DETR: A Model for Tomato Leaf Disease Segmentation and Damage Evaluation

DS-DETR: A Model for Tomato Leaf Disease Segmentation and Damage Evaluation

Early blight and late blight are important factors restricting tomato yield. However, it is still a challenge to accurately and objectively detect and segment crop diseases in order to evaluate disease damage. In this paper, the Disease Segmentation Detection Transformer (DS-DETR) is proposed to seg...

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Bibliographic Details
Main Authors: Jianshuang Wu, Changji Wen, Hongrui Chen, Zhenyu Ma, Tian Zhang, Hengqiang Su, Ce Yang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Agronomy
Subjects:
tomato disease
disease damage evaluation
detection transformer
deep learning
instance segmentation
Online Access:https://www.mdpi.com/2073-4395/12/9/2023

Internet

https://www.mdpi.com/2073-4395/12/9/2023

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