CMRD-Net: a deep learning-based Cnaphalocrocis medinalis damage symptom rotated detection framework for in-field survey

The damage symptoms of Cnaphalocrocis medinalis (C.medinalis) is an important evaluation index for pest prevention and control. However, due to various shapes, arbitrary-oriented directions and heavy overlaps of C.medinalis damage symptoms under complex field conditions, generic object detection met...

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Bibliographic Details

Published in:	Frontiers in Plant Science
Main Authors:	Tianjiao Chen, Rujing Wang, Jianming Du, Hongbo Chen, Jie Zhang, Wei Dong, Meng Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-06-01
Subjects:	Cnaphalocrocis medinalis damage symptom deep learning rotated object detection horizontal object detection
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2023.1180716/full