A corn canopy organs detection method based on improved DBi-YOLOv8 network

Corn canopy organs detection is critical in obtaining high-throughput phenotypic data. Accurate identification of each organ can provide a reliable data source for canopy phenotype determination, which has significant theoretical and practical value for corn variety breeding, cultivation management,...

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Bibliographic Details
Published in:	European journal of agronomy Vol. 154; p. 127076
Main Authors:	Guan, Haiou, Deng, Haotian, Ma, Xiaodan, Zhang, Tao, Zhang, Yifei, Zhu, Tianyu, Zhou, Haichao, Gu, Zhicheng, Lu, Yuxin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2024
Subjects:	agronomy algorithms Bi-level routing attention canopy corn Corn canopy Detection model field crops Improved deformable convolution model validation neck phenotype rapid methods raspberries YOLOv8 Detection model Bi-level routing attention Improved deformable convolution YOLOv8 Corn canopy
ISSN:	1161-0301, 1873-7331
Online Access:	Get full text
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