Exploring Soybean Flower and Pod Variation Patterns During Reproductive Period Based on Fusion Deep Learning

Exploring Soybean Flower and Pod Variation Patterns During Reproductive Period Based on Fusion Deep Learning

The soybean flower and the pod drop are important factors in soybean yield, and the use of computer vision techniques to obtain the phenotypes of flowers and pods in bulk, as well as in a quick and accurate manner, is a key aspect of the study of the soybean flower and pod drop rate (PDR). This pape...

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Bibliographic Details
Main Authors: Rongsheng Zhu, Xueying Wang, Zhuangzhuang Yan, Yinglin Qiao, Huilin Tian, Zhenbang Hu, Zhanguo Zhang, Yang Li, Hongjie Zhao, Dawei Xin, Qingshan Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Plant Science
Subjects:
soybean
fusion model
flower
pod
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.922030/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.922030/full

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