DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants

DLML-PC: an automated deep learning and metric learning approach for precise soybean pod classification and counting in intact plants

Pod numbers are important for assessing soybean yield. How to simplify the traditional manual process and determine the pod number phenotype of soybean maturity more quickly and accurately is an urgent challenge for breeders. With the development of smart agriculture, numerous scientists have explor...

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Bibliographic Details
Main Authors: Yixin Guo, Jinchao Pan, Xueying Wang, Hong Deng, Mingliang Yang, Enliang Liu, Qingshan Chen, Rongsheng Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Plant Science
Subjects:
soybean
pod type
deep learning
metric learning
non-disassembled plants
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1583526/full
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