Identification of Soybean Mutant Lines Based on Dual-Branch CNN Model Fusion Framework Utilizing Images from Different Organs

Identification of Soybean Mutant Lines Based on Dual-Branch CNN Model Fusion Framework Utilizing Images from Different Organs

The accurate identification and classification of soybean mutant lines is essential for developing new plant varieties through mutation breeding. However, most existing studies have focused on the classification of soybean varieties. Distinguishing mutant lines solely by their seeds can be challengi...

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Bibliographic Details
Main Authors: Guangxia Wu, Lin Fei, Limiao Deng, Haoyan Yang, Meng Han, Zhongzhi Han, Longgang Zhao
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Plants
Subjects:
soybean
mutant lines
identification
dual-convolutional neural network
feature fusion
Online Access:https://www.mdpi.com/2223-7747/12/12/2315

Internet

https://www.mdpi.com/2223-7747/12/12/2315

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