Identification of maize kernel varieties based on interpretable ensemble algorithms

Identification of maize kernel varieties based on interpretable ensemble algorithms

IntroductionMaize kernel variety identification is crucial for reducing storage losses and ensuring food security. Traditional single models show limitations in processing large-scale multimodal data.MethodsThis study constructed an interpretable ensemble learning model for maize seed variety identi...

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Bibliographic Details
Main Authors: Chunguang Bi, Xinhua Bi, Jinjing Liu, Hao Xie, Shuo Zhang, He Chen, Mohan Wang, Lei Shi, Shaozhong Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Plant Science
Subjects:
maize kernel
variety identification
stacking ensemble model
multimodal data
differential evolutionary algorithm
SHAP value
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1511097/full
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