Using preprocessed datasets to construct and interpret multiclass identification models

Using preprocessed datasets to construct and interpret multiclass identification models

IntroductionImage and near-infrared (NIR) spectroscopic data are widely used for constructing analytical models in precision agriculture. While model interpretation can provide valuable insights for quality control and improvement, the inherent ambiguity of individual image pixels or spectral data p...

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Bibliographic Details
Main Authors: Cong Wang, Yufeng Fu, Ran Wan, Le Zhao, Hongbo Wang, Junwei Guo, Qiang Liu, Shan Li, Shengtao Ma, Zhicai Wang, Wei Huang, Huimin Liu, Song Yang, Cong Nie
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Plant Science
Subjects:
multiclass identification
preprocessed data
kernel support vector machine
model interpretation
SHAP
image analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1597673/full
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