Machine Learning Analysis of Maize Seedling Traits Under Drought Stress

Machine Learning Analysis of Maize Seedling Traits Under Drought Stress

The increasing concentration of greenhouse gases is amplifying the global risk of drought on crop productivity. This study sought to investigate the effects of drought on the growth of maize (<i>Zea mays</i> L.) seedlings. A total of 78 maize hybrids were employed in this study to replic...

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Bibliographic Details
Main Authors: Lei Zhang, Fulai Zhang, Wentao Du, Mengting Hu, Ying Hao, Shuqi Ding, Huijuan Tian, Dan Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Biology
Subjects:
maize
drought stress
seedling stage
machine learning
Online Access:https://www.mdpi.com/2079-7737/14/7/787
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