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October 1, 2025AgronomyOpen Access

Methodological Study on Maize Water Stress Diagnosis Based on UAV Multispectral Data and Multi-Model Comparison

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Authors

JZJiaxin ZhuSLSien LiWWWenyong Wu

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Overview

This methodological study evaluates water stress in maize using UAV multispectral data, suggesting improved irrigation methods and model efficiency.

Key Points

  • The Random Forest model under shallow-buried drip irrigation achieved the highest accuracy with R2 = 0.88.
  • Plastic film-mulched irrigation methods showed significant impacts on leaf water content throughout the growth stages.
  • Partial Least Squares Regression and Support Vector Regression were also leveraged for estimating water stress levels.
  • Correlation analysis identified plant height as the strongest predictor of leaf water content across irrigation treatments.

Cite This Study

Zhu et al. (2025) studied this question.

synapsesocial.com/papers/68dd9537fe798ba2fc4995ddhttps://doi.org/10.3390/agronomy15102318
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