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August 19, 2025AgronomyOpen Access

Development of Maize Canopy Architecture Indicators Through UAV Multi-Source Data

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Authors

SZShaolong ZhuDHDongwei HanWZWeijun Zhang

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Overview

Field experiments assess yield potential in maize with new canopy architecture indicators, suggesting precision in breeding efforts.

Key Points

  • High kurtosis and skewness, along with optimal plant height, are linked to better maize yield estimates and characteristics.
  • The estimation models for canopy indicators based on multi-source data showed R2 values ranging from 0.636 to 0.865, indicating high accuracy.
  • Field experiments involved sixty maize cultivars across different densities and locations to develop novel architecture indicators.
  • Insights from this research enhance methods for yield estimation and the breeding of improved maize crops.

Cite This Study

Zhu et al. (2025) studied this question.

synapsesocial.com/papers/68af33ddcf1dd9ea359e8cc2https://doi.org/10.3390/agronomy15081991
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