A computer vision approach for quantifying leaf shape of maize (Zea mays L.) and simulating its impact on light interception

A computer vision approach for quantifying leaf shape of maize (Zea mays L.) and simulating its impact on light interception

The precise determination of leaf shape is crucial for the quantification of morphological variations between individual leaf ranks and cultivars and simulating their impact on light interception in functional-structural plant models (FSPMs). Standard manual measurements on destructively collected l...

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Bibliographic Details
Main Authors: Dina Otto, Sebastian Munz, Emir Memic, Jens Hartung, Simone Graeff-Hönninger
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Plant Science
Subjects:
leaf shape
leaf width
maize (Zea mays L.)
computer vision
FSPM
light interception
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1521242/full
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