Automated computer vision morphometry of Siberian elm (Ulmus pumila L.) leaves for the assessment of fluctuating asymmetry

Developmental stability is a sensitive indicator of environmental quality, and fluctuating asymmetry of bilateral morphological traits offers a straightforward means of its assessment. In plants, leaf blades are convenient structures for such analyses, yet traditional manual morphometry is laborious, subjective, and prone to interoperator variability. This study presents a fully automated computer vision pipeline to measure key morphological features of Siberian elm leaves (Ulmus pumila L.) from