Leaf Angle eXtractor: A high‐throughput image processing framework for leaf angle measurements in maize and sorghum

• Published in: Applications in plant sciences Vol. 8; no. 8; pp. e11385 - n/a
• Main Authors: Kenchanmane Raju, Sunil K., Adkins, Miles, Enersen, Alex, Santana de Carvalho, Daniel, Studer, Anthony J., Ganapathysubramanian, Baskar, Schnable, Patrick S., Schnable, James C.
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.08.2020; John Wiley and Sons Inc; Wiley
• Subjects: Adaptation; Automation; Cameras; computer vision; corn; Drought; image analysis; Image processing; labor; Leaf angle; Leaves; Light interception; maize; phenotype; Phenotyping; Photosynthesis; plant architecture; plant response; Plant sciences; Software Note; Software Notes; Sorghum; Sorghum bicolor; Temporal variations; time series analysis; water deprivation; Wilting; Zea mays mays; Zea mays subsp. mays; United States > US; drought; image analysis; maize; phenotyping; computer vision

Premise Maize yields have significantly increased over the past half‐century owing to advances in breeding and agronomic practices. Plants have been grown in increasingly higher densities due to changes in plant architecture resulting in plants with more upright leaves, which allows more efficient l...