Quantifying time-series of leaf morphology using 2D and 3D photogrammetry methods for high-throughput plant phenotyping

•Developed novel computer vision algorithms for time-series plant morphology in 2D and 3D.•We used 2D leaf area to quantify leaf nastic movements.•3D leaf area showed a reliable time-series leaf growth trend.•The throughput of the pipeline is very high comparing to previous studies.