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A common 3D processing pipeline including the use of a region of interest and outlier handling to extract non-complex parameters as height, width and volume (1). The use of routines like machine learning/deep learning enables the identification and parameterization of plant organ parameters (2). Using multiple recordings over time monitoring of development and differentiation between growth and movement is possible (3)
