Whole plant chlorophyll fluorescence imaging is a powerful tool for
non-destructive analysis of photosynthesis. Analysis of such images
requires software that is able to process and calculate photosynthetic
parameters per plant pixel. PlantCV is an open-source, Python-based
library of image analysis tools for plant science. Previous versions of
PlantCV included tools to analyze photosynthetic efficiency data, but
recent developments to the photosynthesis subpackage have expanded to
include more photosynthetic parameters based on chlorophyll fluorescence
and spectral indices. This paper highlights the newest updates to the
photosynthesis package of PlantCV and discusses applications of these
tools on a sorghum dataset that was imaged with a PhenoVation
CropReporter system.