Welcome to the documentation for PlantCV


PlantCV is composed of modular functions in order to be applicable to a variety of plant types and imaging systems. In the following documentation we will describe use of each function and provide tutorials on how each function is used in the context of an overall image-processing workflow. PlantCV currently supports the analysis of standard RGB color images (aka "VIS"), standard grayscale images (e.g. near-infrared, "NIR"), thermal infrared images, grayscale images from chlorophyll fluorescence imaging systems ("PSII"), and hyperspectral ("ENVI") images. Support for additional image types is under development. Development of PlantCV is ongoing---we encourage input from the greater plant phenomics community. Please post questions and comments on the GitHub issues page.

Getting started

The documentation can be navigated using the sidebar table of contents. Documentation for individual PlantCV functions are listed under the headings "PlantCV Namespace". For general information on installation, updating, and other questions, see:


We have added interactive documentation (the link takes up to a few minutes to load so be patient please), so you can test out workflows and even upload your own images to test on.

  • Binder Check out our interactive tutorials!

Also see our tutorials documentation pages for more detailed overviews of using PlantCV for specific tasks:


If you are interested in contributing to PlantCV, please see:


The documentation defaults to the stable version of PlantCV which is the current release version available from PyPI and Bioconda. Documentation for all releases from v1.1 on are also available via the standard Read the Docs popup/pulldown menu (bottom right corner). Select the latest version to get the most up-to-date documentation associated with the current code in GitHub.

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