Noah Fahlgren, Max Feldman, and Malia Gehan @ Danforth Center


Measured variables shape, color, width, height, convex-hull
Operating system mac, windows, linux
Licence open-source
Automation level automated
Plant requirements any
Export formats sqlite, csv, png, svg
Other information -

Scientific article(s)

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up
Noah Fahlgren, Malia A Gehan, Ivan Baxter
Current Opinion in Plant Biology, 2017 View paper

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PlantCV is a flexible image processing and analysis package written in Python. PlantCV was built to analyze high-throughput phenotyping images from a commercial platform, but has also been used to analyze images from small custom imaging stations. PlantCV is an open-development resource and the community is encouraged to contribute.

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