PlantCV
Noah Fahlgren, Max Feldman, and Malia Gehan @ Danforth Center
Overview
Measured variables | shape, color, width, height, convex-hull |
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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)
Success: Citation data updated from CrossRef.
PlantCV v2: Image analysis software for high-throughput plant phenotypingMalia A. Gehan, Noah Fahlgren, Arash Abbasi, Jeffrey C. Berry, Steven T. Callen, Leonardo Chavez, Andrew N. Doust, Max J. Feldman, Kerrigan B. Gilbert, John G. Hodge, J. Steen Hoyer, Andy Lin, Suxing Liu, César Lizárraga, Argelia Lorence, Michael Miller, Eric Platon, Monica Tessman, Tony SaxPeerJ, 2017
View paper
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Description
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.