Noah Fahlgren, Max Feldman, and Malia Gehan @ Danforth Center
|Measured variables||shape, color, width, height, convex-hull|
|Operating system||mac, windows, linux|
|Export formats||sqlite, csv, png, svg|
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
Other tools for the analysis of shoot,seed,rosette,leaf:
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.