Jeffrey Berry @ Danforth Center


Measured variables shape, color
Operating system linux
Licence open-source, freeware
Automation level automated
Plant requirements any
Export formats csv
Other information

Scientific article(s)

An automated, high-throughput method for standardizing image color profiles to improve image-based plant phenotyping
Jeffrey C. Berry, Noah Fahlgren, Alexandria A. Pokorny, Rebecca S. Bart, Kira M. Veley
PeerJ, 2018 View paper

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PhenotyperCV is a C++ framework that analyzes images in a high-throughput manner. It was originally developed for commercial phenotyping platforms but has developed into a broad tool that can easily be used to process small scale images. Along with measuring morphology and color, this framework includes the tools to color correct images, calibrate cameras, convert image coordinates to world coordinates, and includes machine learning functionality. PhenotyperCV is open source and any contribution from the community is very welcome.

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