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|
Lights, camera, action: high-throughput plant phenotyping is ready for a close-upNoah Fahlgren, Malia A Gehan, Ivan BaxterCurrent Opinion in Plant Biology, 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.