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Curr Opin Plant Biol. 2015 Apr;24:93-9. doi: 10.1016/j.pbi.2015.02.006. Epub 2015 Feb 27.

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up.

Author information

1
Donald Danforth Plant Science Center, United States. Electronic address: nfahlgren@danforthcenter.org.
2
Donald Danforth Plant Science Center, United States. Electronic address: mgehan@danforthcenter.org.
3
USDA-ARS, Donald Danforth Plant Science Center, United States.

Abstract

Anticipated population growth, shifting demographics, and environmental variability over the next century are expected to threaten global food security. In the face of these challenges, crop yield for food and fuel must be maintained and improved using fewer input resources. In recent years, genetic tools for profiling crop germplasm has benefited from rapid advances in DNA sequencing, and now similar advances are needed to improve the throughput of plant phenotyping. We highlight recent developments in high-throughput plant phenotyping using robotic-assisted imaging platforms and computer vision-assisted analysis tools.

PMID:
25733069
DOI:
10.1016/j.pbi.2015.02.006
[Indexed for MEDLINE]
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