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

Journal

CURRENT OPINION IN PLANT BIOLOGY
Volume 24, Issue -, Pages 93-99

Publisher

CURRENT BIOLOGY LTD
DOI: 10.1016/j.pbi.2015.02.006

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Funding

  1. USDA NIFA [MOW-2012-01361]
  2. NSF [IIA-1355406]
  3. NSF PGRP [IOS-1202682]
  4. USDA ARS Intramural Funds
  5. DOE [DOE-SC-008796]
  6. Direct For Biological Sciences
  7. Division Of Integrative Organismal Systems [1202682] Funding Source: National Science Foundation
  8. Office of Integrative Activities
  9. Office Of The Director [1355406] Funding Source: National Science Foundation

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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.

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