| Literature DB >> 25733069 |
Noah Fahlgren1, Malia A Gehan2, Ivan Baxter3.
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.Mesh:
Year: 2015 PMID: 25733069 DOI: 10.1016/j.pbi.2015.02.006
Source DB: PubMed Journal: Curr Opin Plant Biol ISSN: 1369-5266 Impact factor: 7.834