Work

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

Year: 2015

Type: review

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.

Source: Current Opinion in Plant Biology

DOI: 10.1016/j.pbi.2015.02.006

Authors: Noah Fahlgren, Malia A Gehan, Ivan Baxter

Institutions: Donald Danforth Plant Science Center, Agricultural Research Service

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $4,810