GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping.
Traditional methods for trait phenotyping have been a bottleneck for research in many crop species due to their intensive labor, high cost, complex implementation, lack of reproducibility and propensity to subjective bias. Recently, multiple high-throughput phenotyping platforms have been developed,...
Main Authors: | Luis Diaz-Garcia, Giovanny Covarrubias-Pazaran, Brandon Schlautman, Juan Zalapa |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4986961?pdf=render |
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