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Predicting plant biomass accumulation from image-derived parameters

Published:2018-01-16 Issue:2 Volume:7 Page:
ISSN:2047-217X
Container-title:GigaScience
language:en
Short-container-title:

Author:

Chen Dijun¹²,Shi Rongli¹,Pape Jean-Michel¹,Neumann Kerstin¹,Arend Daniel¹^ORCID,Graner Andreas¹,Chen Ming³,Klukas Christian¹⁴

Affiliation:

1. Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466 Gatersleben, Germany

2. Present address: Department for Plant Cell and Molecular Biology, Institute for Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany

3. Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China

4. Present address: Digitalization in Research and Development (ROM), BASF SE, 67056 Ludwigshafen am Rhein, Germany

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

Link

http://academic.oup.com/gigascience/article-pdf/7/2/giy001/24620995/giy001.pdf

Reference46 articles.

1. Estimating plant biomass: a review of techniques;Catchpole;Austral Ecol,1992

2. A new method for non-destructive measurement of biomass, growth rates, vertical biomass distribution and dry matter content based on digital image analysis;Tackenberg;Ann Bot,2007

3. Accurate inference of shoot biomass from high-throughput images of cereal plants;Golzarian;Plant Methods,2011

4. Lights, camera, action: high-throughput plant phenotyping is ready for a close-up;Fahlgren;Curr Opin Plant Biol,2015

5. High-throughput non-destructive biomass determination during early plant development in maize under field conditions;Montes;Field Crops Res

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