Raspberry Pi–powered imaging for plant phenotyping

Premise of the Study Image‐based phenomics is a powerful approach to capture and quantify plant diversity. However, commercial platforms that make consistent image acquisition easy are often cost‐prohibitive. To make high‐throughput phenotyping methods more accessible, low‐cost microcomputers and ca...

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Veröffentlicht in:	Applications in plant sciences Jg. 6; H. 3; S. e1031 - n/a
Hauptverfasser:	Tovar, Jose C., Hoyer, J. Steen, Lin, Andy, Tielking, Allison, Callen, Steven T., Elizabeth Castillo, S., Miller, Michael, Tessman, Monica, Fahlgren, Noah, Carrington, James C., Nusinow, Dmitri A., Gehan, Malia A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States John Wiley & Sons, Inc 01.03.2018 John Wiley and Sons Inc
Schlagworte:	Cameras color computer software Computers Data analysis Documentation Image processing imaging low‐cost phenotyping Metadata morphology phenomics phenotype Phenotyping Plant extracts Plant sciences Protocol Protocol Note Protocol Notes raspberries Raspberry Pi Research programs Shutdowns Software species diversity New York United States > US low‐cost phenotyping Raspberry Pi morphology imaging
ISSN:	2168-0450, 2168-0450
Online-Zugang:	Volltext
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