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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 c...

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Dades bibliogràfiques
Publicat a:Appl Plant Sci
Autors principals: 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: Artigo
Idioma:Inglês
Publicat: John Wiley and Sons Inc. 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5895192/
https://ncbi.nlm.nih.gov/pubmed/29732261
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/aps3.1031
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