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Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping
With the implementation of novel automated, high throughput methods and facilities in the last years, plant phenomics has developed into a highly interdisciplinary research domain integrating biology, engineering and bioinformatics. Here we present a dataset of a non-invasive high throughput plant p...
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| 出版年: | Sci Data |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4986541/ https://ncbi.nlm.nih.gov/pubmed/27529152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/sdata.2016.55 |
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