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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Smithsonian figshare
Dataset . 2021
License: CC BY
Data sources: Bielefeld Academic Search Engine (BASE)
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Dataset for Black Tea Fermentation Detection based on Image Processing and Machine Learning Techniques

Research datakeyboard_double_arrow_right Dataset 26 Jan 2021Publisher:Zenodo
Authors: Kimutai, Gibson; Ngenzi, Alexander; Said, Rutabayiro Ngoga; Förster, Anna;

doi: 10.5281/zenodo.4469326 , 10.5281/zenodo.4469325

Dataset for Black Tea Fermentation Detection based on Image Processing and Machine Learning Techniques

Abstract

This is a dataset on black tea fermentation. The dataset contains black tea fermentation conditions and images. The fermentation conditions captured are: temperature, humidty and time. The images belong to black tea as they underwent the fermentation process. The dataset was collected in Sisibo tea factory, Kenya in July and August 2020.

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Keywords

Detection, Infectious Diseases, Ecology, Sociology, Space Science, Tea, Fermentation, Internet of Things, Cell Biology, Molecular Biology, Biotechnology, Biological Sciences not elsewhere classified, Dataset

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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