Non-invasive monitoring of microalgae cultivations in laboratory scale using hyperspectral imager

Pääkkönen, Salli; Salmi, Pauliina; Raita-Hakola, Anna-Maria; Pölönen, Ilkka. (2022). Non-invasive monitoring of microalgae cultivations in laboratory scale using hyperspectral imager . V. 9.5.2023. University of Jyväskylä. https://doi.org/10.23729/1e576402-1ccc-4974-a392-e014bd6cec38.

All authors: Pääkkönen, Salli; Salmi, Pauliina; Raita-Hakola, Anna-Maria; Pölönen, Ilkka

Funders: Business Finland

Right-holders: 

Availability and identifiers

Availability: Direct download

Publication year: 2022

DOI identifier in original repository: https://doi.org/10.23729/1e576402-1ccc-4974-a392-e014bd6cec38

Description of the dataset

Description: These data include hyperspectral images of microalgae cultivations, laboratory measurements of microalgae biomass, files for data processing and models to resolve biomass from the hyperspectral images.

Language: English

Free keywords: green microalgae, hyperspectral imaging, non-invasive monitoring, vegetation indices, convolutional neural network, model comparison

Keywords (YSO): microalgae; hyperspectral imaging; monitoring; computational science

Fields of science: 222 Other engineering and technologies; 1183 Plant biology, microbiology, virology; 113 Computer and information sciences

Follow-up groups: Computational Science (Faculty of Information Technology IT) LASK; Aquatic Sciences (Department of Biological and Environmental Science BIOENV) WET; School of Resource Wisdom (University of Jyväskylä JYU) JYU.Wisdom

Do you deal with data concerning special categories of personal data in your research?: No

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