Prediction of Microalgae Total Solid Concentration by Using Image Pattern Technique-Reference-Cited by-同舟云学术

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Prediction of Microalgae Total Solid Concentration by Using Image Pattern Technique

Published:2019-05-20 Issue:5 Volume:98 Page:73-84
ISSN:0916-8753
Container-title:Journal of the Japan Institute of Energy
language:en
Short-container-title:J. Jpn. Inst. Energy

Author:

WINATA Haikal Nando¹²,NOGUCHI Ryozo³,TOFAEL Ahamed³,NASUTION Muhammad Ansori¹⁴

Affiliation:

1. Graduate School, Life and Environmental Sciences, University of Tsukuba

2. Department of Industrial Computing, Institute Technology of Medan

3. Faculty of Life and Environmental Sciences, University of Tsukuba

4. Indonesian Oil Palm Research Institute (IOPRI) Medan

Publisher

The Japan Institute of Energy

Subject

General Energy

Link

https://www.jstage.jst.go.jp/article/jie/98/5/98_73/_pdf

Reference15 articles.

1. 1) La, M. H. S. H.-J., J Appl Phycol, 27, 205-209 (2015)

2. 2) Hauer, T.; Jirka, L., Journal of Applied Phycology, 19(5), 599-601 (2007)

3. 3) De Carvalho, C. C. et al., J Microbiol Methods, 60(1), 135- 140 (2005)

4. 4) Córdoba-Matson, M.; Gutiérrez, J.; Porta-Gándara, M., Journal of Applied Phycology, 22(4), 427-434 (2010)

5. 5) Demura, M. et al., Algal Research, 29, 22-35 (2018)

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1. Snow loss modeling for solar modules using image processing and deep learning;Sustainable Energy, Grids and Networks;2023-06

2. Microalgal biomass quantification from the non-invasive technique of image processing through red–green–blue (RGB) analysis;Journal of Applied Phycology;2022-01-24

3. Optimization of biomass growth for a novel quadruple renewable geothermal/hydro/biomass/solar hybrid system;Fuel;2021-12

4. Prediction of concentration for microalgae using image analysis;Multimedia Tools and Applications;2020-11-04

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