Application of regression and artificial neural network analysis of Red-Green-Blue image components in prediction of chlorophyll content in microalgae

Author:

Ying Ying Tang Doris,Wayne Chew Kit,Ting Huong-YongORCID,Sia Yuk-Heng,Gentili Francesco G.,Park Young-Kwon,Banat Fawzi,Culaba Alvin B.,Ma ZenglingORCID,Loke Show Pau

Funder

Vinnova

National Research Foundation of Korea

University of Nottingham Malaysia

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Medicine,Environmental Engineering,Bioengineering

Reference37 articles.

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3. Fundamentals of atmospheric radiation: an introduction with 400 problems;Bohren,2006

4. Lumostatic strategy for microalgae cultivation utilizing image analysis and chlorophyll a content as design parameters;Chen;Bioresour. Technol.,2011

5. The quantitative research of landscape color: A study of Ming Dynasty City Wall in Nanjing;Cheng;Color Res. Appl.,2018

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