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

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

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

Afiliación

Ying Ying Tang D; Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection, Wenzhou University, Wenzhou 325035, China; Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500
Wayne Chew K; School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 62 Nanyang Drive, Singapore 637459 Singapore.
Ting HY; Drone Research and Application Centre, University of Technology Sarawak, Sarawak, Malaysia.
Sia YH; Drone Research and Application Centre, University of Technology Sarawak, Sarawak, Malaysia.
Gentili FG; Department of Forest Biomaterials and Technology (SBT), Swedish University of Agricultural Sciences (SLU), 901 83, Umeå, Sweden.
Park YK; School of Environmental Engineering, University of Seoul, Seoul 02504, Republic of Korea.
Banat F; Department of Chemical Engineering, Khalifa University, P.O Box 127788, Abu Dhabi, United Arab Emirates.
Culaba AB; Department of Mechanical Engineering, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines; Center for Engineering and Sustainable Development Research, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines.
Ma Z; Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection, Wenzhou University, Wenzhou 325035, China.
Loke Show P; Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection, Wenzhou University, Wenzhou 325035, China; Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500

Bioresour Technol ; 370: 128503, 2023 Feb.

Article en En | MEDLINE | ID: mdl-36535615

Asunto(s)

Clorofila; Microalgas; Redes Neurales de la Computación; Modelos Lineales

Palabras clave

Chlorophyll; Microalgae; Multilayer perceptron; Prediction; Regression

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clorofila / Microalgas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioresour Technol Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

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