Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review

RK Oruganti, AP Biji, T Lanuyanger, PL Show… - Science of The Total …, 2023 - Elsevier
The increased water scarcity, depletion of freshwater resources, and rising environmental
awareness are stressing for the development of sustainable wastewater treatment …

Trends in digital image processing of isolated microalgae by incorporating classification algorithm

JWR Chong, KS Khoo, KW Chew, HY Ting… - Biotechnology …, 2023 - Elsevier
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …

Smart microalgae farming with internet-of-things for sustainable agriculture

HR Lim, KS Khoo, WY Chia, KW Chew, SH Ho… - Biotechnology …, 2022 - Elsevier
Agriculture farms such as crop, aquaculture and livestock have begun the implementation of
Internet of Things (IoT) and artificial intelligence (AI) technology in improving their …

Microalgae identification: Future of image processing and digital algorithm

JWR Chong, KS Khoo, KW Chew, DVN Vo… - Bioresource …, 2023 - Elsevier
The identification of microalgae species is an important tool in scientific research and
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …

AI on a chip

A Isozaki, J Harmon, Y Zhou, S Li, Y Nakagawa… - Lab on a Chip, 2020 - pubs.rsc.org
Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

Machine learning for microalgae detection and utilization

H Ning, R Li, T Zhou - Frontiers in Marine Science, 2022 - frontiersin.org
Microalgae are essential parts of marine ecology, and they play a key role in species
balance. Microalgae also have significant economic value. However, microalgae are too …

Towards a Sustainable Circular Economy: Algae‐Based Bioplastics and the Role of Internet‐of‐Things and Machine Learning

ADA Bin Abu Sofian, HR Lim, S Manickam… - ChemBioEng …, 2024 - Wiley Online Library
The growing potential of sustainable materials such as polyhydroxyalkanoates (PHAs),
polylactic acid (PLA), alginate, carrageenan, and ulvan for bioplastics production presents …

Comprehensive assessment of the microalgae-nitrifying bacteria competition in microalgae-based wastewater treatment systems: Relevant factors, evaluation …

J González-Camejo, S Aparicio, M Pachés, L Borrás… - Algal Research, 2022 - Elsevier
Due to their capacity to assimilate carbon dioxide and nutrients, microalgae-based
cultivation systems have emerged as a green solution for intensive wastewater treatment …

Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects

CT Yang, E Kristiani, YK Leong, JS Chang - Bioresource Technology, 2024 - Elsevier
This review explores the critical role of machine learning (ML) in enhancing microalgae
bioprocesses for sustainable biofuel production. It addresses both technical and economic …

Microalgal biorefineries: Advancement in machine learning tools for sustainable biofuel production and value-added products recovery

S Kavitha, YK Ravi, G Kumar, YK Nandabalan - Journal of Environmental …, 2024 - Elsevier
The microalgae can be converted into biofuels, biochemicals, and bioactive compounds in a
biorefinery. Recently, designing and executing more viable and sustainable biofuel …