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 …

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 …

Recent advances in microalgal production, harvesting, prediction, optimization, and control strategies

T Shitanaka, H Fujioka, M Khan, M Kaur, ZY Du… - Bioresource …, 2024 - Elsevier
The market value of microalgae has grown exponentially over the past two decades, due to
their use in the pharmaceutical, nutraceutical, cosmetic, and aquatic/animal feed industries …

Machine learning for algal biofuels: a critical review and perspective for the future

A Coşgun, ME Günay, R Yıldırım - Green Chemistry, 2023 - pubs.rsc.org
In this work, machine learning (ML) applications in microalgal biofuel production are
reviewed. First, the basic steps of algal biofuel production are summarized followed by a …

[HTML][HTML] An artificial intelligence approach for identification of microalgae cultures

P Otálora, JL Guzmán, FG Acién, M Berenguel… - New Biotechnology, 2023 - Elsevier
In this work, a model for the characterization of microalgae cultures based on artificial neural
networks has been developed. The characterization of microalgae cultures is essential to …

Computer vision based deep learning approach for the detection and classification of algae species using microscopic images

Abdullah, S Ali, Z Khan, A Hussain, A Athar, HC Kim - Water, 2022 - mdpi.com
The natural phenomenon of harmful algae bloom (HAB) has a bad impact on the quality of
pure and freshwater. It increases the risk to human health, water bodies and overall aquatic …

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 …

Deep learning-based algal detection model development considering field application

J Park, J Baek, J Kim, K You, K Kim - Water, 2022 - mdpi.com
Algal blooms have various effects on drinking water supply systems; thus, proper monitoring
is essential. Traditional visual identification using a microscope is a time-consuming method …

A low-cost edge AI-chip-based system for real-time algae species classification and HAB prediction

A Yuan, B Wang, J Li, JHW Lee - Water Research, 2023 - Elsevier
Abstract Harmful Algal Blooms (HAB) are damaging to ecosystem functions and pose
challenges to environmental and fisheries management. The key to HAB management and …

Enhancing microalgae classification accuracy in marine ecosystems through convolutional neural networks and support vector machines

ME Sonmez, NE Gumus, N Eczacioglu, EE Develi… - Marine Pollution …, 2024 - Elsevier
Accurately classifying microalgae species is vital for monitoring marine ecosystems and
managing the emergence of marine mucilage, which is crucial for monitoring mucilage …