Trends in digital image processing of isolated microalgae by incorporating classification algorithm
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 …
blooms affecting both the aquatic habitat and human health. Despite this occurence …
Microalgae identification: Future of image processing and digital algorithm
The identification of microalgae species is an important tool in scientific research and
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …
commercial application to prevent harmful algae blooms (HABs) and recognizing potential …
Recent advances in microalgal production, harvesting, prediction, optimization, and control strategies
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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
Abstract Harmful Algal Blooms (HAB) are damaging to ecosystem functions and pose
challenges to environmental and fisheries management. The key to HAB management and …
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
Accurately classifying microalgae species is vital for monitoring marine ecosystems and
managing the emergence of marine mucilage, which is crucial for monitoring mucilage …
managing the emergence of marine mucilage, which is crucial for monitoring mucilage …