AIMC Topic: Aquaculture

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Inhibition to crucial enzymes in the lethal effects of the dinoflagellate Karenia mikimotoi on the rotifer Brachionus plicatilis.

Marine environmental research Dec 21, 2019
Blooms of the dinoflagellate Karenia mikimotoi have cause great financial losses to the marine aquaculture industry. However, the toxicity mechanism of this species is still not fully known. In this study, we evaluated the short-term effects of K. mi...
Harmful Algal Bloom Animals Aquaculture Rotifera Adenosine Triphosphatases Oxidative Stress Sodium-Potassium-Exchanging ATPase Dinoflagellida
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Predicting fish kills and toxic blooms in an intensive mariculture site in the Philippines using a machine learning model.

The Science of the total environment Dec 17, 2019
Harmful algal blooms (HABs) that produce toxins and those that lead to fish kills are global problems that appear to be increasing in frequency and expanding in area. One way to help mitigate their impacts on people's health and livelihoods is to dev...
Chlorophyll Shellfish Salinity Animals Environmental Monitoring Aquaculture Fishes Philippines Harmful Algal Bloom Machine Learning
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Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium .

The Journal of biological chemistry Apr 26, 2017
Whereas genomes can be rapidly sequenced, the functions of many genes are incompletely or erroneously annotated because of a lack of experimental evidence or prior functional knowledge in sequence databases. To address this weakness, we describe here...
High-Throughput Nucleotide Sequencing Decapodiformes Expert Systems Animals Hawaii Genetic Complementation Test Aquaculture Genomics Computer Simulation Species Specificity Molecular Sequence Annotation Recombinant Proteins Bacterial Proteins Gene Deletion Reproducibility of Results Models, Genetic Aliivibrio fischeri Pacific Ocean Aquatic Organisms Open Reading Frames Escherichia coli Genomic Library
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Harnessing the fish gut microbiome and immune system to enhance disease resistance in aquaculture.

Fish & shellfish immunology Aug 1, 2025
The increasing global reliance on aquaculture is challenged by disease outbreaks, exacerbated by antibiotic resistance, and environmental stressors. Traditional strategies, such as antibiotic treatments and chemical interventions, are becoming less e...
Probiotics Fishes Prebiotics Aquaculture Fish Diseases Animals Diet Gastrointestinal Microbiome Disease Resistance
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Rapid and sensitive detection of pharmaceutical pollutants in aquaculture by aluminum foil substrate based SERS method combined with deep learning algorithm.

Analytica chimica acta May 15, 2025
BACKGROUND: Pharmaceutical residual such as antibiotics and disinfectants in aquaculture wastewater have significant potential risks for environment and human health. Surface enhanced Raman spectroscopy (SERS) has been widely used for the detection o...
Algorithms Anti-Bacterial Agents Deep Learning Aquaculture Spectrum Analysis, Raman Limit of Detection Aluminum Pharmaceutical Preparations Water Pollutants, Chemical
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Application of Artificial Neural Network and Genetic Algorithm Modeling for In Vitro Regeneration of Seaweed Seedling Production.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
Marine macro-algae, commonly known as "seaweed," are used in everyday commodity products worldwide for food, feed, and biostimulant for plants and animals and continue to be one of the conspicuous components of world aquaculture production. However, ...
Seedlings Regeneration Seaweed Algorithms Neural Networks, Computer Models, Genetic Machine Learning Aquaculture
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A prediction model of aquaculture water quality based on multiscale decomposition.

Mathematical biosciences and engineering : MBE Sep 2, 2021
In the field of intensive aquaculture, the deterioration of water quality is one of the main factors restricting the normal growth of aquatic products. Predicting water quality in real time constitutes the theoretical basis for the evaluation, planni...
Water Quality Neural Networks, Computer Algorithms Aquaculture
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Identification of spectral signature for in situ real-time monitoring of smoltification.

Applied optics May 10, 2021
We describe the use of an optical hyperspectral sensing technique to identify the smoltification status of Atlantic salmon (Salmo salar) based on spectral signatures, thus potentially providing smolt producers with an additional tool to verify the os...
Machine Learning Animals Salmo salar Seawater Electronic Data Processing Biosensing Techniques Fresh Water Aquaculture Adaptation, Physiological Osmoregulation
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An intelligent aerator algorithm inspired-by deep learning.

Mathematical biosciences and engineering : MBE Apr 10, 2019
Aerator is an indispensable tool in aquaculture, and China is one of the largest aquaculture countries in the world. So, the intelligent control of the aerator is of great significance to energy conservation and environmental protection and the preve...
Oxygen Mathematical Concepts Water Aquaculture Humans Algorithms Animals Deep Learning China
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