AIMC Topic: Aquaculture

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Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish Species.

Biomolecules Dec 14, 2023
Detecting skeletal or bone-related deformities in model and aquaculture fish is vital for numerous biomedical studies. In biomedical research, model fish with bone-related disorders are potential indicators of various chemically induced toxins in the...
Aquaculture Bone Diseases Fishes Animals Diet Artificial Intelligence
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Genomic and machine learning-based screening of aquaculture-associated introgression into at-risk wild North American Atlantic salmon (Salmo salar) populations.

Molecular ecology resources May 28, 2023
The negative genetic impacts of gene flow from domestic to wild populations can be dependent on the degree of domestication and exacerbated by the magnitude of pre-existing genetic differences between wild populations and the domestication source. Re...
Polymorphism, Single Nucleotide Aquaculture Animals, Wild Genomics Microsatellite Repeats Genetics, Population Genetic Introgression Machine Learning Salmo salar Animals North America
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Prediction of dissolved oxygen concentration in aquaculture based on attention mechanism and combined neural network.

Mathematical biosciences and engineering : MBE Oct 21, 2022
As an essential water quality parameter in aquaculture ponds, dissolved oxygen (DO) affects the growth and development of aquatic animals and their feeding and absorption. However, DO is easily influenced by external factors. It is not easy to make s...
Oxygen Cities Aquaculture Neural Networks, Computer China
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A Two-Mode Underwater Smart Sensor Object for Precision Aquaculture Based on AIoT Technology.

Sensors (Basel, Switzerland) Oct 7, 2022
Monitoring the status of culture fish is an essential task for precision aquaculture using a smart underwater imaging device as a non-intrusive way of sensing to monitor freely swimming fish even in turbid or low-ambient-light waters. This paper deve...
Humans Technology Animals Aquaculture Neural Networks, Computer Artificial Intelligence Sound
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A System for Autonomous Seaweed Farm Inspection with an Underwater Robot.

Sensors (Basel, Switzerland) Jul 5, 2022
This paper outlines challenges and opportunities in operating underwater robots (so-called AUVs) on a seaweed farm. The need is driven by an emerging aquaculture industry on the Swedish west coast where large-scale seaweed farms are being developed. ...
Robotics Seaweed Farms Aquaculture Algorithms
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A Low-Cost AI Buoy System for Monitoring Water Quality at Offshore Aquaculture Cages.

Sensors (Basel, Switzerland) May 27, 2022
The ocean resources have been rapidly depleted in the recent decade, and the complementary role of aquaculture to food security has become more critical than ever before. Water quality is one of the key factors in determining the success of aquacultu...
Humans Artificial Intelligence Aquaculture Water Quality Salinity Environmental Monitoring
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LSTM-TCN: dissolved oxygen prediction in aquaculture, based on combined model of long short-term memory network and temporal convolutional network.

Environmental science and pollution research international Feb 1, 2022
Dissolved oxygen (DO) is an important water quality monitoring parameter of great significance in aquaculture. Accurate prediction of dissolved oxygen can help farmers to take necessary measures in advance to ensure the healthy growth of cultured spe...
Aquaculture Neural Networks, Computer Oxygen Algorithms
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Reproductive characteristics of the giant gurami sago strain ( Lacepède, 1801): basic knowledge for a future hatchery development strategy.

F1000Research Sep 15, 2021
The giant gourami sago strain ( Lacepède) has been approved in 2018 as a candidate for freshwater aquaculture in Indonesia. However, information on the species' reproduction is minimal. This study analyzed the reproductive characteristics of the go...
Reproduction Spermatozoa Sperm Motility Edible Grain Female Male Fishes Animals Aquaculture
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Vision-based egg quality prediction in Pacific bluefin tuna (Thunnus orientalis) by deep neural network.

Scientific reports Jan 12, 2021
Closed-cycle aquaculture using hatchery produced seed stocks is vital to the sustainability of endangered species such as Pacific bluefin tuna (Thunnus orientalis) because this aquaculture system does not depend on aquaculture seeds collected from th...
Humans Aquaculture Ovum Quality Control Tuna Larva Image Processing, Computer-Assisted Neural Networks, Computer Animals
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Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish.

Sensors (Basel, Switzerland) Aug 8, 2020
Ammonia can be produced by the respiration and excretion of fish during the farming process, which can affect the life of fish. In this paper, to research the behavior of fish under different ammonia concentration and make the corresponding judgment ...
Deep Learning Aquaculture Animals Ammonia Fishes Behavior, Animal Respiration
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