AIMC Topic: Fisheries

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Attention-enhanced and integrated deep learning approach for fishing vessel classification based on multiple features.

Scientific reports Mar 13, 2025
Effective fisheries management is the key to achieve sustainable fisheries globally, while accurate monitoring of fishing vessels is essential to improve the effectiveness of management measures. Self-reported information on vessel types is often lim...
Deep Learning Fishes Fisheries Neural Networks, Computer Animals
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Do China's ecological civilization advance demonstration zones inhibit fisheries' carbon emission intensity? A quasi-natural experiment using double machine learning and spatial difference-in-differences.

Journal of environmental management Oct 3, 2024
China's National Ecological Civilization Demonstration Zone (NECDZ) policy has a significant role in ensuring national ecological security, and it is essential to investigate how the NECDZ policy affects the carbon emissions intensity of fisheries (C...
Ecology Machine Learning Conservation of Natural Resources Fisheries Civilization China Carbon
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Enzymes from Fishery and Aquaculture Waste: Research Trends in the Era of Artificial Intelligence and Circular Bio-Economy.

Marine drugs Sep 10, 2024
In the era of the blue bio-economy, which promotes the sustainable utilization and exploitation of marine resources for economic growth and development, the fisheries and aquaculture industries still face huge sustainability issues. One of the major ...
Aquaculture Aquatic Organisms Industrial Waste Humans Artificial Intelligence Animals Enzymes Fisheries
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Leveraging deep learning and computer vision technologies to enhance management of coastal fisheries in the Pacific region.

Scientific reports Sep 8, 2024
This paper presents the design and development of a coastal fisheries monitoring system that harnesses artificial intelligence technologies. Application of the system across the Pacific region promises to revolutionize coastal fisheries management. T...
Deep Learning Fishes Conservation of Natural Resources Pacific Ocean Fisheries Artificial Intelligence Animals Ecosystem
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An Integrated Smart Pond Water Quality Monitoring and Fish Farming Recommendation Aquabot System.

Sensors (Basel, Switzerland) Jun 6, 2024
The integration of cutting-edge technologies such as the Internet of Things (IoT), robotics, and machine learning (ML) has the potential to significantly enhance the productivity and profitability of traditional fish farming. Farmers using traditiona...
Internet of Things Ponds Fisheries Fishes Water Quality Machine Learning Algorithms Animals Environmental Monitoring Support Vector Machine Aquaculture
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An affordable and easy-to-use tool for automatic fish length and weight estimation in mariculture.

Scientific reports Sep 19, 2022
Common aquaculture practices involve measuring fish biometrics at different growth stages, which is crucial for feeding regime management and for improving farmed fish welfare. Fish measurements are usually carried out manually on individual fish. Ho...
Linear Models Biometry Fisheries Image Processing, Computer-Assisted Fishes Artificial Intelligence Animals
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Machine learning for manually-measured water quality prediction in fish farming.

PloS one Aug 18, 2021
Monitoring variables such as dissolved oxygen, pH, and pond temperature is a key aspect of high-quality fish farming. Machine learning (ML) techniques have been proposed to model the dynamics of such variables to improve the fish farmer's decision-ma...
Water Quality Linear Models Ammonia Fisheries Water Oxygen Hydrogen-Ion Concentration Machine Learning Temperature
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Towards sustainable demersal fisheries: NepCon image acquisition system for automatic Nephrops norvegicus detection.

PloS one Jun 16, 2021
Underwater video monitoring systems are being widely used in fisheries to investigate fish behavior in relation to fishing gear and fishing gear performance during fishing. Such systems can be useful to evaluate the catch composition as well. In deme...
Algorithms Reproducibility of Results Conservation of Natural Resources Norway Fisheries Nephropidae Animals Robotics Population Dynamics Remote Sensing Technology Seafood
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Application of machine learning to identify predators of stocked fish in Lake Ontario: using acoustic telemetry predation tags to inform management.

Journal of fish biology Nov 3, 2020
Understanding predator-prey interactions and food web dynamics is important for ecosystem-based management in aquatic environments, as they experience increasing rates of human-induced changes, such as the addition and removal of fishes. To quantify ...
Fisheries Ontario Machine Learning Food Chain Animal Identification Systems Ecosystem Salmonidae Animals Predatory Behavior Trout Lakes Acoustics Telemetry
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A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis.

Scientific reports Sep 4, 2020
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale datasets. Ho...
Deep Learning Australia Fishes Animals Ecosystem Behavior, Animal Fisheries Ecological Parameter Monitoring
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