AIMC Topic: Fisheries

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Advancing fishery dependent and independent habitat assessments using automated image analysis: A fisheries management agency case study.

PloS one Aug 6, 2025
Advances in artificial intelligence and machine learning have revolutionised data analysis, including in the field of marine and fisheries sciences. However, many fisheries agencies manage sensitive or proprietary data that cannot be shared externall...
Artificial Intelligence Machine Learning Animals Conservation of Natural Resources Western Australia Fisheries Ecosystem Image Processing, Computer-Assisted
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Neural network-based identification for scallops (Pecten maximus) in natural marine habitats.

PloS one Jul 28, 2025
The Great Atlantic scallop, or King scallop (Pecten maximus), ranks third in value after mackerel and Nephrops in UK fisheries. Its landings have surged over recent decades, making it the UK's fastest-growing fishery. Scallop stock assessments, cruci...
Neural Networks, Computer Fisheries Animals Pectinidae Video Recording Ecosystem Conservation of Natural Resources
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Little-to-no industrial fishing occurs in fully and highly protected marine areas.

Science (New York, N.Y.) Jul 24, 2025
There is a widespread perception that illegal fishing is common in marine protected areas (MPAs) due to strong incentives for poaching and the high cost of monitoring and enforcement. Using artificial intelligence and satellite-based Earth observatio...
Artificial Intelligence Animals Oceans and Seas Fisheries Fishes Conservation of Natural Resources
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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...
Neural Networks, Computer Animals Fisheries Deep Learning Fishes
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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...
Civilization Conservation of Natural Resources Fisheries Machine Learning Carbon Ecology China
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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 ...
Humans Enzymes Aquaculture Fisheries Artificial Intelligence Aquatic Organisms Animals Industrial Waste
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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...
Fisheries Conservation of Natural Resources Pacific Ocean Deep Learning Fishes Animals Artificial Intelligence 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...
Water Quality Internet of Things Fisheries Machine Learning Ponds Algorithms Aquaculture Animals Environmental Monitoring Fishes Support Vector Machine
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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...
Image Processing, Computer-Assisted Fishes Artificial Intelligence Biometry Linear Models Animals Fisheries
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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...
Hydrogen-Ion Concentration Ammonia Machine Learning Linear Models Water Quality Water Fisheries Temperature Oxygen
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