AIMC Topic: Fisheries

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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...
Animals Robotics Population Dynamics Algorithms Reproducibility of Results Norway Fisheries Nephropidae Remote Sensing Technology Seafood Conservation of Natural Resources
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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 ...
Machine Learning Trout Lakes Animals Acoustics Telemetry Ontario Ecosystem Food Chain Fisheries Salmonidae Predatory Behavior Animal Identification Systems
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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...
Fisheries Ecological Parameter Monitoring Australia Fishes Behavior, Animal Ecosystem Deep Learning Animals
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Eyes on our planet.

Current biology : CB Feb 6, 2018
Combining several satellite-based tracking technologies with big data methods and machine learning, fisheries experts can now efficiently monitor the entirety of the oceans and ensure that legal limits and protected areas are respected. Observing our...
Climate Conservation of Natural Resources Oceans and Seas Fisheries Meteorology Big Data Remote Sensing Technology Machine Learning Spacecraft
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Using fuzzy logic to determine the vulnerability of marine species to climate change.

Global change biology Sep 26, 2017
Marine species are being impacted by climate change and ocean acidification, although their level of vulnerability varies due to differences in species' sensitivity, adaptive capacity and exposure to climate hazards. Due to limited data on the biolog...
Fisheries Animals Climate Change Invertebrates Fuzzy Logic Species Specificity Models, Biological Hydrogen-Ion Concentration Biodiversity
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Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning.

PloS one Jul 1, 2016
A key challenge in contemporary ecology and conservation is the accurate tracking of the spatial distribution of various human impacts, such as fishing. While coastal fisheries in national waters are closely monitored in some countries, existing maps...
Fisheries Data Mining Machine Learning Spacecraft Animals Pattern Recognition, Automated
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Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources.

Science robotics Nov 25, 2020
Knowing the displacement capacity and mobility patterns of industrially exploited (i.e., fished) marine resources is key to establishing effective conservation management strategies in human-impacted marine ecosystems. Acquiring accurate behavioral i...
Equipment Design Acoustics Seafood Robotics Remote Sensing Technology Fisheries Nephropidae Conservation of Natural Resources Behavior, Animal Oceans and Seas Algorithms Computer Simulation Animals Ecosystem
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The case for technology investments in the environment.

Nature Dec 21, 2017
Humans Conservation of Natural Resources Organizations Algorithms Spatio-Temporal Analysis Investments Water Supply Forestry Technology Agriculture Earth, Planet Environment Fisheries Neural Networks, Computer Biodiversity Global Warming Artificial Intelligence Reproducibility of Results Software Animals
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