AIMC Topic: Fisheries

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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...
Remote Sensing Technology Spacecraft Big Data Oceans and Seas Fisheries Climate Conservation of Natural Resources Machine Learning Meteorology
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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...
Invertebrates Models, Biological Hydrogen-Ion Concentration Fuzzy Logic Species Specificity Fisheries Biodiversity Climate Change Animals
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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...
Spacecraft Pattern Recognition, Automated Fisheries Machine Learning Animals Data Mining
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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...
Seafood Conservation of Natural Resources Equipment Design Acoustics Fisheries Nephropidae Behavior, Animal Animals Oceans and Seas Ecosystem Algorithms Robotics Computer Simulation Remote Sensing Technology
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The case for technology investments in the environment.

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