AIMC Topic: Conservation of Natural Resources

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Modeling the response of ecological service value to land use change through deep learning simulation in Lanzhou, China.

The Science of the total environment Jul 10, 2021
Land use (LU) changes caused by urbanization, climate, and anthropogenic activities alter the supply of ecosystem services (ES), which affects the ecological service value (ESV) of a given region. Existing LU simulation models extract neighborhood ef...
China Conservation of Natural Resources Urbanization Ecosystem Deep Learning
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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...
Fisheries Nephropidae Conservation of Natural Resources Norway Animals Robotics Remote Sensing Technology Seafood Population Dynamics Algorithms Reproducibility of Results
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Developing machine learning models for relative humidity prediction in air-based energy systems and environmental management applications.

Journal of environmental management May 13, 2021
The prediction of relative humidity is a challenging task because of its nonlinear nature. The machine learning-based prediction strategies have attained significant attention in tackling a broad class of challenging nonlinear and complex problems. T...
Data Mining Conservation of Natural Resources Humidity Machine Learning Algorithms
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Autonomous Marine Robot Based on AI Recognition for Permanent Surveillance in Marine Protected Areas.

Sensors (Basel, Switzerland) Apr 10, 2021
The world's oceans are one of the most valuable sources of biodiversity and resources on the planet, although there are areas where the marine ecosystem is threatened by human activities. Marine protected areas (MPAs) are distinctive spaces protected...
Ecosystem Robotics Biodiversity Humans Artificial Intelligence Conservation of Natural Resources Oceans and Seas
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Assessing the potential for deep learning and computer vision to identify bumble bee species from images.

Scientific reports Apr 7, 2021
Pollinators are undergoing a global decline. Although vital to pollinator conservation and ecological research, species-level identification is expensive, time consuming, and requires specialized taxonomic training. However, deep learning and compute...
Neural Networks, Computer Artificial Intelligence Databases, Factual Pollination Conservation of Natural Resources Pigmentation Deep Learning North America Animals Image Processing, Computer-Assisted Ecosystem Bees Species Specificity
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Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility.

Journal of environmental management Jan 28, 2021
The objective of this study is to assess the gully head-cut erosion susceptibility and identify gully erosion prone areas in the Meimand watershed, Iran. In recent years, this study area has been greatly influenced by several head-cut gullies due to ...
Machine Learning Soil Iran Conservation of Natural Resources Deep Learning Humans
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Automated conservation assessment of the orchid family with deep learning.

Conservation biology : the journal of the Society for Conservation Biology Nov 9, 2020
International Union for Conservation of Nature (IUCN) Red List assessments are essential for prioritizing conservation needs but are resource intensive and therefore available only for a fraction of global species richness. Automated conservation ass...
Biodiversity Endangered Species Orchidaceae Conservation of Natural Resources Extinction, Biological Madagascar Africa, Eastern Animals Asia, Southeastern Deep Learning
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The use of machine learning to detect foraging behaviour in whale sharks: a new tool in conservation.

Journal of fish biology Oct 27, 2020
In this study we present the first attempt at modelling the feeding behaviour of whale sharks using a machine learning analytical method. A total of eight sharks were monitored with tri-axial accelerometers and their foraging behaviours were visually...
Sharks Conservation of Natural Resources Feeding Behavior Machine Learning Animals
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Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method.

International journal of environmental research and public health Aug 11, 2020
To minimize losses caused by flooding of areas in a river basin, flood risk management may sacrifice the interests of some areas. Because of regional differences in natural and urban conditions, rankings of the urgencies of flood drainage rights allo...
Fuzzy Logic Risk Management Resource Allocation Rivers Humans Conservation of Natural Resources Cities Water Floods Models, Theoretical
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Mapping Atlantic rainforest degradation and regeneration history with indicator species using convolutional network.

PloS one Feb 28, 2020
The Atlantic rainforest of Brazil is one of the global terrestrial hotspots of biodiversity. Despite having undergone large scale deforestation, forest cover has shown signs of increases in the last decades. Here, to understand the degradation and re...
Conservation of Natural Resources Biodiversity Rainforest Neural Networks, Computer Species Specificity Trees Environmental Monitoring
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