AIMC Topic: Ecosystem
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Towards efficient IoT communication for smart agriculture: A deep learning framework.
PloS one
Nov 21, 2024
The integration of IoT (Internet of Things) devices has emerged as a technical cornerstone in the landscape of modern agriculture, revolutionising the way farming practises are viewed and managed. Smart farming, enabled by interconnected sensors and ...
Understanding ecosystem services of detailed forest and wetland types using remote sensing and deep learning techniques in Northern China.
Journal of environmental management
Nov 20, 2024
Spanning both temperate and sub-frigid zones, Northeast China boasts typical boreal forests and abundant wetland resources. Because of these attributes, the region is critically significant for global climate regulation, carbon sequestration, and bio...
Robots and animals teaming up in the wild to tackle ecosystem challenges.
Science robotics
Nov 20, 2024
Interactively teaming up animals and robots could facilitate basic scientific research and address environmental and ecological crises.
A spatial machine learning approach to exploring the impacts of coal mining and ecological restoration on regional ecosystem health.
Environmental research
Nov 19, 2024
Ecosystem health is an important approach to measuring urban and regional sustainability. In previous studies, the spatiotemporal changes of ecosystem health have been addressed using comprehensive assessment index system. However, the quantitative c...
Uncovering global risk to human and ecosystem health from pesticides in agricultural surface water using a machine learning approach.
Environment international
Nov 19, 2024
Pesticides typically co-occur in agricultural surface waters and pose a potential threat to human and ecosystem health. As pesticide screening in global agricultural surface waters is an immense analytical challenge, a detailed risk picture of pestic...
Water environment risk prediction method based on convolutional neural network-random forest.
Marine pollution bulletin
Nov 13, 2024
The accelerated processes of urbanization and industrialization globally have resulted in an increased risk to aquatic environments, posing a significant threat to the sustainable management of water resources and the health of ecosystems. Accurate p...
Multi-temporal image analysis of wetland dynamics using machine learning algorithms.
Journal of environmental management
Nov 10, 2024
Wetlands play a crucial role in enhancing groundwater quality, mitigating natural hazards, controlling erosion, and providing essential habitats for unique flora and wildlife. Despite their significance, wetlands are facing decline in various global ...
Cooperative control of environmental extremes by artificial intelligent agents.
Journal of the Royal Society, Interface
Nov 6, 2024
Humans have been able to tackle biosphere complexities by acting as ecosystem engineers, profoundly changing the flows of matter, energy and information. This includes major innovations that allowed to reduce and control the impact of extreme events....
Forest Aboveground Biomass Estimation Based on Unmanned Aerial Vehicle-Light Detection and Ranging and Machine Learning.
Sensors (Basel, Switzerland)
Nov 2, 2024
is a widely planted species in plantation forests because of its outstanding characteristics, such as fast growth rate and high adaptability. Accurate and rapid prediction of biomass is important for plantation forest management and the prediction ...
Development of a method for estimating asari clam distribution by combining three-dimensional acoustic coring system and deep neural network.
Scientific reports
Nov 2, 2024
Developing non-contact, non-destructive monitoring methods for marine life is crucial for sustainable resource management. Recent monitoring technologies and machine learning analysis advancements have enhanced underwater image and acoustic data acqu...
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