AIMC Topic: Climate Change

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How monitoring crops and drought, combined with climate projections, enhances food security: Insights from the Northwestern regions of Bangladesh.

Environmental monitoring and assessment Mar 19, 2025
Crop and drought monitoring are vital for sustainable agriculture, as they ensure optimal crop growth, identify stress factors, and enhance productivity, all of which contribute to food security. However, climate projections are equally important as ...
Climate Climate Change Crops, Agricultural Bangladesh Agriculture Environmental Monitoring Droughts Food Security
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Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing.

PloS one Mar 19, 2025
Climate change is projected to adversely affect agriculture worldwide. This requires farmers to adapt incrementally already early in the twenty-first century, and to pursue transformational adaptation to endure future climate-induced damages. Many ar...
Natural Language Processing Climate Change Humans Agriculture Farmers Adaptation, Physiological
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Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods.

Scientific reports Mar 10, 2025
Climate change and environmental degradation pose a significant threat to the global community. Soil management is one of the critical factors for achieving climate neutrality, as plants and soils together currently absorb approximately 30% of the CO...
Greece Olea Climate Change Unsupervised Machine Learning Principal Component Analysis Agriculture Cluster Analysis Soil
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Interconnections, trend analysis and forecasting of water-air temperature with water level dynamics in Blue Moon Lake Valley: A statistical and machine learning approach.

Journal of environmental management Mar 8, 2025
Glacier-fed lakes serve as vital indicators of climate change, yet their temperature and water level dynamics are insufficiently studied, particularly in high-altitude basins. Examining these interactions is fundamental for the effective management o...
Forecasting Temperature Machine Learning Climate Change Pattern Analysis, Machine Lakes Water
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Leveraging ML to predict climate change impact on rice crop disease in Eastern India.

Environmental monitoring and assessment Mar 8, 2025
Rice crop disease is critical in precision agriculture due to various influencing components and unstable environments. The current study uses machine learning (ML) models to predict rice crop disease in Eastern India based on biophysical factors for...
Crops, Agricultural Plant Diseases Oryza Climate Change Machine Learning India Agriculture Environmental Monitoring
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Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system.

Journal of environmental management Mar 7, 2025
The escalating impacts of climate change have intensified extreme rainfall events, placing urban drainage systems under unprecedented pressure and increasing flood risks. Addressing these challenges requires advanced flood mitigation strategies, opti...
Climate Change Floods Cities Taiwan Rain Neural Networks, Computer Forecasting Deep Learning
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Climate Sustainability through AI-Crypto Synergies and Energy Transition in the Digital Landscape to Cut 0.7 GtCOe by 2030.

Environmental science & technology Feb 19, 2025
The rapid expansion of artificial intelligence (AI)-enabled systems and cryptocurrency mining poses significant challenges to climate sustainability due to energy-intensive operations relying on fossil-powered grids. This work investigates the strate...
Climate Change Renewable Energy Artificial Intelligence Carbon Dioxide
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Hybrid deep learning downscaling of GCMs for climate impact assessment and future projections in Oman.

Journal of environmental management Feb 15, 2025
Accurate downscaling of global circulation models (GCMs) is critical for assessing the impacts of climate change and water resources management. In this research, Fourteen GCMs were evaluated through a Taylor diagram, including EC-Earth3-CC, ACCESS-C...
Oman Deep Learning Climate Change
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Identifying the combined impact of human activities and natural factors on China's avian species richness using interpretable machine learning methods.

Journal of environmental management Feb 15, 2025
With human activities-derived escalating climate change and rapid urbanization, avian species face significant survival challenges. Understanding the impact of human activities and environmental drivers on avian species richness is critical for effec...
Humans Machine Learning Animals Conservation of Natural Resources Biodiversity Human Activities Birds Climate Change China
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Climate change and cardiovascular risk.

Current opinion in cardiology Feb 12, 2025
PURPOSE OF REVIEW: This review explores the complex relationship between climate change and cardiovascular health. It examines the mechanisms through which climate change impacts cardiovascular risk, highlights recent findings on regional trends, and...
Cardiovascular Diseases Air Pollution Climate Change Humans Risk Factors
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