AIMC Topic: Climate

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Exploring the spatiotemporal influence of climate on American avian migration with random forests.

Scientific reports Jul 1, 2025
Birds have adapted to climatic and ecological cycles to inform their Spring and Fall migration timings, but anthropogenic global warming has affected these long-establish cycles. Understanding these dynamics is critical for conservation during a chan...
Animals Birds Spatio-Temporal Analysis Machine Learning Climate Change Climate Animal Migration Random Forest Forests Seasons
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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques.

Scientific reports May 24, 2025
Wheat plays a vital role in Pakistan's economy and food security, making accurate yield forecasting essential for planning and resource management. Traditional approaches-such as manual field surveys and remote sensing-have been widely used, but thei...
Climate Satellite Imagery Deep Learning Agriculture Remote Sensing Technology Triticum Pakistan Crops, Agricultural Machine Learning Forecasting
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Forecasting malaria cases using climate variability in Sierra Leone.

Malaria journal May 20, 2025
BACKGROUND: Malaria continues to pose a public health challenge in Sierra Leone, where timely and accurate forecasting can guide more effective interventions. Although seasonal models such as Seasonal Autoregressive Integrated Moving Average (SARIMA)...
Forecasting Incidence Models, Statistical Humans Neural Networks, Computer Sierra Leone Malaria Seasons Climate
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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 ...
Bangladesh Droughts Climate Change Agriculture Food Security Crops, Agricultural Environmental Monitoring Climate
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Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques.

Parasites & vectors Mar 15, 2025
BACKGROUND: Mosquito-borne diseases cause millions of deaths each year and are increasingly spreading from tropical and subtropical regions into temperate zones, posing significant public health risks. In the Basque Country region of Spain, changing ...
Climate Aedes Spain Mosquito Vectors Dengue Introduced Species Animals Weather Seasons Forecasting Temperature Machine Learning
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Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects.

BMC public health Mar 12, 2025
BACKGROUND: Dengue fever is a mosquito-borne viral disease that poses significant health risks and socioeconomic challenges in Brazil, necessitating accurate forecasting across its 27 federal states. With the country's diverse climate and geographica...
Brazil Spatial Analysis Climate Humans Neural Networks, Computer Forecasting Dengue
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Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms.

Ticks and tick-borne diseases Jan 23, 2025
The interplay of biotic and abiotic factors driving Ixodes ricinus abundance trends are not fully understood. Machine learning (ML) approaches are being increasingly used to explore this and predict future abundance patterns of this species, however,...
Ixodes Algorithms Europe Machine Learning Animals Climate Ecosystem Population Density
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Exploring the impact of natural and human activities on vegetation changes: An integrated analysis framework based on trend analysis and machine learning.

Journal of environmental management Jan 17, 2025
Climate, human activities and terrain are crucial factors influencing vegetation changes. Despite their crucial role, there is a notable lack of research exploring the nonlinear relationships between them and vegetation changes, especially over exten...
China Plants Climate Human Activities Urbanization Pattern Analysis, Machine Humans Machine Learning
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Understanding the spread of agriculture in the Western Mediterranean (6th-3rd millennia BC) with Machine Learning tools.

Nature communications Jan 15, 2025
The first Neolithic farmers arrived in the Western Mediterranean area from the East. They established settlements in coastal areas and over time migrated to new environments, adapting to changing ecological and climatic conditions. While farming prac...
Mediterranean Region History, Ancient Human Migration Archaeology Humans Climate Change Radiometric Dating Machine Learning Crops, Agricultural Agriculture Climate
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Deciphering the climate-malaria nexus: A machine learning approach in rural southeastern Tanzania.

Public health Dec 6, 2024
OBJECTIVES: Malaria remains a critical public health challenge, especially in regions like southeastern Tanzania. Understanding the intricate relationship between environmental factors and malaria incidence is essential for effective control and elim...
Malaria Humans Seasons Machine Learning Climate Tanzania Incidence Temperature Rain Cohort Studies Rural Population
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