AIMC Topic: Climate

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Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning.

Parasites & vectors Apr 15, 2020
BACKGROUND: Culicoides biting midges transmit viruses resulting in disease in ruminants and equids such as bluetongue, Schmallenberg disease and African horse sickness. In the past decades, these diseases have led to important economic losses for far...
Animals Ecosystem Farms Machine Learning Seasons Climate Insect Vectors Ceratopogonidae Models, Theoretical Europe Population Dynamics
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Towards a global understanding of the drivers of marine and terrestrial biodiversity.

PloS one Feb 5, 2020
Understanding the distribution of life's variety has driven naturalists and scientists for centuries, yet this has been constrained both by the available data and the models needed for their analysis. Here we compiled data for over 67,000 marine and ...
Climate Species Specificity Neural Networks, Computer Animals Ecosystem Biodiversity
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Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.

BMC bioinformatics Dec 24, 2019
BACKGROUND: The occurrence of cotton pests and diseases has always been an important factor affecting the total cotton production. Cotton has a great dependence on environmental factors during its growth, especially climate change. In recent years, m...
Neural Networks, Computer Humidity Gossypium Seasons Temperature Plant Diseases ROC Curve Climate Area Under Curve
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Emergency Department Capacity Planning: A Recurrent Neural Network and Simulation Approach.

Computational and mathematical methods in medicine Nov 15, 2019
Emergency departments (EDs) play a vital role in the whole healthcare system as they are the first point of care in hospitals for urgent and critically ill patients. Therefore, effective management of hospital's ED is crucial in improving the quality...
Algorithms Length of Stay Emergency Treatment Humans Turkey Computer Simulation Time Factors Bed Occupancy Reproducibility of Results Emergency Service, Hospital Neural Networks, Computer Climate Machine Learning Hospital Administration
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Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches.

BMC infectious diseases Nov 13, 2019
BACKGROUND: Recent reports of the National Ministry of Health and Treatment of Iran (NMHT) show that Gilan has a higher annual incidence rate of leptospirosis than other provinces across the country. Despite several efforts of the government and NMHT...
Neural Networks, Computer Incidence Agriculture Humans Linear Models Climate Spatial Regression Support Vector Machine Iran Leptospirosis
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Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning.

Geospatial health Nov 6, 2019
Early warning systems (EWS) have been proposed as a measure for controlling and preventing dengue fever outbreaks in countries where this infection is endemic. A vaccine is not available and has yet to reach the market due to the economic burden of d...
Climate Dengue Reproducibility of Results Risk Factors Disease Outbreaks Geographic Information Systems Spatio-Temporal Analysis Taiwan Humans Machine Learning Temperature
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Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches.

PloS one Oct 10, 2019
In this research, climate classification maps over the Korean Peninsula at 1 km resolution were generated using the satellite-based climatic variables of monthly temperature and precipitation based on machine learning approaches. Random forest (RF), ...
Machine Learning Republic of Korea Models, Theoretical Neural Networks, Computer Climate Calibration Geography
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Artificial intelligence reveals environmental constraints on colour diversity in insects.

Nature communications Oct 7, 2019
Explaining colour variation among animals at broad geographic scales remains challenging. Here we demonstrate how deep learning-a form of artificial intelligence-can reveal subtle but robust patterns of colour feature variation along an ecological gr...
Species Specificity Skin Pigmentation Moths Deep Learning Color Biodiversity Climate Temperature Altitude Genetic Variation Animals Artificial Intelligence Insecta Phylogeny
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Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration.

PloS one May 31, 2019
Accurately predicting reference evapotranspiration (ET0) with limited climatic data is crucial for irrigation scheduling design and agricultural water management. This study evaluated eight machine learning models in four categories, i.e. neuron-base...
Climate Agricultural Irrigation Humidity China Decision Trees Spatial Analysis Neural Networks, Computer Machine Learning Temperature
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Remote Control of Greenhouse Vegetable Production with Artificial Intelligence-Greenhouse Climate, Irrigation, and Crop Production.

Sensors (Basel, Switzerland) Apr 16, 2019
The global population is increasing rapidly, together with the demand for healthy fresh food. The greenhouse industry can play an important role, but encounters difficulties finding skilled staff to manage crop production. Artificial intelligence (AI...
Humans Artificial Intelligence Agriculture Carbon Dioxide Vegetables Climate Agricultural Irrigation Crop Production
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