AIMC Topic: Climate

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Development and application of machine learning models for prediction of soil available cadmium based on soil properties and climate features.

Environmental pollution (Barking, Essex : 1987) May 10, 2024
Identifying the key influencing factors in soil available cadmium (Cd) is crucial for preventing the Cd accumulation in the food chain. However, current experimental methods and traditional prediction models for assessing available Cd are time-consum...
Climate Cadmium Climate Change China Environmental Monitoring Machine Learning Bayes Theorem Soil Soil Pollutants
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Interpretable baseflow segmentation and prediction based on numerical experiments and deep learning.

Journal of environmental management May 10, 2024
Baseflow is a crucial water source in the inland river basins of high-cold mountainous region, playing a significant role in maintaining runoff stability. It is challenging to select the most suitable baseflow separation method in data-scarce high-co...
Neural Networks, Computer Rivers Climate Deep Learning Models, Theoretical
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Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing.

International journal of biometeorology Mar 5, 2024
The Universal Thermal Climate Index (UTCI) is a thermal comfort index that describes how the human body experiences ambient conditions. It has units of temperature and considers physiological aspects of the human body. It takes into account the effec...
Forecasting Temperature Neural Networks, Computer Machine Learning Thermosensing Climate Wind Linear Models Humans Humidity Slovenia
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Innovative approach for predicting daily reference evapotranspiration using improved shallow and deep learning models in a coastal region: A comparative study.

Journal of environmental management Feb 14, 2024
Accurate and reliable estimation of Reference Evapotranspiration (ETo) is crucial for water resources management, hydrological processes, and agricultural production. The FAO-56 Penman-Monteith (FAO-56PM) approach is recommended as the standard model...
Wind Deep Learning Climate Neural Networks, Computer Temperature
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Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model.

Scientific reports Dec 28, 2023
Climatic factors influence malaria transmission via the effect on the Anopheles vector and Plasmodium parasite. Modelling and understanding the complex effects that climate has on malaria incidence can enable important early warning capabilities. Dee...
Climate Mosquito Vectors Animals Deep Learning Models, Statistical Malaria
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FDNet: An end-to-end fusion decomposition network for infrared and visible images.

PloS one Sep 18, 2023
Infrared and visible image fusion can generate a fusion image with clear texture and prominent goals under extreme conditions. This capability is important for all-day climate detection and other tasks. However, most existing fusion methods for extra...
Climate Neural Networks, Computer
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Is deeper always better? Evaluating deep learning models for yield forecasting with small data.

Environmental monitoring and assessment Sep 6, 2023
Predicting crop yields, and especially anomalously low yields, is of special importance for food insecure countries. In this study, we investigate a flexible deep learning approach to forecast crop yield at the provincial administrative level based o...
Algorithms Crops, Agricultural Deep Learning Climate Environmental Monitoring
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Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India.

Environmental science and pollution research international Apr 29, 2023
Supply of water is one of the most significant determinants of regional crop production and human food security. To promote sustainable management of agricultural water, the crop water requirement assessment (CropWRA) model was introduced as a tool f...
Crops, Agricultural Machine Learning Climate Water Supply Agriculture Water Remote Sensing Technology India
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A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN.

Environmental science and pollution research international Mar 1, 2023
Precipitation, as an important indicator describing the evolution of the regional climate system, plays an important role in understanding the spatial and temporal distribution characteristics of regional precipitation. Scientific and accurate predic...
Weather Climate Neural Networks, Computer Forecasting Rain Floods Droughts
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Evaluation of AquaCrop and intelligent models in predicting yield and biomass values of wheat.

International journal of biometeorology Feb 28, 2023
AquaCrop is one of the dynamic and user-friendly models for simulating different conditions governing plant growth in the field. But this model requires many input parameters such as plant information, soil, climate, groundwater, and management facto...
Neural Networks, Computer Algorithms Triticum Biomass Climate
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