AIMC Topic: Weather

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Development of multistage crop yield estimation model using machine learning and deep learning techniques.

International journal of biometeorology Dec 7, 2024
In this research paper, machine learning techniques were applied to a multivariate meteorological time series data for estimating the wheat yield of five districts of Punjab. Wheat yield data and weather parameters over 34 years were collected from t...
Neural Networks, Computer Machine Learning Deep Learning Triticum India Models, Theoretical Weather Crops, Agricultural
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Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022.

PloS one Sep 19, 2024
Forecasting the weather in an area characterized by erratic weather patterns and unpredictable climate change is a challenging endeavour. The weather is classified as a non-linear system since it is influenced by various factors that contribute to cl...
Humidity Decision Trees Weather Climate Change Bangladesh Data Mining Machine Learning Humans Forecasting Neural Networks, Computer
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Statistical and machine learning models for location-specific crop yield prediction using weather indices.

International journal of biometeorology Aug 31, 2024
Crop yield prediction gains growing importance for all stakeholders in agriculture. Since the growth and development of crops are fully connected with many weather factors, it is inevitable to incorporate meteorological information into yield predict...
Neural Networks, Computer Machine Learning Models, Statistical Crops, Agricultural Weather
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Artificial neural networks as a tool for seasonal forecast of attack intensity of Spodoptera spp. in Bt soybean.

International journal of biometeorology Aug 13, 2024
Soybean (Glycine max) is the world's most cultivated legume; currently, most of its varieties are Bt. Spodoptera spp. (Lepidoptera: Noctuidae) are important pests of soybean. An artificial neural network (ANN) is an artificial intelligence tool that ...
Plants, Genetically Modified Spodoptera Animals Larva Seasons Neural Networks, Computer Glycine max Forecasting Weather
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Recognition of aggressive driving behavior under abnormal weather based on Convolutional Neural Network and transfer learning.

Traffic injury prevention Jul 24, 2024
OBJECTIVES: Aggressive driving behavior can lead to potential traffic collision risks, and abnormal weather conditions can exacerbate this behavior. This study aims to develop recognition models for aggressive driving under various climate conditions...
Neural Networks, Computer Weather Machine Learning Humans Automobile Driving Adult Computer Simulation Aggression Male
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Short- and long-term weather prediction based on a hybrid of CEEMDAN, LMD, and ANN.

PloS one Jul 22, 2024
Agriculture is one of the major economic sectors in Africa, and it predominantly depends on the climate. However, extreme climate changes do have a negative impact on agricultural production. The damage resulting from extreme climate change can be mi...
Weather Climate Change Forecasting Agriculture Humans Neural Networks, Computer
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Enhancement of ANN-based wind power forecasting by modification of surface roughness parameterization over complex terrain.

Journal of environmental management May 31, 2024
Wind energy plays an important role in the sustainable energy transition towards a low-carbon society. Proper assessment of wind energy resources and accurate wind energy prediction are essential prerequisites for balancing electricity supply and dem...
Models, Theoretical Weather Forecasting Wind Neural Networks, Computer
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Comparative analysis of different Karnal bunt disease prediction models developed by machine learning techniques for Punjab conditions.

International journal of biometeorology May 28, 2024
Timely prediction of pathogen is important key factor to reduce the quality and yield losses. Wheat is major crop in northern part of India. In Punjab, wheat face challenge by different diseases so the study was conducted for two locations viz. Ludhi...
Machine Learning India Models, Theoretical Plant Diseases Triticum Weather
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Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.

International journal of biometeorology Apr 27, 2024
Cotton is a major economic crop predominantly cultivated under rainfed situations. The accurate prediction of cotton yield invariably helps farmers, industries, and policy makers. The final cotton yield is mostly determined by the weather patterns th...
Machine Learning Forecasting Neural Networks, Computer Weather Gossypium Models, Theoretical Rain Regression Analysis
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Unmasking the sky: high-resolution PM prediction in Texas using machine learning techniques.

Journal of exposure science & environmental epidemiology Apr 1, 2024
BACKGROUND: Although PM (fine particulate matter with an aerodynamic diameter less than 2.5 µm) is an air pollutant of great concern in Texas, limited regulatory monitors pose a significant challenge for decision-making and environmental studies.
Texas Satellite Imagery Weather Aerosols Air Pollution Particulate Matter Humans Machine Learning Particle Size Air Pollutants Environmental Monitoring
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