Bag: a linear-nonlinear hybrid time series prediction model for soil moisture

HIGHLIGHTS

  • who: Guoying Wang and collaborators from the College of Mathematics and Computer Science, Zhejiang AandF University, Hangzhou, China have published the research: BAG: A Linear-Nonlinear Hybrid Time Series Prediction Model for Soil Moisture, in the Journal: Agriculture 2023, 379 of /2023/
  • what: The results of the experiments show that has higher prediction accuracy compared with other prediction models for different amounts of data and different numbers of environmental factors. The data in this study spanned from January 2010 to December 2010, and the data collection device measured every hour and took daily average records . . .

     

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