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Boosting the prediction accuracy of a process-based greenhouse climate-tomato production model by particle filtering and deep learning.

Xiaohan ZhouQingzhi LiuDavid KatzinTian QianEp HeuvelinkLeo F. M. Marcelis
Published in: Comput. Electron. Agric. (2023)
Keyphrases
  • prediction accuracy
  • deep learning
  • particle filter
  • ensemble methods
  • particle filtering
  • probabilistic model
  • visual tracking
  • segmentation method
  • object tracking
  • kalman filter
  • appearance model