Laplacian scores-based feature reduction in iot systems for agricultural monitoring and decision-making support

HIGHLIGHTS

  • who: Giorgos Tsapparellas et al. from the Department of Maritime and Mechanical Engineering, Liverpool John Moores University have published the research: Laplacian Scores-Based Feature Reduction in IoT Systems for Agricultural Monitoring and Decision-Making Support, in the Journal: (JOURNAL)
  • what: Data Reduction in IoT Monitoring To illustrate the feature reduction, the authors provide a sample scenario in a plant-monitoring context. The authors compare the classification outcomes of using the selected features from using Laplacian scores and of using the all sensor data. The research has demonstrated that the proposed feature reduction can significantly . . .

     

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