A deep semantic vegetation health monitoring platform for citizen science imaging data

HIGHLIGHTS

  • who: Asim Khan et al. from the The Institute for Sustainable Industries and Liveable Cities (ISILC), College of Engineering and Science, Victoria University, Melbourne, Australia, School of Computing and Mathematics, Charles Sturt University have published the research: A deep semantic vegetation health monitoring platform for citizen science imaging data, in the Journal: PLOS ONE of June/14,/2022
  • what: This work has solved a number of problems related to changes in viewpoint scale zoom and seasonal changes to normalise RGB image data collected from different image devices. The major focus remained on the classification of . . .

     

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