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Application of machine learning in understanding plant virus pathogenesis: trends and perspectives on emergence, diagnosis, host-virus interplay and management.

Dibyendu GhoshSrija ChakrabortyHariprasad KodamanaSupriya Chakraborty
Published in: Virology journal (2022)
Considering a significant progress in the application of machine learning in understanding plant virology, this review highlights an introductory note on machine learning and comprehensively discusses the trends and prospects of machine learning in the diagnosis of viral diseases, understanding host-virus interplay and emergence of plant viruses.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • cell wall
  • plant growth