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Application of computer vision in assessing crop abiotic stress: A systematic review.

Nabil Anan OrkaFardeen Md ToushiqueM Nazim UddinM Latiful Bari
Published in: PloS one (2023)
Even though research on the domain is scarce, we encountered 11 abiotic stressors across 7 crops. Pre-trained networks dominate the field, yet many architectures remain unexplored. We found several research gaps that future efforts may fill.
Keyphrases
  • genome wide identification
  • climate change
  • arabidopsis thaliana
  • current status
  • resistance training
  • deep learning
  • quality improvement
  • stress induced
  • machine learning
  • body composition
  • high intensity