Evaluation of convolutional neural networks for herbicide susceptibility-based weed detection in turf

HIGHLIGHTS

  • who: Xiaojun Jin and collaborators from the Taif University, Saudi Arabia have published the research: Evaluation of convolutional neural networks for herbicide susceptibility-based weed detection in turf, in the Journal: (JOURNAL)
  • what: The aims of this paper were to investigate the feasibility of utilizing deep learning for herbicide susceptibility-based weed detection in bermudagrass turf, and 2) evaluate and compare the performance of different convolutional neural_networks for distinguishing individual weed species. This research demonstrated the reliability and effectiveness of using convolutional neural_networks to detect and distinguish weeds growing in bermudagrass turf based on their . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?