Weed identification by single-stage and two-stage neural networks: a study on the impact of image resizers and weights optimization algorithms

HIGHLIGHTS

  • who: Khalid Mahmood Arif from the Department of Mechanical and Electrical Engineering, School of Food and Advanced Technology, University, Physiology, Germany have published the paper: Weed Identification by Single-Stage and Two-Stage Neural Networks: A Study on the Impact of Image Resizers and Weights Optimization Algorithms, in the Journal: (JOURNAL)
  • what: The major contributions of this study are: a novel DL-based methodology is presented to identify the weeds by analyzing and evaluating the performance of various single-stage and two-stage neural_networks; also, the effects of various image resizing techniques are discussed. The . . .

     

    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 ?