Aerial identification of amazonian palms in high-density forest using deep learning

HIGHLIGHTS

• who: Willintong Marin et al. from the School of Engineering, Pontificia Universidad Javeriana Bogota, Cra, No40-62, Bogota, Colombia have published the paper: Aerial Identification of Amazonian Palms in High-Density Forest Using Deep Learning, in the Journal: Forests 2022, 13, 655. of /2022/
• what: The model was trained with 478 labeled palms using the in-field experiments were conducted in dense forests yielding a precision identification of 98%. The authors propose the integration of Mask R-CNN models for detecting Moriche palms in high-dense forests located at the Colombian Amazon region. Considering the . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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