"Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest ..."

Lucas Prado Osco et al. (2019)

> Home

Details and statistics

DOI: 10.3390/RS11242925

access: open

type: Journal Article

metadata version: 2022-08-16

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/OscoRPMIMESJGLL19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/OscoRPMIMESJGLL19
Lucas Prado Osco, Ana Paula Marques Ramos, Danillo Roberto Pereira, Érika Akemi Saito Moriya, Nilton Nobuhiro Imai, Edson Takashi Matsubara, Nayara V. Estrabis, Maurício de Souza, José Marcato Junior, Wesley Nunes Gonçalves, Jonathan Li, Veraldo Liesenberg, José Eduardo Creste:
Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery. Remote. Sens. 11(24): 2925 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.