Low-cost open-source recorders and ready-to-use machine learning approaches provide effective monitoring of threatened species

  1. Manzano-Rubio, R.
  2. Bota, G.
  3. Brotons, L.
  4. Soto-Largo, E.
  5. Pérez-Granados, C.
Aldizkaria:
Ecological Informatics

ISSN: 1574-9541

Argitalpen urtea: 2022

Alea: 72

Mota: Artikulua

DOI: 10.1016/J.ECOINF.2022.101910 GOOGLE SCHOLAR lock_openSarbide irekia editor
Datuen iturria: Scopus