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.
Revue:
Ecological Informatics

ISSN: 1574-9541

Année de publication: 2022

Volumen: 72

Type: Article

DOI: 10.1016/J.ECOINF.2022.101910 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus