A global assessment of BirdNET performance: Differences among continents, biomes, and species
Recent advances in machine learning have accelerated automated species detection across diverse ecological domains, enabling large-scale, non-invasive monitoring of biodiversity. In ornithological research, the combination of passive acoustic monitoring (PAM) and rapidly-developing novel identificat...
Na minha lista:
| Principais autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2026-01-01
|
| Colecção: | Ecological Indicators |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1470160X25014827 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|
