Cargando…
Lights, Camera…Citizen Science: Assessing the Effectiveness of Smartphone-Based Video Training in Invasive Plant Identification
The rapid growth and increasing popularity of smartphone technology is putting sophisticated data-collection tools in the hands of more and more citizens. This has exciting implications for the expanding field of citizen science. With smartphone-based applications (apps), it is now increasingly prac...
Autores principales: | Starr, Jared, Schweik, Charles M., Bush, Nathan, Fletcher, Lena, Finn, Jack, Fish, Jennifer, Bargeron, Charles T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221027/ https://www.ncbi.nlm.nih.gov/pubmed/25372597 http://dx.doi.org/10.1371/journal.pone.0111433 |
Ejemplares similares
-
Camera settings and biome influence the accuracy of citizen science approaches to camera trap image classification
por: Egna, Nicole, et al.
Publicado: (2020) -
Smartphones and Video Cameras: Future Methods for Blood Pressure Measurement
por: Steinman, Joe, et al.
Publicado: (2021) -
Innovations in Camera Trapping Technology and Approaches: The Integration of Citizen Science and Artificial Intelligence
por: Green, Siân E., et al.
Publicado: (2020) -
Citizen science for environmental citizenship
por: Jørgensen, Finn Arne, et al.
Publicado: (2020) -
Citizen Science: Benefitting Science and Citizens
por: Land-Zandstra, Anne
Publicado: (2018)