Machine Learning Model for Identifying Dutch/Belgian Biodiversity

The potential of citizen scientists to contribute to information about occurrences of species and other biodiversity questions is large because of the ubiquitous presence of organisms and friendly nature of the subject. Online platforms that collect observations of species from the public have existed for several years now. They have seen a rapid growth recently, partly due to the widespread availability of mobile phones. These online platforms, and many scientific studies as well, suffer from a taxonomic bias: the effect that certain species groups are overrepresented in the data (Troudet et... Mehr ...

Verfasser: Hogeweg, Laurens
Schermer, Maarten
Pieterse, Sander
Roeke, Timo
Gerritsen, Wilfred
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Verlag/Hrsg.: Pensoft Publishers
Schlagwörter: machine learning / deep learning / image recognition
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-27466186
Datenquelle: BASE; Originalkatalog
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Link(s) : https://zenodo.org/record/3485045