Cargando…
Flora Capture: a citizen science application for collecting structured plant observations
BACKGROUND: Digital plant images are becoming increasingly important. First, given a large number of images deep learning algorithms can be trained to automatically identify plants. Second, structured image-based observations provide information about plant morphological characteristics. Finally in...
Autores principales: | Boho, David, Rzanny, Michael, Wäldchen, Jana, Nitsche, Fabian, Deggelmann, Alice, Wittich, Hans Christian, Seeland, Marco, Mäder, Patrick |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734824/ https://www.ncbi.nlm.nih.gov/pubmed/33317442 http://dx.doi.org/10.1186/s12859-020-03920-9 |
Ejemplares similares
-
Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives
por: Rzanny, Michael, et al.
Publicado: (2022) -
Image-based classification of plant genus and family for trained and untrained plant species
por: Seeland, Marco, et al.
Publicado: (2019) -
Flowers, leaves or both? How to obtain suitable images for automated plant identification
por: Rzanny, Michael, et al.
Publicado: (2019) -
Bridging the gap: how to adopt opportunistic plant observations for phenology monitoring
por: Katal, Negin, et al.
Publicado: (2023) -
Recommending plant taxa for supporting on-site species identification
por: Wittich, Hans Christian, et al.
Publicado: (2018)