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A data science challenge for converting airborne remote sensing data into ecological information
Ecology has reached the point where data science competitions, in which multiple groups solve the same problem using the same data by different methods, will be productive for advancing quantitative methods for tasks such as species identification from remote sensing images. We ran a competition to...
Autores principales: | Marconi, Sergio, Graves, Sarah J., Gong, Dihong, Nia, Morteza Shahriari, Le Bras, Marion, Dorr, Bonnie J., Fontana, Peter, Gearhart, Justin, Greenberg, Craig, Harris, Dave J., Kumar, Sugumar Arvind, Nishant, Agarwal, Prarabdh, Joshi, Rege, Sundeep U., Bohlman, Stephanie Ann, White, Ethan P., Wang, Daisy Zhe |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6397763/ https://www.ncbi.nlm.nih.gov/pubmed/30842892 http://dx.doi.org/10.7717/peerj.5843 |
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