Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Benjamin Koger"'
Autor:
Benjamin Koger, Edward Hurme, Blair R. Costelloe, M. Teague O'Mara, Martin Wikelski, Roland Kays, Dina K. N. Dechmann
Publikováno v:
Ecosphere, Vol 14, Iss 6, Pp n/a-n/a (2023)
Abstract Estimating animal populations is essential for conservation. Censusing large congregations is especially important since these are priorities for protection, but efficiently counting hundreds of thousands of moving animals remains a challeng
Externí odkaz:
https://doaj.org/article/a237422c1fed4ff0aa42fba9d9d87a71
Autor:
Jacob M Graving, Daniel Chae, Hemal Naik, Liang Li, Benjamin Koger, Blair R Costelloe, Iain D Couzin
Publikováno v:
eLife, Vol 8 (2019)
Quantitative behavioral measurements are important for answering questions across scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to
Externí odkaz:
https://doaj.org/article/4b6514878b1b4423892ec41d8c209980
Publikováno v:
Proceedings of the Royal Society B: Biological Sciences. 290
Form follows function throughout the development of an organism. This principle should apply beyond the organism to the nests they build, but empirical studies are lacking. Honeybees provide a uniquely suited system to study nest form and function th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::343d2f88cab35d2bea630e8b08dee64b
https://doi.org/10.1098/rspb.2022.2565
https://doi.org/10.1098/rspb.2022.2565
Autor:
Benjamin Koger, Adwait Deshpande, Jeffrey T. Kerby, Jacob M. Graving, Blair R. Costelloe, Iain D. Couzin
Publikováno v:
Koger, B, Deshpande, A, Kerby, J T, Graving, J M, Costelloe, B R & Couzin, I D 2023, ' Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision ', Journal of Animal Ecology, vol. 92, no. 7, pp. 1357-1371 . https://doi.org/10.1111/1365-2656.13904
Methods for collecting animal behavior data in natural environments, such as direct observation and bio-logging, are typically limited in spatiotemporal resolution, the number of animals that can be observed, and information about animals’ social a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::652cbf049b24e5816dbc43326d523c33
https://doi.org/10.1111/1365-2656.13904
https://doi.org/10.1111/1365-2656.13904
Autor:
Liang Li, Jacob M. Graving, Blair R. Costelloe, Hemal Naik, Benjamin Koger, Iain D. Couzin, Daniel Chae
Publikováno v:
eLife, Vol 8 (2019)
eLife
eLife
Quantitative behavioral measurements are important for answering questions across scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fb3f432899b88a528d4c183b4a7a263
https://elifesciences.org/articles/47994
https://elifesciences.org/articles/47994
