Zobrazeno 1 - 10
of 13
pro vyhledávání: '"David Boho"'
Publikováno v:
npj Biodiversity, Vol 3, Iss 1, Pp 1-8 (2024)
Abstract Opportunistic plant records provide a rapidly growing source of spatiotemporal plant observation data. Here, we used such data to explore the question whether they can be used to detect changes in species phenologies. Examining 19 herbaceous
Externí odkaz:
https://doaj.org/article/1e8fa2eb7dbb4cab96f5faf73e5bb050
Autor:
Negin Katal, Michael Rzanny, Patrick Mäder, Christine Römermann, Hans Christian Wittich, David Boho, Talie Musavi, Jana Wäldchen
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Plant phenology plays a vital role in assessing climate change. To monitor this, individual plants are traditionally visited and observed by trained volunteers organized in national or international networks - in Germany, for example, by the German W
Externí odkaz:
https://doaj.org/article/cf7a657b3a7c4a939c88de773e644207
Autor:
David Boho, Michael Rzanny, Jana Wäldchen, Fabian Nitsche, Alice Deggelmann, Hans Christian Wittich, Marco Seeland, Patrick Mäder
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-11 (2020)
Abstract 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 informat
Externí odkaz:
https://doaj.org/article/729818fc88f742f1954b1c74cdcd18aa
Autor:
Michael Rzanny, Hans Christian Wittich, Patrick Mäder, Alice Deggelmann, David Boho, Jana Wäldchen
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
Poaceae represent one of the largest plant families in the world. Many species are of great economic importance as food and forage plants while others represent important weeds in agriculture. Although a large number of studies currently address the
Externí odkaz:
https://doaj.org/article/fb86273f71f844e6b6fce922cb37a189
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract Background Modern plant taxonomy reflects phylogenetic relationships among taxa based on proposed morphological and genetic similarities. However, taxonomical relation is not necessarily reflected by close overall resemblance, but rather by
Externí odkaz:
https://doaj.org/article/fa016f4c4be3492aa99998fa75536b38
Publikováno v:
BMC Ecology, Vol 18, Iss 1, Pp 1-15 (2018)
Abstract Background Phytoplankton species identification and counting is a crucial step of water quality assessment. Especially drinking water reservoirs, bathing and ballast water need to be regularly monitored for harmful species. In times of multi
Externí odkaz:
https://doaj.org/article/8eb6cbf004014de696c7fb9e58ddf11b
Autor:
Patrick Mäder, Michael Rzanny, David Boho, Jana Wäldchen, Marco Seeland, Hans Christian Wittich, Alice Deggelmann
Publikováno v:
Methods in Ecology and Evolution
Autor:
Thomas Hornick, Demetra Rakosy, David Boho, Patrick Mäder, Elena Motivans, Susanne Dunker, Tiffany M. Knight
Publikováno v:
New Phytologist. 229:593-606
Pollen identification and quantification are crucial but challenging tasks in addressing a variety of evolutionary and ecological questions (pollination, paleobotany), but also for other fields of research (e.g. allergology, honey analysis or forensi
Autor:
Jana Wäldchen, Marco Seeland, Fabian Nitsche, Alice Deggelmann, David Boho, Hans Christian Wittich, Patrick Mäder, Michael Rzanny
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-11 (2020)
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-11 (2020)
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