Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hans Christian Wittich"'
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
Publikováno v:
People and Nature, Vol 4, Iss 6, Pp 1603-1615 (2022)
Abstract Accurate species identification is essential for ecological monitoring and biodiversity conservation. Interactive plant identification keys have been considerably improved in recent years, mainly by providing iconic symbols, illustrations, o
Externí odkaz:
https://doaj.org/article/6efac3115b2442738853ea877cbe512a
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 19, Iss 1, Pp 1-17 (2018)
Abstract Background Predicting a list of plant taxa most likely to be observed at a given geographical location and time is useful for many scenarios in biodiversity informatics. Since efficient plant species identification is impeded mainly by the l
Externí odkaz:
https://doaj.org/article/ab050836d4334335aee2479cd63bc3db
Autor:
Patrick Mäder, Michael Rzanny, David Boho, Jana Wäldchen, Marco Seeland, Hans Christian Wittich, Alice Deggelmann
Publikováno v:
Methods in Ecology and Evolution
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
Autor:
Stefan Milz, Jana Wäldchen, Amin Abouee, Ashwanth A. Ravichandran, Peter Schall, Chris Hagen, John Borer, Benjamin Lewandowski, Hans-Christian Wittich, Patrick Mäder
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract We present a multidisciplinary forest ecosystem 3D perception dataset. The dataset was collected in the Hainich-Dün region in central Germany, which includes two dedicated areas, which are part of the Biodiversity Exploratories - a long ter
Externí odkaz:
https://doaj.org/article/24aa3996d62c4fac8b94d0ca22c99f9e