Publications of Jana Wäldchen

Rzanny, M.; Mäder, P.; Wittich, H. C.; Boho, D.; Wäldchen, J.: Opportunistic plant observations reveal spatial and temporal gradients in phenology. npj Biodiversity 3, 5 (2024)

Katal, N.; Rzanny, M.; Mäder, P.; Römermann, C.; Wittich, H. C.; Boho, D.; Musavi, T.; Wäldchen, J.: Bridging the gap: How to adopt opportunistic plant observations for phenology monitoring. Frontiers in Plant Science 14, 1150956 (2023)

Schneider, C.; Wäldchen, J.; Mäder, P.: Künstliche Intelligenz im Naturschutz. Natur und Landschaft 98 (6+7), pp. 304 - 311 (2023)

Milz, S.; Wäldchen, J.; Abouee, A.; Ravichandran, A. A.; Schall, P.; Hagen, C.; Borer, J.; Lewandowski, B.; Wittich, H.-C.; Mäder, P.: The HAInich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem. Scientific Data 10, 168 (2023)

Hodač, L.; Karbstein, K.; Tomasello, S.; Wäldchen, J.; Bradican, J. P.; Hörandl, E.: Geometric morphometric versus genomic patterns in a large polyploid plant species complex. Biology 12 (3), 418 (2023)

Wäldchen, J.; Wittich, H. C.; Rzanny, M.; Fritz, A.; Mäder, P.: Towards more effective identification keys: A study of people identifying plant species characters. People and Nature 4 (6), pp. 1603 - 1615 (2022)

van Klink, R.; August, T.; Bas, Y.; Bodesheim, P.; Bonn, A.; Fossøy, F.; Høye, T. T.; Jongejans, E.; Menz, M. H.M.; Miraldo, A. et al.; Roslin, T.; Roy, H. E.; Ruczyński, I.; Schigel, D.; Schäffler, L.; Sheard, J. K.; Svenningsen, C.; Tschan, G. F.; Wäldchen, J.; Zizka, V. M.A.; Åström, J.; Bowler, D. E.: Emerging technologies revolutionise insect ecology and monitoring. Trends in Ecology and Evolution 37 (10), pp. 872 - 885 (2022)

Katal, N.; Rzanny, M.; Mäder, P.; Wäldchen, J.: Deep learning in plant phenological research: A systematic literature review. Frontiers in Plant Science 13, 805738 (2022)

Rzanny, M.; Wittich, H. C.; Mäder, P.; Deggelmann, A.; Boho, D.; Wäldchen, J.: Image-based automated recognition of 31 Poaceae species: The most relevant perspectives. Frontiers in Plant Science 12, 804140 (2022)

Mahecha, M. D.; Rzanny, M.; Kraemer, G.; Mäder, P.; Seeland, M.; Wäldchen, J.: Crowd-sourced plant occurrence data provide a reliable description of macroecological gradients. Ecography 44 (8), pp. 1131 - 1142 (2021)

Pärtel, J.; Pärtel, M.; Wäldchen, J.: Plant image identification application demonstrates high accuracy in Northern Europe. AOB PLANTS 13 (4), plab050 (2021)

Mäder, P.; Boho, D.; Rzanny, M.; Seeland, M.; Wittich, H. C.; Deggelmann, A.; Wäldchen, J.: The Flora Incognita app – interactive plant species identfication. Methods in Ecology and Evolution 12 (7), pp. 1335 - 1342 (2021)

Boho, D.; Rzanny, M.; Wäldchen, J.; Nitsche, F.; Deggelmann, A.; Wittich, H.-C.; Seeland, M.; Mäder, P.: Flora Capture: a citizen science application for collecting structured plant observations. BMC Bioinformatics 21, 576 (2020)

Rzanny, M.; Mäder, P.; Deggelmann, A.; Chen, M.; Wäldchen, J.: Flowers, leaves or both? How to obtain suitable images for automated plant identification. Plant Methods 15, 77 (2019)

Seeland, M.; Rzanny, M.; Boho, D.; Wäldchen, J.; Mäder, P.: Image-based classification of plant genus and family for trained and untrained plant species. BMC Bioinformatics 20, 4 (2019)

Dunker, S.; Boho, D.; Wäldchen, J.; Mäder, P.: Combining high‑throughput imaging flow cytometry and deep learning for efficient species and life‑cycle stage identification of phytoplankton. BMC Ecology 18, 51 (2018)

Wäldchen, J.; Mäder, P.: Machine learning for image based species identification. Methods in Ecology and Evolution 9 (11), pp. 2216 - 2225 (2018)

Wittich, H. C.; Seeland, M.; Wäldchen, J.; Rzanny, M.; Mäder, P.: Recommending plant taxa for supporting on-site species identification. BMC Bioinformatics 19, 190 (2018)

Wäldchen, J.; Rzanny, M.; Seeland, M.; Mäder, P.: Automated plant species identification—Trends and future directions. PLoS Computational Biology 14 (4), e1005993 (2018)

Wäldchen, J.; Mäder, P.: Plant species identification using computer vision: A systematic literature review. Archives of Computational Methods in Engineering 25 (2), pp. 507 - 543 (2018)