BIO.dAI-Publikationen

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)

Bradican, J. P.; Tomasello, S.; Boscutti, F.; Karbstein, K.; Hörand, E.: Phylogenomics of southern european taxa in the Ranunculus auricomus species complex: The apple doesn’t fall far from the tree. Plants 12 (21), 3664 (2023)

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)

Karbstein, K.; Römermann, C.; Hellwig, F.; Prinz, K.: Population size affected by environmental variability impacts genetics, traits, and plant performance in Trifolium montanum L. Ecology and Evolution 13 (8), e10376 (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)

Karbstein, K.; Tomasello, S.; Hodac, L.; Wagner, N.; Marinček, P.; Barke, B. H.; Paetzold, C.; Hörandl, E.: Untying Gordian knots: unraveling reticulate polyploid plant evolution by genomic data using the large Ranunculus auricomus species complex. New Phytologist 235 (5), pp. 2081 - 2098 (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)

Schmid, B.; Schmitz, M.; Rzanny, M.; Scherer-Lorenzen, M.; Mwangi, P. N.; Weisser, W. W.; Hector, A.; Schmid, R.; Flynn, D. F. B.: Removing subordinate species in a biodiversity experiment to mimic observational field studies. Grassland Research 1 (1), pp. 53 - 62 (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)

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)

Rzanny, M.; Seeland, M.; Wäldchen, J.; Mäder, P.: Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain. Plant Methods 13, 97 (2017)

Seeland, M.; Rzanny, M.; Alaqraa, N.; Wäldchen, J.; Mäder, P.: Plant species classification using flower images—A comparative study of local feature representations. PLoS One 12 (2), e0170629 (2017)

Wäldchen, J.; Thuille, A.; Seeland, M.; Rzanny, M.; Schulze, E. D.; Boho, D.; Alaqraa, N.; Hofmann, M.; Mäder, P.: Flora Incognita – Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone. Landschaftspflege und Naturschutz in Thüringen 53 (3), pp. 121 - 125 (2016)

Seeland, M.; Rzanny, M.; Alaqraa, N.; Thuille, A.; Boho, D.; Wäldchen, J.; Mäder, P.: Description of flower colors for image based plant species classification. In: 22nd German Color Workshop (FWS), Ilmenau, Germany, pp. 145 - 154 (Ed. Franke, K.-H.). (2016)

Demchyk, V.: Darstellung von Biodiversität in Social Media anhand des Praxisbeispiels der Pflanzenbestimmungsapp „Flora Incognita“. Master, Friedrich Schiller University Jena, Jena (2023)