BIO.dAI-Publikationen
Latest PublicationsJournal Article (21)
1.
Journal Article
Bridging the gap: How to adopt opportunistic plant observations for phenology monitoring. Frontiers in Plant Science (accepted)
2.
Journal Article
13 (8), e10376 (2023)
Population size affected by environmental variability impacts genetics, traits, and plant performance in Trifolium montanum L. Ecology and Evolution 3.
Journal Article
4 (6), pp. 1603 - 1615 (2022)
Towards more effective identification keys: A study of people identifying plant species characters. People and Nature 4.
Journal Article
37 (10), pp. 872 - 885 (2022)
Emerging technologies revolutionise insect ecology and monitoring. Trends in Ecology and Evolution 5.
Journal Article
235 (5), pp. 2081 - 2098 (2022)
Untying Gordian knots: unraveling reticulate polyploid plant evolution by genomic data using the large Ranunculus auricomus species complex. New Phytologist 6.
Journal Article
13, 805738 (2022)
Deep learning in plant phenological research: A systematic literature review. Frontiers in Plant Science 7.
Journal Article
1 (1), pp. 53 - 62 (2022)
Removing subordinate species in a biodiversity experiment to mimic observational field studies. Grassland Research 8.
Journal Article
12, 804140 (2022)
Image-based automated recognition of 31 Poaceae species: The most relevant perspectives. Frontiers in Plant Science 9.
Journal Article
13 (4), plab050 (2021)
Plant image identification application demonstrates high accuracy in Northern Europe. AOB PLANTS 10.
Journal Article
12 (7), pp. 1335 - 1342 (2021)
The Flora Incognita app – interactive plant species identfication. Methods in Ecology and Evolution 11.
Journal Article
21, 576 (2020)
Flora Capture: a citizen science application for collecting structured plant observations. BMC Bioinformatics 12.
Journal Article
15, 77 (2019)
Flowers, leaves or both? How to obtain suitable images for automated plant identification. Plant Methods 13.
Journal Article
20, 4 (2019)
Image-based classification of plant genus and family for trained and untrained plant species. BMC Bioinformatics 14.
Journal Article
18, 51 (2018)
Combining high‑throughput imaging flow cytometry and deep learning for efficient species and life‑cycle stage identification of phytoplankton. BMC Ecology 15.
Journal Article
9 (11), pp. 2216 - 2225 (2018)
Machine learning for image based species identification. Methods in Ecology and Evolution 16.
Journal Article
19, 190 (2018)
Recommending plant taxa for supporting on-site species identification. BMC Bioinformatics 17.
Journal Article
14 (4), e1005993 (2018)
Automated plant species identification—Trends and future directions. PLoS Computational Biology 18.
Journal Article
25 (2), pp. 507 - 543 (2018)
Plant species identification using computer vision: A systematic literature review. Archives of Computational Methods in Engineering 19.
Journal Article
13, 97 (2017)
Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain. Plant Methods 20.
Journal Article
12 (2), e0170629 (2017)
Plant species classification using flower images—A comparative study of local feature representations. PLoS One 21.
Journal Article
53 (3), pp. 121 - 125 (2016)
Flora Incognita – Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone. Landschaftspflege und Naturschutz in Thüringen Conference Paper (1)
22.
Conference Paper
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)