Wäldchen J - Search Results

1

Automated plant species identification-Trends and future directions.

Wäldchen J, Rzanny M, Seeland M, Mäder P. Wäldchen J, et al. PLoS Comput Biol. 2018 Apr 5;14(4):e1005993. doi: 10.1371/journal.pcbi.1005993. eCollection 2018 Apr. PLoS Comput Biol. 2018. PMID: 29621236 Free PMC article. Review.

2

Plant species classification using flower images-A comparative study of local feature representations.

Seeland M, Rzanny M, Alaqraa N, Wäldchen J, Mäder P. Seeland M, et al. Among authors: waldchen j. PLoS One. 2017 Feb 24;12(2):e0170629. doi: 10.1371/journal.pone.0170629. eCollection 2017. PLoS One. 2017. PMID: 28234999 Free PMC article.

3

Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain.

Rzanny M, Seeland M, Wäldchen J, Mäder P. Rzanny M, et al. Among authors: waldchen j. Plant Methods. 2017 Nov 8;13:97. doi: 10.1186/s13007-017-0245-8. eCollection 2017. Plant Methods. 2017. PMID: 29151843 Free PMC article.

4

Recommending plant taxa for supporting on-site species identification.

Wittich HC, Seeland M, Wäldchen J, Rzanny M, Mäder P. Wittich HC, et al. Among authors: waldchen j. BMC Bioinformatics. 2018 May 30;19(1):190. doi: 10.1186/s12859-018-2201-7. BMC Bioinformatics. 2018. PMID: 29843588 Free PMC article.

5

Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review.

Wäldchen J, Mäder P. Wäldchen J, et al. Arch Comput Methods Eng. 2018;25(2):507-543. doi: 10.1007/s11831-016-9206-z. Epub 2017 Jan 7. Arch Comput Methods Eng. 2018. PMID: 29962832 Free PMC article.

6

Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton.

Dunker S, Boho D, Wäldchen J, Mäder P. Dunker S, et al. Among authors: waldchen j. BMC Ecol. 2018 Dec 3;18(1):51. doi: 10.1186/s12898-018-0209-5. BMC Ecol. 2018. PMID: 30509239 Free PMC article.

7

Image-based classification of plant genus and family for trained and untrained plant species.

Seeland M, Rzanny M, Boho D, Wäldchen J, Mäder P. Seeland M, et al. Among authors: waldchen j. BMC Bioinformatics. 2019 Jan 3;20(1):4. doi: 10.1186/s12859-018-2474-x. BMC Bioinformatics. 2019. PMID: 30606100 Free PMC article.

8

Flowers, leaves or both? How to obtain suitable images for automated plant identification.

Rzanny M, Mäder P, Deggelmann A, Chen M, Wäldchen J. Rzanny M, et al. Among authors: waldchen j. Plant Methods. 2019 Jul 23;15:77. doi: 10.1186/s13007-019-0462-4. eCollection 2019. Plant Methods. 2019. PMID: 31367223 Free PMC article.

9

Flora Capture: a citizen science application for collecting structured plant observations.

Boho D, Rzanny M, Wäldchen J, Nitsche F, Deggelmann A, Wittich HC, Seeland M, Mäder P. Boho D, et al. Among authors: waldchen j. BMC Bioinformatics. 2020 Dec 14;21(1):576. doi: 10.1186/s12859-020-03920-9. BMC Bioinformatics. 2020. PMID: 33317442 Free PMC article.

10

Image-Based Automated Recognition of 31 Poaceae Species: The Most Relevant Perspectives.

Rzanny M, Wittich HC, Mäder P, Deggelmann A, Boho D, Wäldchen J. Rzanny M, et al. Among authors: waldchen j. Front Plant Sci. 2022 Jan 26;12:804140. doi: 10.3389/fpls.2021.804140. eCollection 2021. Front Plant Sci. 2022. PMID: 35154194 Free PMC article.

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