Jana Wäldchen
Jana Wäldchen
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Plant species identification using computer vision techniques: a systematic literature review
J Wäldchen, P Mäder
Archives of computational methods in engineering 25, 507-543, 2018
Machine learning for image based species identification
J Wäldchen, P Mäder
Methods in Ecology and Evolution 9 (11), 2216-2225, 2018
Automated plant species identification—Trends and future directions
J Wäldchen, M Rzanny, M Seeland, P Mäder
PLoS computational biology 14 (4), e1005993, 2018
Emerging technologies revolutionise insect ecology and monitoring
R Van Klink, T August, Y Bas, P Bodesheim, A Bonn, F Fossøy, TT Høye, ...
Trends in ecology & evolution 37 (10), 872-885, 2022
Plant species classification using flower images—A comparative study of local feature representations
M Seeland, M Rzanny, N Alaqraa, J Wäldchen, P Mäder
PloS one 12 (2), e0170629, 2017
The flora incognita app–interactive plant species identification
P Mäder, D Boho, M Rzanny, M Seeland, HC Wittich, A Deggelmann, ...
Methods in Ecology and Evolution 12 (7), 1335-1342, 2021
Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain
M Rzanny, M Seeland, J Wäldchen, P Mäder
Plant methods 13, 1-11, 2017
Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton
S Dunker, D Boho, J Wäldchen, P Mäder
BMC ecology 18, 1-15, 2018
Ungulate browsing causes species loss in deciduous forests independent of community dynamics and silvicultural management in Central and Southeastern Europe
ED Schulze, O Bouriaud, J Wäldchen, N Eisenhauer, H Walentowski, ...
Annals of Forest Research 57 (2), 267-288, 2014
Flowers, leaves or both? How to obtain suitable images for automated plant identification
M Rzanny, P Mäder, A Deggelmann, M Chen, J Wäldchen
Plant methods 15, 1-11, 2019
The influence of changes in forest management over the past 200 years on present soil organic carbon stocks
J Wäldchen, ED Schulze, I Schöning, M Schrumpf, C Sierra
Forest Ecology and Management 289, 243-254, 2013
Image-based classification of plant genus and family for trained and untrained plant species
M Seeland, M Rzanny, D Boho, J Wäldchen, P Mäder
BMC bioinformatics 20, 1-13, 2019
Estimation of clay content from easily measurable water content of air‐dried soil
J Wäldchen, I Schöning, M Mund, M Schrumpf, S Bock, N Herold, ...
Journal of Plant Nutrition and Soil Science 175 (3), 367-376, 2012
Deep learning in plant phenological research: A systematic literature review
N Katal, M Rzanny, P Mäder, J Wäldchen
Frontiers in Plant Science 13, 805738, 2022
Flora Capture: a citizen science application for collecting structured plant observations
D Boho, M Rzanny, J Wäldchen, F Nitsche, A Deggelmann, HC Wittich, ...
BMC bioinformatics 21, 1-11, 2020
Sustainable forest management of Natura 2000 sites: a case study from a private forest in the Romanian Southern Carpathians
H Walentowski, ED Schulze, M Teodosiu, O Bouriaud, A Von Heßberg, ...
Annals of Forest Research 56 (1), 217-245, 2013
Zur Diasporen-Keimfähigkeit von Segetalpflanzen
J Wäldchen, J Pusch, V Luthardt
Beiträge zur Forstwirtschaft und Landschaftsökologie 38, 145-156, 2005
Plant image identification application demonstrates high accuracy in Northern Europe
J Pärtel, M Pärtel, J Wäldchen
AoB Plants 13 (4), plab050, 2021
Recommending plant taxa for supporting on-site species identification
HC Wittich, M Seeland, J Wäldchen, M Rzanny, P Mäder
BMC bioinformatics 19, 1-17, 2018
Crowd‐sourced plant occurrence data provide a reliable description of macroecological gradients
MD Mahecha, M Rzanny, G Kraemer, P Mäder, M Seeland, J Wäldchen
Ecography 44 (8), 1131-1142, 2021
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Artículos 1–20