Jana Wäldchen

发表

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

Patrick Mäder, Michael Rzanny, M. Seeland, 2017, PloS one.

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

Patrick Mäder, Michael Rzanny, Jana Wäldchen, 2019, Plant Methods.

Correction: Plant species classification using flower images—A comparative study of local feature representations

Patrick Mäder, Michael Rzanny, M. Seeland, 2017, PloS one.

Emerging technologies revolutionise insect ecology and monitoring.

Myles H. M. Menz, P. Bodesheim, T. Høye, 2022, Trends in ecology & evolution.

Towards more effective identification keys: A study of people identifying plant species characters

Hans Christian Wittich, Michael Rzanny, Jana Wäldchen, 2022, People and Nature.

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

Patrick Mäder, Jana Wäldchen, 2017, Archives of computational methods in engineering : state of the art reviews.

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

Patrick Mäder, Jana Wäldchen, David Boho, 2018, BMC ecology.

Automated plant species identification—Trends and future directions

Patrick Mäder, Jana Wäldchen, Marco Seeland, 2018, PLoS Comput. Biol..

Geometric Morphometric Versus Genomic Patterns in a Large Polyploid Plant Species Complex

Ladislav Hodač, E. Hörandl, Jana Wäldchen, 2023, Biology.

Machine learning for image based species identification

Patrick Mäder, Jana Wäldchen, Patrick Mäder, 2018, Methods in Ecology and Evolution.

Plant image identification application demonstrates high accuracy in Northern Europe

M. Pärtel, Jana Wäldchen, Jaak Pärtel, 2021, AoB PLANTS.

Ungulate browsing causes species loss in deciduous forests independent of community dynamics and silvicultural management in Central and Southeastern Europe

E. Schulze, G. Marin, N. Eisenhauer, 2014 .

Recommending plant taxa for supporting on-site species identification

Hans Christian Wittich, Patrick Mäder, Michael Rzanny, 2018, BMC Bioinformatics.

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

Hans Christian Wittich, Michael Rzanny, Jana Wäldchen, 2022, Frontiers in Plant Science.

Deep Learning in Plant Phenological Research: A Systematic Literature Review

Michael Rzanny, Jana Wäldchen, P. Mäder, 2022, Frontiers in Plant Science.

Estimation of clay content from easily measurable water content of air‐dried soil

I. Schöning, E. Schulze, M. Schrumpf, 2012 .

The HAInich: A multidisciplinary vision data-set for a better understanding of the forest ecosystem

P. Schall, Jana Wäldchen, Stefan Milz, 2023, Scientific Data.

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

Patrick Mäder, Michael Rzanny, Jana Wäldchen, 2019, Plant methods.

Recommending plant taxa for supporting on-site species identification

Patrick Mäder, Jana Wäldchen, Marco Seeland, 2018, BMC Bioinformatics.

Midterm Results of 58 Fractures of the Coronoid Process of the Ulna and their Concomitant Injuries

A. Schulz, C. Jürgens, Jana Wäldchen, 2013, The open orthopaedics journal.

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

Patrick Mäder, Jana Wäldchen, Patrick Mäder, 2017, Archives of Computational Methods in Engineering.

The Flora Incognita app – Interactive plant species identification

Michael Rzanny, M. Seeland, Jana Wäldchen, 2021, Methods in Ecology and Evolution.

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

Patrick Mäder, Jana Wäldchen, Marco Seeland, 2019, BMC Bioinformatics.

Crowd‐sourced plant occurrence data provide a reliable description of macroecological gradients

Patrick Mäder, M. Mahecha, Michael Rzanny, 2021, Ecography.

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

Patrick Mäder, Jana Wäldchen, Marco Seeland, 2017, Plant Methods.

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

Jana Wäldchen, Marco Seeland, Michael Rzanny, 2020, BMC Bioinform..

Sustainable forest management of Natura 2000 sites: a case study from a private forest in the Romanian Southern Carpathians

E. Schulze, W. Schulze, O. Bouriaud, 2013 .

Der Einfluss politischer, rechtlicher und wirtschaftlicher Rahmenbedingungen des 19. Jahrhunderts auf die Bewirtschaftung der Wälder im Hainich-Dün-Gebiet (Nordthüringen)

E. Schulze, Jana Wäldchen, M. Mund, 2011 .

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

Patrick Mäder, Michael Rzanny, M. Seeland, 2019, BMC Bioinformatics.

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

Patrick Mäder, Michael Rzanny, M. Seeland, 2017, Plant Methods.

The influence of changes in forest management over the past 200 years on present soil organic carbon stocks

I. Schöning, E. Schulze, M. Schrumpf, 2013 .

Flora Incognita – wie künstliche Intelligenz die Pflanzenbestimmung revolutioniert

Patrick Mäder, Patrick Mäder, Jana Wäldchen, 2019, Biologie in unserer Zeit.

Die Buche. Eine Kultur‐ und Wirtschaftsgeschichte

E. Schulze, Jana Wäldchen, Dominik Hessenmöller, 2010 .

Flora Incognita – Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone

Patrick Mäder, Martin Hofmann, Patrick Mäder, 2016 .

Forest management in the Hainich Dün region (northern Thuringia) during the 19th century under political, juridical and economic changes.

E. Schulze, M. Mund, Jana Wäldchen, 2011 .