Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Helge Aasen"'
Autor:
Jonas Anderegg, Norbert Kirchgessner, Helge Aasen, Olivia Zumsteg, Beat Keller, Radek Zenkl, Achim Walter, Andreas Hund
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Canopy temperature (CT) is often interpreted as representing leaf activity traits such as photosynthetic rates, gas exchange rates, or stomatal conductance. This interpretation is based on the observation that leaf activity traits correlate with tran
Externí odkaz:
https://doaj.org/article/c876667c8055400cbbcc29cae38368ca
Autor:
Eatidal Amin, Luca Pipia, Santiago Belda, Gregor Perich, Lukas Valentin Graf, Helge Aasen, Shari Van Wittenberghe, José Moreno, Jochem Verrelst
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103636- (2024)
Precise knowledge of cropland productivity is relevant for farmers to enable optimizing managing practices; particularly with the perspective of anticipating crop yield ahead of harvest. The current availability of high spatiotemporal resolution Sent
Externí odkaz:
https://doaj.org/article/a8bb85440b7f41fb9a8aa795e47f6f54
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8632-8654 (2023)
Time series of optical imagery allow one to derive land surface phenology metrics. These metrics are only complete with a statement about their uncertainty. A source of uncertainty is the radiometry of the sensor. We propagated radiometric uncertaint
Externí odkaz:
https://doaj.org/article/fb27f60aa53b477996545199ad22d04c
Autor:
Johannes Gallmann, Beatrice Schüpbach, Katja Jacot, Matthias Albrecht, Jonas Winizki, Norbert Kirchgessner, Helge Aasen
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
Manual assessment of flower abundance of different flowering plant species in grasslands is a time-consuming process. We present an automated approach to determine the flower abundance in grasslands from drone-based aerial images by using deep learni
Externí odkaz:
https://doaj.org/article/08080c72c8fe486497611752b08360fa
Autor:
Radek Zenkl, Radu Timofte, Norbert Kirchgessner, Lukas Roth, Andreas Hund, Luc Van Gool, Achim Walter, Helge Aasen
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
Robust and automated segmentation of leaves and other backgrounds is a core prerequisite of most approaches in high-throughput field phenotyping. So far, the possibilities of deep learning approaches for this purpose have not been explored adequately
Externí odkaz:
https://doaj.org/article/44196e1a9887437c94a170bb7ea74547
Autor:
Miriam Machwitz, Roland Pieruschka, Katja Berger, Martin Schlerf, Helge Aasen, Sven Fahrner, Jose Jiménez-Berni, Frédéric Baret, Uwe Rascher
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Externí odkaz:
https://doaj.org/article/a78a90abb0e14c14aa7536a32aa2c219
Publikováno v:
Plant Methods, Vol 14, Iss 1, Pp 1-21 (2018)
Abstract Background Driven by a huge improvement in automation, unmanned areal systems (UAS) are increasingly used for field observations and high-throughput phenotyping. Today, the bottleneck does not lie in the ability to fly a drone anymore, but r
Externí odkaz:
https://doaj.org/article/b6f4b8d9116448859a593deace752025
Autor:
Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kirchgessner, Helge Aasen, Andreas Hund, Pouria Sadhegi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benjamin Dumont, Benoit Mercatoris, Byron Evers, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lillemo, Jesse Poland, Scott Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo
Publikováno v:
Plant Phenomics, Vol 2021 (2021)
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various acquisition platforms and 7 countries/institutions. With an associated competition hosted in
Externí odkaz:
https://doaj.org/article/acd6363f47b04262b456b55f5e2a3ba9
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Grassland-based ruminant livestock production provides a sustainable alternative to intensive production systems relying on concentrated feeds. However, grassland-based roughage often lacks the energy content required to meet the productivity potenti
Externí odkaz:
https://doaj.org/article/8b3600f168224bfb8ff491a611d0dceb
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Understanding the interaction of plant growth with environmental conditions is crucial to increase the resilience of current cropping systems to a changing climate. Here, we investigate PhenoCams as a high-throughput approach for field phenotyping ex
Externí odkaz:
https://doaj.org/article/330f749720b24a34ab2db84d2f28780a