Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Andreas, Hund"'
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-14 (2024)
Abstract Switzerland’s livestock production causes high environmental costs and depends strongly on feed imports. While plant-based protein demand increases, the local grain legume production is negligible ( ~ 9000 hectares). Here, we investigated
Externí odkaz:
https://doaj.org/article/8178fc9cb85043c3abb89e11134325be
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:
Lukas Roth, Martina Binder, Norbert Kirchgessner, Flavian Tschurr, Steven Yates, Andreas Hund, Lukas Kronenberg, Achim Walter
Publikováno v:
Plant Phenomics, Vol 6 (2024)
Predicting plant development, a longstanding goal in plant physiology, involves 2 interwoven components: continuous growth and the progression of growth stages (phenology). Current models for winter wheat and soybean assume species-level growth respo
Externí odkaz:
https://doaj.org/article/403325daa9b546afa6bc446b7aa8c620
Autor:
Flavian Tschurr, Norbert Kirchgessner, Andreas Hund, Lukas Kronenberg, Jonas Anderegg, Achim Walter, Lukas Roth
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Abiotic stresses such as heat and frost limit plant growth and productivity. Image-based field phenotyping methods allow quantifying not only plant growth but also plant senescence. Winter crops show senescence caused by cold spells, visible as decli
Externí odkaz:
https://doaj.org/article/4fa3a7b87eb1452f89b579c71d508752
Publikováno v:
PLoS ONE, Vol 18, Iss 3 (2023)
Lipase activity is one of the main causes of the lipid rancidity in wholegrain wheat flour, leading to its short shelf life. Genetically diverse wheat germplasm offers potential for the selection of wheat cultivars with low lipase activity for stable
Externí odkaz:
https://doaj.org/article/4f2a2e4341674ec982a5c676ccfcb9e7
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Maintenance of sufficiently healthy green leaf area after anthesis is key to ensuring an adequate assimilate supply for grain filling. Tightly regulated age-related physiological senescence and various biotic and abiotic stressors drive overall green
Externí odkaz:
https://doaj.org/article/808b9bfd7be34c04b342d90a850f2c02
Autor:
Diana M. Pérez-Valencia, María Xosé Rodríguez-Álvarez, Martin P. Boer, Lukas Kronenberg, Andreas Hund, Llorenç Cabrera-Bosquet, Emilie J. Millet, Fred A. van Eeuwijk
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract High throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical analyses in which l
Externí odkaz:
https://doaj.org/article/1c7201ad199c4fce9bb1c5b777beb414
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
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