Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Norbert Kirchgeßner"'
Autor:
Jonas Anderegg, Radek Zenkl, Norbert Kirchgessner, Andreas Hund, Achim Walter, Bruce A. McDonald
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-17 (2024)
Abstract Background Quantitative disease resistance (QR) is a complex, dynamic trait that is most reliably quantified in field-grown crops. Traditional disease assessments offer limited potential to disentangle the contributions of different componen
Externí odkaz:
https://doaj.org/article/6f119e4eb2864b309181e72c28baba7a
Autor:
Jonas Anderegg, Flavian Tschurr, Norbert Kirchgessner, Simon Treier, Lukas Valentin Graf, Manuel Schmucki, Nicolin Caflisch, Camille Minguely, Bernhard Streit, Achim Walter
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Site-specific crop management in heterogeneous fields has emerged as a promising avenue towards increasing agricultural productivity whilst safeguarding the environment. However, successful implementation is hampered by insufficient availabi
Externí odkaz:
https://doaj.org/article/f97626f15f7c467f89cdcc7f9ff1e884
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-8 (2024)
Abstract Background Fruit appearance of apple (Malus domestica Borkh.) is accession-specific and one of the main criteria for consumer choice. Consequently, fruit appearance is an important selection criterion in the breeding of new cultivars. It is
Externí odkaz:
https://doaj.org/article/42550e473c5b4069ba049174e55b8420
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
Publikováno v:
Plant Phenome Journal, Vol 6, Iss 1, Pp n/a-n/a (2023)
Abstract Crop diversification is a potential strategy to increase the stability and productivity of crops, while reducing pathogen pressures and pesticide requirements. Crop variety mixtures provide some of these diversification benefits and their cu
Externí odkaz:
https://doaj.org/article/00ae26bf05d145909a3c0e42ffac8dfc
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
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:
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