Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Christian Klukas"'
Autor:
Laura Gómez-Zamanillo, Arantza Bereciartua-Pérez, Artzai Picón, Liliana Parra, Marian Oldenbuerger, Ramón Navarra-Mestre, Christian Klukas, Till Eggers, Jone Echazarra
Publikováno v:
Smart Agricultural Technology, Vol 5, Iss , Pp 100243- (2023)
Greenhouse plant assessment is key part in the process of developing and testing new herbicides as it serves to analyze the response of the species to those different products and doses in a controlled way. With that purpose, trials are carried out i
Externí odkaz:
https://doaj.org/article/326a636fbc49414789b6a28b912cdad8
Autor:
Artzai Picon, Arantza Bereciartua-Perez, Itziar Eguskiza, Javier Romero-Rodriguez, Carlos Javier Jimenez-Ruiz, Till Eggers, Christian Klukas, Ramon Navarra-Mestre
Publikováno v:
Artificial Intelligence in Agriculture, Vol 6, Iss , Pp 199-210 (2022)
Performing accurate and automated semantic segmentation of vegetation is a first algorithmic step towards more complex models that can extract accurate biological information on crop health, weed presence and phenological state, among others. Traditi
Externí odkaz:
https://doaj.org/article/24f8f33bb0b2469f93bb1c8982ce1044
Autor:
Arantza Bereciartua-Pérez, Laura Gómez, Artzai Picón, Ramón Navarra-Mestre, Christian Klukas, Till Eggers
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100125- (2023)
The use of digital technologies and artificial intelligence techniques for the automation of some visual assessment processes in agriculture is currently a reality. Image-based, and recently deep learning-based systems are being used in several appli
Externí odkaz:
https://doaj.org/article/de3f01d16d4d4ef39c4f3f9b1bd74a72
Autor:
Madita Lauterberg, Yehoshua Saranga, Mathieu Deblieck, Christian Klukas, Tamar Krugman, Dragan Perovic, Frank Ordon, Andreas Graner, Kerstin Neumann
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Drought events or the combination of drought and heat conditions are expected to become more frequent due to global warming, and wheat yields may fall below their long-term average. One way to increase climate-resilience of modern high-yielding varie
Externí odkaz:
https://doaj.org/article/49c1c4933341432386a39ea08d249386
Autor:
Itziar Egusquiza, Artzai Picon, Unai Irusta, Arantza Bereciartua-Perez, Till Eggers, Christian Klukas, Elisabete Aramendi, Ramon Navarra-Mestre
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Plant fungal diseases are one of the most important causes of crop yield losses. Therefore, plant disease identification algorithms have been seen as a useful tool to detect them at early stages to mitigate their effects. Although deep-learning based
Externí odkaz:
https://doaj.org/article/47227d6cff2c4893a9be2ac32791bfc9
Autor:
Adel H. Abdel-Ghani, Rajiv Sharma, Celestine Wabila, Sidram Dhanagond, Saed J. Owais, Mahmud A. Duwayri, Saddam A. Al-Dalain, Christian Klukas, Dijun Chen, Thomas Lübberstedt, Nicolaus von Wirén, Andreas Graner, Benjamin Kilian, Kerstin Neumann
Publikováno v:
BMC Plant Biology, Vol 19, Iss 1, Pp 1-19 (2019)
Abstract Background Adaptation to drought-prone environments requires robust root architecture. Genotypes with a more vigorous root system have the potential to better adapt to soils with limited moisture content. However, root architecture is comple
Externí odkaz:
https://doaj.org/article/c4ea950d2d6c48ae97c7b1b732e4bd88
Autor:
Hanna Ćwiek-Kupczyńska, Thomas Altmann, Daniel Arend, Elizabeth Arnaud, Dijun Chen, Guillaume Cornut, Fabio Fiorani, Wojciech Frohmberg, Astrid Junker, Christian Klukas, Matthias Lange, Cezary Mazurek, Anahita Nafissi, Pascal Neveu, Jan van Oeveren, Cyril Pommier, Hendrik Poorter, Philippe Rocca-Serra, Susanna-Assunta Sansone, Uwe Scholz, Marco van Schriek, Ümit Seren, Björn Usadel, Stephan Weise, Paul Kersey, Paweł Krajewski
Publikováno v:
Plant Methods, Vol 12, Iss 1, Pp 1-18 (2016)
Abstract Background Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising man
Externí odkaz:
https://doaj.org/article/c5cd20432db2492494a840b719cc0e3f
Autor:
Vokkaliga Thammegowda Harshavardhan, Le Van Son, Christiane Seiler, Astrid Junker, Kathleen Weigelt-Fischer, Christian Klukas, Thomas Altmann, Nese Sreenivasulu, Helmut Bäumlein, Markus Kuhlmann
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e110065 (2014)
Crop plants are regularly challenged by a range of environmental stresses which typically retard their growth and ultimately compromise economic yield. The stress response involves the reprogramming of approximately 4% of the transcriptome. Here, the
Externí odkaz:
https://doaj.org/article/49c748711c024fb2a1e30a93717a0541
Autor:
Till Eggers, Eleonora Carboni, Hanati Tuoken, Christian Klukas, Bennard van Ravenzwaay, Heike Marxfeld, Sibylle Gröters
Publikováno v:
Toxicologic Pathology. 49:843-850
In order to automate the counting of ovarian follicles required in multigeneration reproductive studies performed in the rat according to Organization for Economic Co-operation and Development guidelines 443 and 416, the application of deep neural ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5642a4760e1731f4ebaffe1ae4eaf00a
https://doi.org/10.1177/0192623320969130
https://doi.org/10.1177/0192623320969130
Autor:
Arantza Bereciartua-Pérez, Laura Gómez, Artzai Picón, Ramón Navarra-Mestre, Christian Klukas, Till Eggers
Publikováno v:
SSRN Electronic Journal.
The use of digital technologies and artificial intelligence techniques for the automation of some visual assessment processes in agriculture is currently a reality. Image-based, and recently deep learning-based systems are being used in several appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d22e3537ac840f25c1e1fe3292518c86
https://doi.org/10.2139/ssrn.4184417
https://doi.org/10.2139/ssrn.4184417