Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Jan Behmann"'
Autor:
Stefan Thomas, Jan Behmann, Angelina Steier, Thorsten Kraska, Onno Muller, Uwe Rascher, Anne-Katrin Mahlein
Publikováno v:
Plant Methods, Vol 14, Iss 1, Pp 1-12 (2018)
Abstract Background Phenotyping is a bottleneck for the development of new plant cultivars. This study introduces a new hyperspectral phenotyping system, which combines the high throughput of canopy scale measurements with the advantages of high spat
Externí odkaz:
https://doaj.org/article/51d8610b0d0542da94ffeef91389ed29
Autor:
Matheus Thomas Kuska, Jan Behmann, Mahsa Namini, Erich-Christian Oerke, Ulrike Steiner, Anne-Katrin Mahlein
Publikováno v:
PLoS ONE, Vol 14, Iss 3, p e0213291 (2019)
Hyperspectral imaging has proved its potential for evaluating complex plant-pathogen interactions. However, a closer link of the spectral signatures and genotypic characteristics remains elusive. Here, we show relation between gene expression profile
Externí odkaz:
https://doaj.org/article/a0fab765d0b24b2f912787b846356c5a
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
Molecular marker analysis allow for a rapid and advanced pre-selection and resistance screenings in plant breeding processes. During the phenotyping process, optical sensors have proved their potential to determine and assess the function of the geno
Externí odkaz:
https://doaj.org/article/9af1f4c2f3664d2c8c8e09e62c380205
Publikováno v:
Sensors, Vol 14, Iss 4, Pp 7563-7579 (2014)
The 3D acquisition of object structures has become a common technique in many fields of work, e.g., industrial quality management, cultural heritage or crime scene documentation. The requirements on the measuring devices are versatile, because spacio
Externí odkaz:
https://doaj.org/article/be9ebaa5899a40e09d4ba264c1f00fef
Publikováno v:
Remote Sensing, Vol 11, Iss 21, p 2495 (2019)
The application of hyperspectral imaging technology for plant disease detection in the field is still challenging. Existing equipment and analysis algorithms are adapted to highly controlled environmental conditions in the laboratory. However, only r
Externí odkaz:
https://doaj.org/article/2812e79c51f64d68af61630dc1955f7e
Autor:
Elias Alisaac, Jan Behmann, Anna Rathgeb, Petr Karlovsky, Heinz-Wilhelm Dehne, Anne-Katrin Mahlein
Publikováno v:
Toxins, Vol 11, Iss 10, p 556 (2019)
Fusarium head blight (FHB) epidemics in wheat and contamination with Fusarium mycotoxins has become an increasing problem over the last decades. This prompted the need for non-invasive and non-destructive techniques to screen cereal grains for Fusari
Externí odkaz:
https://doaj.org/article/bf2515ee63df4d23b7b32992e816cafb
Autor:
Anna Brugger, Jan Behmann, Stefan Paulus, Hans-Georg Luigs, Matheus Thomas Kuska, Patrick Schramowski, Kristian Kersting, Ulrike Steiner, Anne-Katrin Mahlein
Publikováno v:
Remote Sensing, Vol 11, Iss 12, p 1401 (2019)
Previous plant phenotyping studies have focused on the visible (VIS, 400−700 nm), near-infrared (NIR, 700−1000 nm) and short-wave infrared (SWIR, 1000−2500 nm) range. The ultraviolet range (UV, 200−380 nm) has not yet been used in plant pheno
Externí odkaz:
https://doaj.org/article/e8eb36855a494a748a4c650e219e410e
Autor:
Anne-Katrin Mahlein, Elias Alisaac, Ali Al Masri, Jan Behmann, Heinz-Wilhelm Dehne, Erich-Christian Oerke
Publikováno v:
Sensors, Vol 19, Iss 10, p 2281 (2019)
Optical sensors have shown high capabilities to improve the detection and monitoring of plant disease development. This study was designed to compare the feasibility of different sensors to characterize Fusarium head blight (FHB) caused by Fusarium g
Externí odkaz:
https://doaj.org/article/6a1973219d234c89b1a7ba07af637e3f
Publikováno v:
Journal of Imaging, Vol 4, Iss 12, p 143 (2018)
The characterization of plant disease symptoms by hyperspectral imaging is often limited by the missing ability to investigate early, still invisible states. Automatically tracing the symptom position on the leaf back in time could be a promising app
Externí odkaz:
https://doaj.org/article/c50f23b1787e4de2918d9ee40c9414df
Autor:
Jan Behmann, Kelvin Acebron, Dzhaner Emin, Simon Bennertz, Shizue Matsubara, Stefan Thomas, David Bohnenkamp, Matheus T. Kuska, Jouni Jussila, Harri Salo, Anne-Katrin Mahlein, Uwe Rascher
Publikováno v:
Sensors, Vol 18, Iss 2, p 441 (2018)
Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation in different environments. Information on physiology, architecture or biochemistry of plants can be assessed non-invasively and on different scales. For instan
Externí odkaz:
https://doaj.org/article/53429b5f43b644dc9a72a4baa821201e