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Items: 9

1.

Assessment of Fusarium Infection and Mycotoxin Contamination of Wheat Kernels and Flour Using Hyperspectral Imaging.

Alisaac E, Behmann J, Rathgeb A, Karlovsky P, Dehne HW, Mahlein AK.

Toxins (Basel). 2019 Sep 21;11(10). pii: E556. doi: 10.3390/toxins11100556.

2.

Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!

Mahlein AK, Kuska MT, Thomas S, Wahabzada M, Behmann J, Rascher U, Kersting K.

Curr Opin Plant Biol. 2019 Aug;50:156-162. doi: 10.1016/j.pbi.2019.06.007. Epub 2019 Aug 3. Review.

PMID:
31387067
3.

Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale.

Mahlein AK, Alisaac E, Al Masri A, Behmann J, Dehne HW, Oerke EC.

Sensors (Basel). 2019 May 17;19(10). pii: E2281. doi: 10.3390/s19102281.

4.

Discovering coherency of specific gene expression and optical reflectance properties of barley genotypes differing for resistance reactions against powdery mildew.

Kuska MT, Behmann J, Namini M, Oerke EC, Steiner U, Mahlein AK.

PLoS One. 2019 Mar 19;14(3):e0213291. doi: 10.1371/journal.pone.0213291. eCollection 2019.

5.

Screening of Barley Resistance Against Powdery Mildew by Simultaneous High-Throughput Enzyme Activity Signature Profiling and Multispectral Imaging.

Kuska MT, Behmann J, Großkinsky DK, Roitsch T, Mahlein AK.

Front Plant Sci. 2018 Jul 23;9:1074. doi: 10.3389/fpls.2018.01074. eCollection 2018.

6.

Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform.

Thomas S, Behmann J, Steier A, Kraska T, Muller O, Rascher U, Mahlein AK.

Plant Methods. 2018 Jun 8;14:45. doi: 10.1186/s13007-018-0313-8. eCollection 2018.

7.

Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection.

Behmann J, Acebron K, Emin D, Bennertz S, Matsubara S, Thomas S, Bohnenkamp D, Kuska MT, Jussila J, Salo H, Mahlein AK, Rascher U.

Sensors (Basel). 2018 Feb 2;18(2). pii: E441. doi: 10.3390/s18020441.

8.

A multi-resolution approach for an automated fusion of different low-cost 3D sensors.

Dupuis J, Paulus S, Behmann J, Plümer L, Kuhlmann H.

Sensors (Basel). 2014 Apr 24;14(4):7563-79. doi: 10.3390/s140407563.

9.

Low-cost 3D systems: suitable tools for plant phenotyping.

Paulus S, Behmann J, Mahlein AK, Plümer L, Kuhlmann H.

Sensors (Basel). 2014 Feb 14;14(2):3001-18. doi: 10.3390/s140203001.

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