Author Rascher, Uwe

1 to 4 of 4 Items
  • 2018 Journal Article | 
    ​ ​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. et al.​ (2018) 
    Sensors (Basel, Switzerland)18(2) art. 441​.​ DOI: https://doi.org/10.3390/s18020441 
    Details  DOI  PMID  PMC 
  • 2018 Journal Article | 
    ​ ​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, A.-K.​ (2018) 
    Plant Methods14(1).​ DOI: https://doi.org/10.1186/s13007-018-0313-8 
    Details  DOI  PMID  PMC 
  • 2019 Journal Article
    ​ ​Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!​
    Mahlein, A.-K.; Kuska, M. T.; Thomas, S.; Wahabzada, M.; Behmann, J.; Rascher, U. & Kersting, K.​ (2019) 
    Current Opinion in Plant Biology50 pp. 156​-162​.​ DOI: https://doi.org/10.1016/j.pbi.2019.06.007 
    Details  DOI 
  • 2020 Journal Article | Research Paper | 
    ​ ​CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions​
    Vilà-Guerau de Arellano, J.; Ney, P.; Hartogensis, O.; de Boer, H.; van Diepen, K.; Emin, D. & de Groot, G. et al.​ (2020) 
    Biogeosciences17 pp. 4375​-4404​.​ DOI: https://doi.org/10.5194/bg-17-4375-2020 
    Details  DOI 

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