Author Paulus, Stefan

1 to 9 of 9 Items
  • 2015 | Book Chapter
    ​ ​Weiß und rein. Zur kulturellen Codierung von Hautfarben in der frühen Neuzeit​
    Burschel, P. ​ (2015)
    In:​Häberlein, Mark; Paulus, Stefan; Weber, Gregor​ (Eds.), Geschichte(n) des Wissens. Festschrift für Wolfgang E.J. Weber zum 65. Geburtstag pp. 431​-442. ​Augsburg. 
    ​Details 
  • 2019 | Journal Article | 
    ​ ​Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range​
    Brugger, A.; Behmann, J.; Paulus, S.; Luigs, H.-G.; Kuska, M. T.; Schramowski, P. & Kersting, K. et al.​ (2019) 
    Remote Sensing, 11(12) art. 1401​.​ DOI: https://doi.org/10.3390/rs11121401 
    ​Details  DOI 
  • 2019 | Journal Article | 
    ​ ​Measuring crops in 3D: using geometry for plant phenotyping​
    Paulus, S.​ (2019) 
    Plant Methods, 15(1) art. 103​.​ DOI: https://doi.org/10.1186/s13007-019-0490-0 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article
    ​ ​Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis​
    Schunck, D.; Magistri, F.; Rosu, R. A.; Cornelißen, A.; Chebrolu, N.; Paulus, S. & Léon, J. et al.​ (2021) 
    PLoS One, 16(8) pp. e0256340​.​ DOI: https://doi.org/10.1371/journal.pone.0256340 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​A Hyperspectral Library of Foliar Diseases of Wheat​
    Bohnenkamp, D.; Behmann, J.; Paulus, S.; Steiner, U. & Mahlein, A.-K.​ (2021) 
    Phytopathology,.​ DOI: https://doi.org/10.1094/PHYTO-09-19-0335-R 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​Disease incidence and severity of Cercospora leaf spot in sugar beet assessed by multispectral unmanned aerial images and machine learning​
    Barreto Alcántara, A. A.; Ispizua Yamati, F. R.; Varrelmann, M.; Paulus, S. & Mahlein, A.-K.​ (2022) 
    Plant Disease, art. PDIS-12-21-2734-RE​.​ DOI: https://doi.org/10.1094/PDIS-12-21-2734-RE 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​Hyperspectral imaging in the UV-range allows for differentiation of sugar beet diseases based on changes of secondary plant metabolites​
    Brugger, A.; Ispizua Yamati, F.; Barreto, A.; Paulus, S.; Schramowski, P.; Kersting, K. & Steiner, U. et al.​ (2022) 
    Phytopathology®, art. PHYTO-03-22-0086-R​.​ DOI: https://doi.org/10.1094/PHYTO-03-22-0086-R 
    ​Details  DOI 
  • 2022 | Journal Article | 
    ​ ​Digital plant pathology: a foundation and guide to modern agriculture​
    Kuska, M. T.; Heim, R. H. J.; Geedicke, I.; Gold, K. M.; Brugger, A. & Paulus, S.​ (2022) 
    Journal of Plant Diseases and Protection, 129(3) pp. 457​-468​.​ DOI: https://doi.org/10.1007/s41348-022-00600-z 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?​
    Paulus, S. & Leiding, B.​ (2023) 
    Plant Phenomics, 5 art. 0070​.​ DOI: https://doi.org/10.34133/plantphenomics.0070 
    ​Details  DOI 

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