Publications

2020

Pfitzer, R., Schrameyer, K., Voegele, R. T., Maier, J., Lang, C. und Varrelmann, M. 2020. Ursachen und Auswirkungen des Auftretens von "Syndrome des basses richesses" in deutschen Zuckerrübenanbaugebieten. Sugar Ind. 145(4), 234-244

https://doi.org/10.36961/si24263

Savian, F., Martini, M., Ermacora, P., Paulus, S., and Mahlein, A.-K. 2020. Prediction of the Kiwifruit Decline Syndrome in Diseased Orchards by Remote Sensing. Remote Sens. 12(14), 2194

https://doi.org/10.3390/rs12142194

Schäfer, J., Hale, J., Hoffmann, C. M., and Bunzel, M. 2020. Mechanical properties and compositional characteristics of beet (Beta vulgaris L.) varieties and their response to nitrogen application. Eur. Food Res. Technol. 19

https://doi.org/10.1007/s00217-020-03562-4

Schramowski, P., Stammer, W., Teso, S., Brugger, A., Herbert, F., Shao, X., Luigs, H.-G., Mahlein, A.-K., and Kersting, K. 2020. Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nat. Mach. Intell. 2, 476–486

https://doi.org/10.1038/s42256-020-0212-3

Schramowski, P., Stammer, W., Teso, S., Brugger, A., Luigs, H.-G., Mahlein, A.-K., and Kersting, K. 2020. Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. Computer Science > Machine Learning arxiv:2001.05371v1, 1-22


Stockfisch, N., Trimpler, K. und Roß, C. 2020. Aktuell in der Diskussion. Biodiversität erhalten und fördern: Und auf Zuckerrübenfeldern? dzz 56(4), 32-33


Stockfisch, N., Trimpler, K. und Roß, C. 2020. Biodiversität erhalten und fördern. Zuckerrüben-Journal 21(3), 13-14


Wilczek, U., Kulig, B., Koch, H.-J., Kälberloh, R., and Hensel, O. 2020. Sensor system development for low-damage sugar beet harvesting – state and perspectives. Sugar Ind. 145(5), 299-306

https://doi.org/10.36961/si24377

2019

Alisaac, E., Behmann, J., Rathgeb, A., Karlovsky, P., Dehne, H.-W., Mahlein, A.-K. 2019: Assessment of Fusarium Infection and Mycotoxin Contamination of Wheat Kernels and Flour Using Hyperspectral Imaging. Toxins 11(10): 556

https://doi.org/10.3390/toxins11100556

Behmann, J., Bohnenkamp, D., Paulus, S., Mahlein, A.-K. 2019. Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms: Reprinted from: J. Imaging 2018, 4, 143. Pages 74–86 in: The Future of Hyperspectral Imaging: Special Issue. S. Selci, ed. MDPI (Multidisciplinary Digital Publishing Institute), Basel

https://www.doi.org/10.3390/jimaging412014