Dipl.-Ing. (FH) Antje Giebel
Department: Agromechatronics
Mitarbeit in Forschungsprogrammen
Arbeitsgebiete
- Analysis of experimental data (field and on-farm experiments)
- Conducting of field trials
- uni-, multivariate statistic (SAS, JMP, MATLAB)
- Analysis of spatial data (QGIS, GS+)
- Image processing and photogrammetry (MATLAB, Agisoft Metashape)
Veröffentlichungen
- Nagler, L.; Schwefler, J.; Käthner, J.; Giebel, A.; Kramer, E. (2022): Der Einfluss der Fahrgassenpflege auf das Mikroklima in Schwarzen Johannisbeeren (Ribes nigrum L.). Erwerbs-Obstbau. : p. 1-12. Online: https://doi.org/10.1007/s10341-022-00771-x
- Schirrmann, M.; Landwehr, N.; Giebel, A.; Garz, A.; Dammer, K. (2021): Early Detection of Stripe Rust in Winter Wheat using Deep Residual Neural Networks. Frontiers in Plant Science. : p. 469689. Online: https://doi.org/10.3389/fpls.2021.469689
- Dammer, K.; Schirrmann, M.; Garz, A.; Hamdorf, A.; Giebel, A. (2018): Bildverarbeitung findet Strukturen. Landwirtschaft ohne Pflug - LOP. (12): p. 14-22.
- Rud, R.; Käthner, J.; Giesser, J.; Pasche, R.; Giebel, A.; Selbeck, J.; Shenderey, C.; Fleury, D.; Zude-Sasse, M.; Alchanatis, V. (2018): Monitoring spatial variability in an apple orchard under different water regimes. Acta Horticulturae. (1197): p. 139-146. Online: https://doi.org/10.17660/ActaHortic.2018.1197.19
- Tackenberg, M.; Volkmar, C.; Schirrmann, M.; Giebel, A.; Dammer, K. (2017): Impact of sensor-controlled variable-rate fungicide application on yield, senescence and disease occurrence in winter wheat fields. Pest Management Science. (6): p. 1251-1258. Online: https://doi.org/10.1002/ps.4843
- Schirrmann, M.; Hamdorf, A.; Giebel, A.; Gleiniger, F.; Pflanz, M.; Dammer, K. (2017): Regression Kriging for improving crop height models fusing ultra-sonic sensing with UAV imagery. Remote Sensing. (7 / 665): p. 1-18. Online: http://www.mdpi.com/2072-4292/9/7/665
- Schirrmann, M.; Giebel, A.; Gleiniger, F.; Pflanz, M.; Lentschke, J.; Dammer, K. (2016): Monitoring agronomic parameters of winter wheat crops with low-cost UAV imagery. Remote Sensing. (9): p. 1-19. Online: http://dx.doi.org/10.3390/rs8090706
- Ustyuzhanin, A.; Dammer, K.; Giebel, A.; Weltzien, C.; Schirrmann, M. (2016): Discrimination of common ragweed (Ambrosia artemisiifolia) and mugwort (Artemisia vulgaris) based on bag of visual words model. Weed Technology. : p. 1-12. Online: http://dx.doi.org/10.1614/WT-D-16-00068.1
- Schirrmann, M.; Hamdorf, A.; Giebel, A.; Dammer, K.; Garz, A. (2015): A mobile sensor for leaf area index estimation from canopy light transmittance in wheat crops. Biosystems Engineering. (Dec): p. 23-33. Online: http://dx.doi.org/10.1016/j.biosystemseng.2015.09.005
- Bauriegel, E.; Giebel, A.; Herppich, W. (2011): Hyperspectral and chlorophyll fluorescence imaging to analyse impacts of Fusarium culmorum on photosynthetic integrity of infected wheat ears. Sensors. (4 April): p. 3765-3779. Online: http://dx.doi.org/10.3390/s110403765