Peer reviewed
2022
Hamidi, D., Grinnell, N. A., Komainda, M., Riesch, F., Horn, J., Ammer, S., … & Isselstein, J. (2022). Heifers don’t care: no evidence of negative impact on animal welfare of growing heifers when using virtual fences compared to physical fences for grazing. animal, 16(9), 100614. https://doi.org/10.1016/j.animal.2022.100614
Horn, J., & Isselstein, J. (2022). How do we feed grazing livestock in the future? A case for knowledge‐driven grazing systems. Grass and Forage Science, 77(3), 153–166. https://doi.org/10.1111/gfs.12577
Kowalski, K., Okujeni, A., Brell, M., & Hostert, P. (2022). Quantifying drought effects in Central European grasslands through regression-based unmixing of intra-annual Sentinel-2 time series. Remote Sensing of Environment, 268, 112781. https://doi.org/10.1016/j.rse.2021.112781
Schöttker, O., Hütt, C., Jauker, F., Witt, J., Bareth, G., & Wätzold, F. (2022). Monitoring costs of result-based payments for biodiversity conservation: Will UAV-based remote sensing be the game-changer? [MPRA Paper]. https://mpra.ub.uni-muenchen.de/112942/
Stampa, E., & Zander, K. (2022). Backing biodiversity? German consumers’ views on a multi-level biodiversity-labeling scheme for beef from grazing-based production systems. Journal of Cleaner Production, 370, 133471. https://doi.org/10.1016/j.jclepro.2022.133471
2021
Bareth, G., & Hütt, C. (2021). UPSCALING AND VALIDATION OF RTK-DIRECT GEOREFERENCED UAV-BASED RGB IMAGE DATA WITH PLANET IMAGERY USING POLYGON GRIDS FOR PASTURE MONITORING. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2021, 533–538. https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-533-2021
Hamidi, D., Komainda, M., Tonn, B., Harbers, J., Grinnell, N. A., & Isselstein, J. (2021). The effect of grazing intensity and sward heterogeneity on the movement behavior of suckler cows on semi-natural grassland. Frontiers in veterinary science, 8. https://doi.org/10.3389/fvets.2021.639096
Jenal, A., Hüging, H., Ahrends, H. E., Bolten, A., Bongartz, J., & Bareth, G. (2021). Investigating the Potential of a Newly Developed UAV-Mounted VNIR/SWIR Imaging System for Monitoring Crop Traits—A Case Study for Winter Wheat. Remote Sensing, 13(9), 1697. https://doi.org/10.3390/rs13091697
Schmiedgen, A., Komainda, M., Kowalski, K., Hostert, P., Tonn, B., Kayser, M. & Isselstein, J. (2021). Impacts of cutting frequency and position to tree line on herbage accumulation in silvopastoral grassland reveal potential for grassland conservation based on land use and cover information. Ann Appl Biol aab. 12681 https://doi.org/10.1111/aab.12681
2020
Jenal, A., Lussem, U., Bolten, A., Gnyp, M.L., Jasper, J., Bongartz, J., & Bareth, G. (2020). Investigating the potential of a newly developed UAV-based VNIR/SWIR imaging system for forage mass monitoring. PFG – J Photogramm Remote Sens Geoinf Sci. 88 (6), 493-507. https://doi.org/10.1007/s41064-020-00128-7
Lussem, U., Schellberg, J. & Bareth, G. (2020). Monitoring forage mass with low-cost UAV data: case study at the Rengen grassland experiment. PFG – J Photogramm Remote Sens Geoinf Sci. 88 (5), 407–422. https://doi.org/10.1007/s41064-020-00117-w
Stampa, E., Zander, K., Hamm, U. (2020). Insights into German Consumers’ Perceptions of Virtual Fencing in Grassland-Based Beef and Dairy Systems: Recommendations for Communication. Animals, 10(12): 2267. https://doi.org/10.3390/ani10122267
E. Stampa, C. Schipmann-Schwarze, U. Hamm (2020). Consumer perceptions, preferences, and behavior regarding pasture-raised livestock products: A review. Food Quality and Preference, 82: 103872. https://doi.org/10.1016/j.foodqual.2020.103872
Non-Peer reviewed
Pagenkemper, S. & Horn, J. (2022). Wie Innovationen die Weidehaltung vor dem Aussterben retten. Milchpraxis (1/2022) (56. Jg.).
Schöttker, O., Hütt, C., Jauker, F., Witt, J., Bareth, G. & Wätzold, F. (2022). Monitoring costs of result-based payments for biodiversity conservation: Will UAV-based remote sensing be the game-changer? MPRA Paper No. 112942, https://mpra.ub.uni-muenchen.de/112942/
Resch, K. (2022). Grünland kann seine Funktionen nur mit Wiederkäuern erhalten. Interview mit Arno Krause. Milchpraxis, 56 (1), 12-15.
J. Horn (2020). Revolution in der Weidehaltung? Allgäuer Bauernblatt, 19/2020: 22-25.
2020
Bahrs, E. (2020). Möglichkeiten einer erhaltenswerten Kulturlandschaft in Baden-Württemberg aus der Sicht der Landwirtschaft. Vortrag im Rahmen Auftaktveranstaltung der Initiierung des Kulturlandschaftsrats des Ministeriums für den Ländlichen Raum und Verbraucherschutz (MLR). Stuttgart, 7.10.2020.
Kowalski, K., Schwieder, M., Okujeni, A., Hostert, P., 2020. Ableitung von Vegetations- und Bodenanteilen für Dauergrünland aus dichten Sentinel-2 Zeitreihen. Vortrag zur DGPF-Tagung 2020, Stuttgart.
2019
Horn, J. & Isselstein, J. (2019). Perspektiven innovativer Technologien in einem integrativen Ansatz für eine nachhaltigere Weidebewirtschaftung. Vortrag zur Jahrestagung der Gesellschaft für Ökologie 2019, Münster.
2020
Becker, T., Feindt, P.H. & Janker, J. (2020). Analysis of the innovation system for dairy on grassland in the Wesermarsch-Region. Grassland Science in Europe 25: 722-724.
Horn, J. & Isselstein, J. (2020). How to get cows back to pasture? Current trends in livestock systems and perspectives for improving grazing system with a holistic framework. Grassland Science in Europe 25: 650-652.
Janker, J., Becker, T. & Feindt, P.H. (2020). Motivations towards grassland in German . Value chain actors’ perspectives. GEWISOLA Annual Conference 60.
Riesch, F., Komainda, M., Horn, J. & Isselstein, J. (2020). Pastures of the future: prospects for virtual fencing to promote grazing in European dairy farming. Grassland Science in Europe 25: 671-673.
Riesch, F., Komainda, M., Horn, J. & Isselstein, J. (2020). Grüne Aussichten: mehr Weidegang für Milchkühe durch virtuelle Zäune?. In: Chancen der Wertschöpfung, Probleme der Wertschätzung im Grünland,: 9-12.
2019
Bareth, G., Lussem, U., Menne, J., Hollberg, J. & Schellberg, J. (2019). Potential of non-calibrated UAV-based RGB imagery for forage monitoring: Case study at the RENGEN long-term grassland experiment (RGE), Germany. Proc. UAVg’2019, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, 203-206. https://doi.org/10.5194/isprs-archives-XLII-2-W13-203-2019
Harbers, J., Komainda, M., Tonn, B. & Isselstein, J. (2019). Einfluss von Witterungsfaktoren auf das Verhalten von Mutterkühen auf extensiver Standweide. In: Grünland 2050. Beiträge zur 63. Jahrestagung der Arbeitsgemeinschaft Grünland und Futterbau: 85-88.
Horn, J. & Isselstein, J. (2019). Nutztiersysteme auf dem Prüfstand: Mehr Nachhaltigkeit in der Weidebewirtschaftung durch einen integrativen Ansatz. In: Grünland 2050. Beiträge zur 63. Jahrestagung der Arbeitsgemeinschaft Grünland und Futterbau: 101-104.
Lussem, U, Bolten, A, Menne, J, Gnyp, ML & Bareth, G (2019). Ultra-high spatial resolution UAV-based imagery to predict biomass in temperate grasslands. Proc. UAVg – Geospatial Week’2019, Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, 443-447. https://doi.org/10.5194/isprs-archives-XLII-2-W13-443-2019
2021
Horn, J. (2021). Nachhaltige Weidehaltung – Innovationsschub als Schlüssel. Progressive Agrarwende
Schulze-Stumpenhorst, C. (30.03.2021). Zaunbau per App. f3 farm.food.future. Landwirtschaftsverlag GmbH. Online- und Printversion. https://f3.de/story/zaunbau-app-1266.html (f3-Interview: Juliane Horn)
Horn, J. & Isselstein, J. (14.04.2021). Back to the roots: Weidehaltung mit Innovationsschub.