Output
Peer-Review Journal Artikel
2025
Melzer, M.; Spykman, O.; Bellingrath-Kimura, S.D. (2025). Beetle bank-positioning on sloped farmland to promote water retention and biodiversity in farm management information systems for agri-environmental schemes. Biological Conservation. 302, 110999. https://doi.org/10.1016/j.biocon.2025.110999
MacPherson, Joseph; Rosman, Anna; Helming, Katharina; Burkhard, Benjamin (2025): A participatory impact assessment of digital agriculture: A Bayesian network-based case study in Germany. In Agricultural Systems 224, p. 104222.
https://doi.org/10.1016/j.agsy.2024.104222.
2024
Basavegowda, D. H., Schleip, I., Mosebach, P., & Weltzien, C. (2024). Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands. Environmental Science and Ecotechnology, 100419.
Bazzo, C.O.G., Kamali, B., Behrend, D., Hueging, H., Schleip, I., Mosebach, P., Behrendt, A., Gaiser, T., 2024. Assessing the Effect of Field Disturbances On Biomass Estimation in Grasslands Using UAV-Derived Canopy Height Models. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science.
https://doi.org/10.1007/s41064-024-00322-x
Bazzo, C.O.G., Kamali, B., dos Santos Vianna, M., Behrend, D., Hueging, H., Schleip, I., Mosebach, P., Haub, A., Behrendt, A., Gaiser, T., 2024. Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems. Ecological Informatics 83, 102813.
https://doi.org/10.1016/j.ecoinf.2024.102813
Kamali, B., Ahmadi, S.H., Gaiser, T., Buddeberg, M., Nendel, C., 2024. Quest to find compromised spatial and temporal resolutions for integrating remote sensing data with an agro-ecosystem model for grasslands. International Journal of Applied Earth Observation and Geoinformation 128, 103705.
https://doi.org/10.1016/j.jag.2024.103705
Raza, A., Vianna, M.d.S., Ahmadi, S.H., Habib-ur-Rahman, M., Gaiser, T., 2024. Comparison of predictive modeling approaches to estimate soil erosion under spatially heterogeneous field conditions. Environmental Modelling & Software 180, 106145.
https://doi.org/10.1016/j.envsoft.2024.106145
2023
Enders, A; Gaiser, T; Srivastava, A.K. et al., (2023): SIMPLACE – A versatile modelling and simulation framework for sustainable crops and agroecosystems. In Silico Plants.
https://doi.org/10.1093/insilicoplants/diad006.
Guarin, J.R., Gaiser, T; Srivastava, A.K., et al., (2022): Evidence for increasing global wheat yield potential. Environmental Research Letters.
https://iopscience.iop.org/article/10.1088/1748-9326/aca77c
Kimball, B; Gaiser, T ; Srivastava, A.K. et al., (2023): Simulation of evapotranspiration and Yield of Maize: An Inter-comparison among 41 maize models. Agricultural and Forest Meteorology.
https://doi.org/10.1016/j.agrformet.2023.109396.
Gao, J; Zeng, W; Ren, Z; Ao, C; Lei, G; Gaiser, T; Srivastava, A.K. (2023): A fertilization decision model for maize, rice, and soybean based on machine learning and swarm intelligent search algorithms. Agronomy.
https://doi.org/10.3390/agronomy13051400.
Sosulski, T; Srivastava, A.K. et al., (2023): Carbon storage potential and carbon dioxide emission from mineral fertilized and manured soil. Applied Sciences.
https://www.mdpi.com/2076-3417/13/7/4620.
Bazzo, COG; Kamali, B.; Hütt, C.; Bareth, G.; Gaiser, T. (2023): A Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV. Remote Sensing.
https://doi.org/10.3390/rs15030639
Gao, J., Srivastava, A.K. et al., (2023): A fertilization decision model for maize, rice, and soybean based on machine learning and swarm intelligent search algorithms. Agronomy.
https://doi.org/10.3390/agronomy13051400.
Donat, M., Geistert, J., Grahmann, K. (2023): Orientation of tree rows in alley cropping systems matters – The “ShadOT” modelling tool for tree growth and shading effects. MethodsX.
https://doi.org/10.1016/j.mex.2023.102282
Donat, M., Geistert, J., Grahmann, K. et al. (2023): Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany. Precision Agric.
https://doi.org/10.1007/s11119-023-10033-9
Faye, B., Webber, H., Gaiser, T., Müller, C., Zhang, Y., Stella, T., Latka, C., Reckling, M., Heckelei, T., Helming, K., and Ewert, F. (2023): Climate change impacts on European arable crop yields: Sensitivity to assumptions about rotations and residue management. European Journal of Agronomy 142, 126670.
https://doi.org/10.1016/j.eja.2022.126670
Melzer, M; Bellingrath-Kimura, S; Gandorfer, M (2023): Commercial farm management information systems – A demand-oriented analysis of functions in practical use, Smart Agricultural Technology, Volume 4, 100203, ISSN 2772-3755
https://doi.org/10.1016/j.atech.2023.100203.
Mohr, J., Tewes, A., Ahrends, H., and Gaiser, T. (2023): Assessing the Within-Field Heterogeneity Using Rapid-Eye NDVI Time Series Data. Agriculture 13, 1029.
https://doi.org/10.3390/agriculture13051029
Montzka, C.; Donat, M.; Raj, R.; Welter, P.; Bates, J.S. (2023): Sensitivity of LiDAR parameters to aboveground biomass in winter spelt. Drones 7(2), 121.
https://www.mdpi.com/2504-446X/7/2/121
Mouratiadou et al. (2023): The Digital Agricultural Knowledge and Information 1 System (DAKIS): employing digitalization to encourage 2 diversified and multifunctional agricultural systems, Environmental Science and Ecotechnology, Volume 16, 100274, ISSN 2666-4984
https://doi.org/10.1016/j.ese.2023.100274
Rahman, M. H. u., Ahrends, H. E., Raza, A., and Gaiser, T. (2023): Current approaches for modeling ecosystem services and biodiversity in agroforestry systems: Challenges and ways forward. Frontiers in Forests and Global Change 5.
https://doi.org/10.3389/ffgc.2022.1032442
Shaaban, M., Voglhuber-Slavinsky, A., Dönitz, E., Macpherson, J., Paul, C., Mouratiadou, I., Helming, K., & Piorr, A. (2023): Understanding the future and evolution of agri-food systems: A combination of qualitative scenarios with agent-based modelling. Futures, 149, 103141.
https://doi.org/10.1016/j.futures.2023.103141
Shaaban, M. (2023): Viability of the social–ecological agroecosystem (ViSA). SoftwareX, 22, 101360.
https://doi.org/10.1016/j.softx.2023.101360
Voglhuber-Slavinsky, A.; Lemke, N.; MacPherson, J.; Dönitz, E.; Olbrisch, M.; Schöbel, p.; Moller, B.; Bahrs, E.; Helming, K. (2023): Valorization for Biodiversity and Ecosystem Services in the Agri-Food Value Chain. Environmental Management
https://doi.org/10.1007/s00267-023-01860-7.
2022
Donat, M.; Geister, J.; Grahmann, K.; Bloch, R.; Bellingrath-Kimura, S. (2022): Patch cropping- a new methodological approach to determine new field arrangements that increase the multifunctionality of agricultural landscapes – In: Computers and Electronics in Agriculture. Volume 197. 106894.
https://doi.org/10.1016/j.compag.2022.106894
Villa, A., Eckersten, H., Gaiser, T., Ahrends, H. E., and Lewan, E. (2022): Aggregation of soil and climate input data can underestimate simulated biomass loss and nitrate leaching under climate change. European Journal of Agronomy 141, 126630.
https://doi.org/10.1016/j.eja.2022.126630
Ghafarian, F.; Wieland, R.; Lüttschwager, D.; Nendel, C. (2022): Application of extreme gradient boosting and Shapley Additive explanations to predict temperature regimes inside forests from standard open-field meteorological data. Environmental Modelling & Software, Volume 156,105466
https://doi.org/10.1016/j.envsoft.2022.105466
Ghafarian, F.; Wieland, R.; Nendel, C. (2022): Estimating the Evaporative Cooling Effect of Irrigation within and above Soybean Canopy.
https://doi.org/10.3390/w14030319
Golicz, K., Bellingrath-Kimura, S., Breuer, L., & Wartenberg, A. C. (2022): Carbon accounting in European agroforestry systems-Key research gaps and data needs. Current Research in Environmental Sustainability, 4
https://doi.org/10.1016/j.crsust.2022.100134
Hannigan, S.; Nendel, C.; Krull, M. (2022): Effects of temperature on the movement and feeding behaviour of the large lupine beetle, Sitona gressorius. Journal of Pest Science, 96, 389 – 402. https://doi.org/10.1007/s10340-022-01510-7
Hernández-Ochoa, I. M., Gaiser, T., Kersebaum, K.-C., Webber, H., Seidel, S. J., Grahmann, K., and Ewert, F. (2022): Model-based design of crop diversification through new field arrangements in spatially heterogeneous landscapes. A review. Agronomy for Sustainable Development 42, 74.
https://doi.org/10.1007/s13593-022-00805-4
Jacobs, S. R., Webber, H., Niether, W., Grahmann, K., Lüttschwager, D., Schwartz, C., Breuer, L., & Bellingrath-Kimura, S. D. (2022): Modification of the microclimate and water balance through the integration of trees into temperate cropping systems. Agricultural and Forest Meteorology, 323, 109065.
https://doi.org/10.1016/j.agrformet.2022.109065
Krull, M.; Barros, F. A. (2022): Reply to “Reviewing the effects of contamination on the biota of Brazilian coastal ecosystems: Scientific challenges for a developing country in a changing world”. Science of Total Environment,858.
https://doi.org/10.1016/j.scitotenv.2022.155545
Krull, M.; Newman, M. (2022): Joint effects of fragmentation and mercury contamination on marsh periwinkle (Littoraria irrorata) movement. Environmental Toxicology and Chemistry, 541, 7, 1742-1753.
https://doi.org/10.1002/etc.5351
Lorenz, T., Gerster, L., Elias Wodzinowski, D., Wartenberg, A., Martetschläger, L., Molitor, H., … & Bloch, R. (2022): Innovative Teaching and Learning Formats for the Implementation of Agroforestry Systems-An Impact Analysis after Five Years of Experience with the Real-World Laboratory “Ackerbaum”. Forests, 13(7), 1064.
https://doi.org/10.3390/f13071064
MacPherson, J.; Voglhuber-Slavinsky, A.; Olbrisch, M.; Schöbel, P.; Dönitz, E.; Mouratiadou, I.; Helming, K. (2022): Future agricultural systems and the role of digitization for achieving sustainability goals. A review. In – Agronomy for Sustainable Development 42:70.
https://doi.org/10.1007/s13593-022-00792-6
Raza, A., Ahrends, H., Habib-ur-Rahman, M., Hüging, H., and Gaiser, T. (2022): Using the Taguchi experimental design for assessing within-field variability of surface run-off and soil erosion risk. Science of The Total Environment 828, 154567.
https://doi.org/10.1016/j.scitotenv.2022.154567
Schwartz, C., Klebl, F., Ungaro, F., Bellingrath-Kimura, S.-D., & Piorr, A. (2022): Comparing participatory mapping and a spatial biophysical assessment of ecosystem service cold spots in agricultural landscapes. Ecological Indicators, 145, 109700.
https://doi.org/10.1016/j.ecolind.2022.109700
2021
Bellingrath-Kimura, S. D., Burkhard, B., Fisher, B., Matzdorf, B. (2021): Ecosystem services and biodiversity of agricultural systems at the landscape scale (Editorial). Environmental Monitoring and Assessment 193, Supplement 1, Article 275.
https://link.springer.com/article/10.1007/s10661-021-08857-x
Härtel, I. (2021): Agrar-Digitalrecht für Agrarsysteme der Zukunft, in: Automatisierungstechnik 2021, S. 278-280.
https://doi.org/10.1515/auto-2021-0004
Montzka, C.; B. Bayat, A.; Tewes, D.; Mengen and H. Vereecken (2021): Sentinel-2 Analysis of Spruce Crown Transparency Levels and their Environmental Drivers after Summer Drought in the Northern Eifel (Germany). Special Section on Forests Under Pressure: The Need for Interdisciplinary Approaches to Address Forest Vulnerability to Tree Mortality in Response to Drought. Frontiers in Forests and Global Change 4, 667151.
https://doi.org/10.3389/ffgc.2021.667151
Rahman, M.H., Hüging, H., Raza, A. , Ahrends, H. and Gaiser , T. (2021): Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions. Precision Agriculture.
https://doi.org/10.1007/s11119-021-09868-x
Raza, A.; Ahrends, H.;Habib-Ur-Rahman, M.; Gaiser, T. (2021): Modeling Approaches to Assess SoilErosion by Water at the Field Scalewith Special Emphasis on Heterogeneity of Soils and Crops. Land 2021,10, 422.
https://doi.org/10.3390/land10040422
Schöbel, P. (2021): Die behördliche Kontrolle durch Blockchain-Technologie in der Agrar- und Ernährungswirtschaft – Datenschutzrechtliche Anforderungen, in: LKV 2021, 153-159
https://www.rewi.europa-uni.de/de/lehrstuhl/or/verwaltrecht/Forschungsstelle-fuer-Digitalrecht/Die-behoerdliche-Kontrolle-durch-Blockchain-Technologie-in-der-Agar–und-Ernaehrungswirtschaft-Datenschutzrechtliche-Anforderungen.pdf
Schwartz, C.; Shaaban, M.; Bellingrath-Kimura, S.; Piorr, A. (2021): Participatory Mapping of Demand for Ecosystem Services in Agricultural Landscapes – In: Agriculture 2021, 11(12), 1193.
https://doi.org/10.3390/agriculture11121193
Shaaban, M.; Schwartz, C.; Macpherson, J.; Piorr, A. (2021): A Conceptual Model Framework for Mapping, Analyzing and Managing Supply–Demand Mismatches of Ecosystem Services in Agricultural Land-scapes – In: Land 2021, 10(02), 131.
https://doi.org/10.3390/land10020131
Ungaro, F., Schwartz, C., Piorr, A. (2021): Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, Germany. Data in Brief 34, Article 106645.
https://doi.org/10.1016/j.dib.2020.106645
2020
Härtel, Ines (2020): Künstliche Intelligenz in der nachhaltigen Landwirtschaft – Datenrechte und Haftungsregime; Natur und Recht; 42: 439–453
https://link.springer.com/article/10.1007/s10357-020-3704-3
Macpherson, J., Paul, C., Helming, K. (2020): Linking ecosystem services and the SDGs to farm-level assessment tools and models; Sustainability 12, 16; Article 6617
https://doi.org/10.3390/su12166617
Tewes, A., Hoffmann, H., Krauss, G., Schafer, F., Kerkhoff, C., Gaiser, T. (2020): New Approaches for the Assimilation of LAI Measurements into a Crop Model Ensemble to Improve Wheat Biomass Estimations; Agronomy-Basel 10, 21
Tewes, A., Hoffmann, H., Nolte, M., Krauss, G., Schäfer, F., Kerkhoff, C., Gaiser, T. (2020): How Do Methods Assimilating Sentinel-2-Derived LAI Combined with Two Different Sources of Soil Input Data Affect the Crop Model-Based Estimation of Wheat Biomass at Sub-Field Level?; Remote Sensing 664178, 1-21
Tewes, A., Montzka, C., Nolte, M., Krauss, G., Hoffmann, H., Gaiser, T. (2020): Assimilation of Sentinel-2 Estimated LAI into a Crop Model: Influence of Timing and Frequency of Acquisitions on Simulation of Water Stress and Biomass Production of Winter Wheat. Agronomy 10, 1813.
https://doi.org/10.3390/agronomy10111813
2019
Härtel, Ines (2019): Agrar-Digitalrecht für eine nachhaltige Landwirtschaft 4.0; Natur und Recht; 41: 577–586.
https://link.springer.com/article/10.1007/s10357-019-3571-y
Scientific books, theses and data publications
2023
Einzinger, A.(2023): Die Bedeutung von hydraulischen Kurzschlüssen der Landschaft für die Erosionsbewertung – Ein beispielhafter Vergleich des InVEST-Modells im niederbayerischen Tertiärhügelland. Bachelor-Arbeit. Lehrstuhl für Hydrologie und Flussgebietsmanagement. TU München.
Marples, C. (2023). Enhancing Ecosystem Services of Agricultural Landscapes Under Scenarios for Land Conversion to Vegetative Buffers. Master Thesis. Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften. Humboldt-Universität Berlin
2022
Brinkmann, J. (2022): Development of prediction models for the Yara N- Sensor to improve nitrogen fertilizer application in malting barley. MSc. Thesis, INRES/Crop Science, University of Bonn.
Engelskirchen, W. (2022):Lichtnutzungseffizienz in Abhängigkeit von der Vegetationszusammen-setzung und weiterer Einflussfaktoren im Grünland. BSc.Thesis, INRES/ Crop Science, University of Bonn.
Zahra, S. (2022): Hyperspectral data and detection of nutrient deficiency. MSc. Thesis, INRES/Crop Science and Plant Nutrition, University of Bonn.
Janssen, M. (2022). Bewertung von satellitenbild-basierten Managementzonen auf fünf Dauergrünlandstandorten in Norddeutschland in der Vegetationsperiode 2021. MSc. Thesis, INRES/Crop Science, University of Bonn.
Winten, P. (2022): Comparison of LAI sensor-based and destructive observations as input for data assimilation into crop models. MSc. Thesis, INRES/Crop Science, University of Bonn.
Olbrisch, M., Agricultural Digital Policy, in: Nachtmann, M. Dörr, J. (Hrsg.) (2022): Handbook Digital Farming, p. 34-39
Moyzes, C. M. (2022) Digitalization and Sustainability: Relevance in German Agriculture. Masters Thesis. Albrecht Daniel Thaer-Institut für Agrar- und Gartenbauwissenschaften. Humboldt-Universität zu Berlin
Shaaban, M. (2022): “The Viability of the Social-Ecological Agroecosystem (ViSA) Spatial Agent-based Model” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from:
https://doi.org/10.25937/6cea-b617
2021
Brose, A. H.; Gundlach, B.; Schuberth, J.; Gerster, L.; Martetschläger, L.; Bloch, R.; Cremer, T. (2021): Innovative Lehr- und Lernformate für neue Ackerbausysteme – dreijährige Erfahrungen aus dem Reallabor „Ackerbaum“. In: Kuratorium für Technik und Bauwesen in der Landwirtschaft e. V. (KTBL) Darmstadt (Hg.): Boden gut machen – neue Ackerbausysteme. Darmstadt, 16.-17.03.2021 (KTBL-Tage), S. 54-55.
2020
Bloch, R.; Bellingrath-Kimura, S. D. (2020): Smart Farming – Eine Chance für nachhaltige Agrarsysteme? In: M. Göpel; H. Leitschuh; A. Brunnengräber; P. Ibisch; R. Loske; M. Müller; J. Sommer; E. U. v. Weizsäcker (Hg.): Die Ökologie der digitalen Gesellschaft. Jahrbuch Ökologie 2019/2020. Stuttgart S. Hirzel. S. 110-116
http://jahrbuch-oekologie.de/smart-farming-eine-chance-fuer-nachhaltige-agrarsysteme/
2019
Bloch, R.; Bellingrath-Kimura, S. D. (2019). Presentation: Neue Anbausysteme durch Digitalisierung? Informationsveranstaltung: Fragen der Digitalisierung in der Landwirtschaft. Brandenburgische Landwirtschaftsakademie (BLAk). Seddiner See.
2023
Basavegowda, D.H., Schleip, Inga, Bellingrath-Kimura, S.D., Weltzien, C. (2023): Deep Learning and UAVs applications to assist result-based AES: Öko-Regelung 5 in Germany. Poster at the Agricultural Systems of the Future Summit, September 27th -28th, Berlin
Gonçalves Bazzo, C. , Kamali, B., Schleip, I., Haub, A., Mosebach, P., Gaiser, T. (2023): Assessing the Effect of Field Disturbances on Biomass Estimation in Grasslands using UAV-Derived Canopy Height Models. Poster at the Agricultural Systems of the Future Status seminar and Summit, September 26th -28th, Berlin
Haub, A., Mosebach, P., Gonçalves Bazzo, C., Mohr, J., Kamali, B., Schleip, I. (2023): Detecting spatial heterogeneity in grassland as a basis for small scale, site adapted management. Poster at the Agricultural Systems of the Future Summit, September 27th -28th, Berlin
MacPherson, J., Rosman, A., Helming, K., Burkhard, B. (2023): Assessing the Impacts of Digitalization on Agricultural Systems through Participatory Bayesian Network Modelling: A Case Study in Brandenburg, Germany. Presentation at the Agricultural Systems of the Future Summit, September 27th -28th, Berlin
MacPherson, J., Weddige, U., Weik, J., Vogt, J. (2023): Agricultural Systems of the Futrure and transformation for attaining the SDGs. Presentation at the Agricultural Systems of the Future Status Seminar, September 27th, Berlin
Marples, C. (2023): Enhancing Ecosystem Services ofagricultural landscapes under scenarios for land conversion to vegetative buffers.Poster at the Agricultural Systems of the Future Summit, September 27th -28th, Berlin
Melzer, M., Thakur, N., Donat, M., Burmeister, J., Machl, T., (2023): Beetle Banks & Buffer Strips- Locating small-scale erosion control measures in the DAKIS. Poster at the Agricultural Systems of the Future Status seminar and Summit, September 26th -28th, Berlin
Mohr, J., Gaiser, T., Frohberg, M., Weidling, S., Haub, A., Mosebach, P., Schleip, I. (2023): Bioacoustic-concept, within a sensor network on a heterogenous grassland site. Poster at the Agricultural Systems of the Future Summit, September 27th -28th, Berlin
Raj, R. Montka, C., Bayat, B., Raza, A. (2023): Retrieval of crop leaf area index from high-resolution satellite data. Poster at the Agricultural Systems of the Future Summit, September 27th -28th, Berlin
Shaaban, M. , Piorr, A. (2023): Using agent-based modelling in DAKIS as a tool to improve the understanding of the spatial dimension of land use decisions of multiple interacting actors. Presentation at the Agricultural Systems of the Future Summit
Srivastava, A.K., Donat, M., Zander, P., Zachaeus, S., Shaaban, M., Melzer, M., Wartenbertg, A., Chen, C., Bellingrath-Kimura, S.D., Hemminger, K., Gaiser, T. (2023): Assessing the Agronomic and Environmental Impacts of Grass Rotations in Cropping Systems: A Simulation Study in Muencheberg, Germany. Poster at the Agricultural Systems of the Future Summit, September 27th -28th, Berlin
Bellingrath-Kimura S. (2023): Digitalisation in Agriculture – Transformation in Agricultural Landscape. Spatial Science Colloquium (SSC2023) , Berlin, 4-5.7.2023
Bellingrath-Kimura S. (2023): Potenziale der Biodiversitätsförderung im Ackerbau. 20 Jahre Wissenschaftlicher Beirat für Biodiversität und Genetische Ressourcen (WBBGR), Berlin, 26.5.2023
Deepak H. Basavegowda, Volker Dworak, Cornelia Weltzien (2023): Poster: Mapping indicator plant species to identify High Nature Value (HNV) grasslands using deep learning methods. American Society of Agricultural and Biological Engineers (ASABE); (Annual International Meeting), July 9-12, 2023, Hilton, Omaha, Nebraska, USA.
Hemminger, K., Chen, C., Wartenberg, A. Bellingrath-Kimura, S. (2023): The Digital Agricultural Knowledge and Information System (DAKIS): a novel tool to integrate biodiversity objectives in agricultural management. Präsentation bei der 52. Jahrestagung der Gesellschaft für Ökologie, 12.-16.09.2023, Leipzig.
Meißner, L. (2023): “Economics vs. Sustainability? Support German Farmers to implement Efficient Land Use Strategies” Presentation at the American Agricultural and Applied Economics Association Extension Competition Finals, 23.07.2023
Melzer, M., Thakur, N., Ebertseder F.,Bellingrath-Kimura, S. (2023): Identifizierung kleinräumiger Erosionshotspots unter Berücksichtigung aquatischer Ökosysteme zur Etablierung von Erosionsschutzstreifen. in Referate der 43. GIL-Jahrestagung.
https://gil-net.de/wp-content/uploads/2023/01/GIL_2023_Tagungsband_final_8.2..pdf
Melzer, M. (2023). Identification of small-scale erosion hotspots polluting aquatic ecosystems. BonaRES Konferenz.
Mengen, D., A. Balenzano, T. Jagdhuber, F. Mattia, H. Vereecken, and C. Montzka (2023): Extended alpha approximation method for the retrieval of soil moisture under dynamic vegetation by multi-incidence angle Sentinel-1. International Geoscience and Remote Sensing Symposium IGARSS, Pasadena, USA, 16 – 21 July 2023 (Oral Presentation)
Niecksch, L., Deeken, H. Wiemann,T.(2023): Detecting spatio-temporal Relations by Combining a Semantic Map with a Stream Processing Engine. IEEE International Conference on Robotics and Automation (ICRA). 29.5-02.06.2023
2022
Basavegowda, D. H., Mosebach, P., Schleip, I. & Weltzien, C. (2022): Indicator plant species detection in grassland using EfficientDet object detector. In: Gandorfer, M., Hoffmann, C., El Benni, N., Cockburn, M., Anken, T. & Floto, H. (Hrsg.), 42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft. Bonn: Gesellschaft für Informatik e.V.. (S. 57-62). https://dspace.gi.de/handle/20.500.12116/38431
Basavegowda, D. H., Weltzien, C., (2022): High Nature Value grassland identification using deep learning. International Conference on Agricultural Engineering AgEng-Land.Technik 2022, Berlin.
Basavegowda, D. H. (2022): HNV grassland classification using deep learning techniques. “Virtual; Climate Smart Agriculture: The Way towards Ecosystem Restoration”
Bates, J., Montzka, C., Vereecken, H., and Jonard, F. (2022): UAS Thermal Infrared and Two Source Energy Balance Model Evapotranspiration Estimations for Sugar Beet. AGU Fall Meeting, Chicago, USA, 12 – 16 December 2022 (Poster Presentation)
Bates, J.; Jonard, F.; Vereecken, H.; Montzka, C. (2022): UAS LIDAR local maximum filtering for individual maize detection. International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur, 17 – 22 July 2021 (Poster Presentation)
Bellingrath-Kimura, S. (2022): Frontiers in soybean cropping system in Central Europe: -Four legume based site specific cropping systems to meet the SDGs. First International Symposium for the future Agri/Food Technology – Tokyo, 29.10.2022
Bellingrath-Kimura, S. (2022): Digital technologies for spatially and functionally diversified agricultural production systemitrag: Challenge to new environmental science research by bio-DX using various advanced technologies, Brussles, 29.11.2022
Bellingrath-Kimura, S. (2022): Transformation von Agrarlandschaften:integrative Forschungsansätze und Herausforderungen. Strategisches Forum der Agrarforschungsallianz 2022 Landnutzung im Wandel, 8-9.11.2022
Bellingrath-Kimura, S (2022): „Diversification & Digitalization – Trends that shape future agriculture“. Presentation at The International Congress of the European Society for Agronomy (ESA) Potsdam, 30.8.-2.9.2022
Frohberg, M. and Weidling, S. (2022): Energy Saving Adjustments in a Wireless Sensor Network for Spatially and Temporally Highly Resolved Measurements of Environmental Parameters. 19. GI/ITG KuVS Fachgespräch Sensornetze. Berlin.
https://events.htw-berlin.de/forschung/fachgespraech-sensornetze-2022/
Grahmann K., Bellingrath-Kimura S., Reckling M., Glemnitz M., Kunze T., Dachbrodt-Saaydeh S., Schwarz J., Klocke B., Ewert F. (2022): Crop diversification to reduce chemical plant protection products: Preliminary findings from the landscape laboratory patchCROP. Towards Pesticide Free Agriculture. Presentations. European Scientific Conference. Dijon, 2-3.6.2022
Hosseini-Yekani, S.A.; Zander, Peter. (2022): Incorporating the economic value of ecosystem services into farm level optimization. Farming Systems Design International Workshop (FSD7). Marrakesh, Morocco, 30 October – 3 November 2022
MacPherson, J.; Rosman, A.; Helming, K.; Burkhard, B. (2022): Poster: Using Bayesian networks as a participatory tool for assessing the impacts of digital agriculture. The International Congress of the European Society for Agronomy (ESA). Potsdam.
Montzka, C.; Bates, J.; Jonard, F.; Vereecken, H. (2022): Towards informing precision agriculture by autonomous UAS. ESA Living Planet Symposium, Bonn.
Montzka, C.; Bolten, J.; Cosh, M. (2022): The soil moisture focus area in the CEOS land parameter validation subgroup. 6th Satellite Soil Moisture Validation and Application Workshop, Perugia.
Shaaban, M., Mouratiadou, I., & Piorr, A. (2022): Cooperative versus non-cooperative behaviour: Using agent-based modelling to identify spatial supply-demand mismatches of ecosystem services and to coordinate conflicting actors’ demands. The IALE 2022 European Landscape Ecology Congress, Warsaw, Poland (Online).
https://doi.org/10.13140/RG.2.2.14062.08005
2021
Bates, J., Jonard, F., Bajracharrya, R., Vereecken, H., and Montzka, C. (2021): UAS LIDAR derived metrics for winter wheat biomass estimations using multiple linear regression. International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur.
Bates, J., Jonard, F., Vereecken, H., and Montzka, C. (2021): UAS LIDAR local maximum filtering for individual maize detection. International Geoscience and Remote Sensing Symposium (IGARSS), Kuala Lumpur.
Bellingrath-Kimura, S., Lemke, N., Chen, C., Weidling, S. Möller, S., Gaiser, T., et al. (2021): DAKIS – Digital Agricultural Knowledge and Information System. Virtuelles Statusseminar 2021 – Agrarsysteme der Zukunft, 28.-29. September 2021
Bellingrath-Kimura, S. (2021): Agricultural Landscape of the Future: Site specific optimization of land use – Approach of DAKIS: Digital Agricultural Knowledge and Information System. Tsukuba conference 2021. 22.9.2021
Brose, A. H.; Gundlach, B.; Schuberth, J.; Gerster, L.; Martetschläger, L.; Bloch, R.; Cremer, T. (2021): Innovative Lehr- und Lernformate für neue Ackerbausysteme – dreijährige Erfahrungen aus dem Reallabor „Ackerbaum“. In: Kuratorium für Technik und Bauwesen in der Landwirtschaft e V. (KTBL) Darmstadt (Hg.): Boden gut machen – neue Ackerbausysteme. Darmstadt, 16.-17.03.2021 (KTBL-Tage), S. 54-55.
Frohberg M.; Weidling S.; Langendoerfer P. (2021): Challenges in Developing a Wireless Sensor Network for an Agricultural Monitoring and Decision System. In: Ghita B., Shiaeles S. (eds) Selected Papers from the 12th International Networking Conference. INC 2020. Lecture Notes in Networks and Systems, vol 180. Springer, Cham.
https://doi.org/10.1007/978-3-030-64758-2_16
Gaiser, T., Zander, P., Hosseini-Yekani, S. A., Zachaeus, S., Nendel, C., Krull, M., Ghafarian, F., Rahman, M.H., Raza, A., Srivastava, A. (2021): Modelling ESS and Farm economics in DAKIS. Virtuelles Statusseminar 2021 – Agrarsysteme der Zukunft, 28.-29. September 2021
Hosseini-Yekani, S. A. and Zander, P., (2021): A mathematical model to quantitatively calculate the trade-offs between ESs within a DSS. In: Meyer-Aurich, A., Gandorfer, M., Hoffmann, C., Weltzien, C., Bellingrath-Kimura, S. & Floto, H. (Hrsg.), 41. GIL-Jahrestagung, Informations- und Kommunikationstechnologie in kritischen Zeiten. Bonn: Gesellschaft für Informatik e.V.. (S. 157-162).
Montzka, C., B. Bayat, A. Tewes, D. Mengen, and H. Vereecken (2021): Spruce Crown transparency Levels detected from Sentinel-2 using Google Earth Engine. International Geoscience and Remote Sensing Symposium (IGARSS), Online, 12 – 16 July 2021
Montzka, J. Bates, F. Jonard, and H. Vereecken (2021): Precision agriculture informed by UAVs. 1st TERENO-OZCAR International Conference, Strassbourg, France.
Mouratiadou, I. (2021): The DAKIS – Digital Agricultural Knowledge and Information decision support System, Landscape Conference 2021.
Rahman, MHR, T. Gaiser and Ahrends, H. (2021): Integrating the dynamics of soil erosion under agroforestry systems in process based dynamic crop models: challenges and the way forward. 5th European Agro-forestry confernece (EURAF2020). Agroforestry for the transition towards sustainability and bio economy (EURAF 2020), Agroforestry systems and innovations (Agroforestry innovations toward innovative agroforestry systems). Nuoro, Italy.
Raza, A., Gaiser, T., Habib-Ur-Rahman, M., and Ahrends, H. (2021): Erosion and sediment transport models with reference to the needs of small scale, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-5513
https://doi.org/10.5194/egusphere-egu21-5513
Schwartz, C., Shaaban, M., Bellingrath-Kimura, S. D., & Piorr, A. (2021): Participatory Mapping of Demands for Ecosystem Services. Landscape 2021, Berlin-Online.
Voglhuber-Slavinsky, A. (2021) Valorization of biodiversity measures and ecosystem services in different future scenarios. Workshop conducted at the Landscape Conference 2021
2020
Ahrends, H.E., Kraus, G., Enders, A., Srivastava, A.K, Gaiser, T., Ewert, F. (2020): A simple approach to simulate regional grassland dynamics with a process-based crop model. Presentation at 10th iEMSs 2020, International Environmental Modelling and Software Society. Brussels, Belgium.
Bellingrath-Kimura, S. (2020): Digital technologies for improving ecosystem services and biodiversity in agricultural land uses. Presentation at DCAW 2020 CAAS Conference. Online
Bellingrath-Kimura, S. (2020): Digitization in agriculture – opportunities for biodiversity. Presentation at 40th annual conference of the Society for Computer Science in Agriculture, Forestry and Food Industry eV (GIL conference). Freising Weihenstephan.
Bellingrath-Kimura, S. D. (2020): Agriculture 4.0: Digital tools for sustainable agriculture. Japanese Society of Soil Science and Plant Nutrition, Kansai Branch.
Frohberg, M. (2020): Challenges in Developing a Wireless Sensor Network for an Agricultural Monitoring and Decision System. 12th International Network Conference 2020 (INC2020).
Montzka, C., Tewes, A. (2020): SARSense: A C- and L-band SAR rehearsal campaign in Germany in preparation for ROSE-L. IGARSS 2020.
Tewes, H; Hoffmann, H.; Schäfer, S.; Kerkhoff, C.; Krauss, G.; Gaiser, T . (2020). Assimilation of Leaf Area Measurements Into A Crop Model to Improve Sub-Field Wheat Biomass Estimations. Poster at the Second International Crop Modelling Symposium, iCROPM 2020, Montpellier, France, 3 Feb 2020 – 5 Feb 2020
Voglhuber-Slavinsky, A. (2020): Sustainability in the future farming sector: Environmental scenarios. Presentation at 34th EFFoST International Conference. Virtual.
Weidling, S. (2020): Determining Optimal Parallel Schedules in Tree-Based WSNs Using a Realistic Interference Model. 5th International Congress on Information and Communication Technology (ICICT 2020). London, UK (virtual).
Weidling, S. (2020): Determining Optimal Parallel Schedules in Tree-Based WSNs Using a Realistic Interference Model. Presentation at 5th International Congress on Information and Communication Technology (ICICT 2020). London, UK (virtual).
2023
Londene, M. (2023): 3D-Modelle sollen bayerische Ackerböden sicherer machen. Tagesspiegel, 4.10.2023
Schultz, O. (2023): Erhalt von Ackerböden durch Erosionsmanagement. Agrarzeitung, 15.9.2023
Melzer, M (2023): Erosion: Hotspots für Boden- und Gewässerschutz in der Landwirtschaft finden. Magazin; Where Next. ESRI
Melzer, M. (2023): 3D-Darstellung hilft bayerischen Landwirten im Kampf gegen Bodenerosion / Digitalministerium und Landwirtschaftsministerium starten Extended Reality Projekt. Article on the website of the Bavarian State Ministry for Digital.
Melzer, M., Bellingrath-Kimura S. (2023): EROSPOT Pressemitteilung.
https://www.zalf.de/de/aktuelles/Seiten/Pressemitteilungen/erospot.aspx
Melzer, M.: Naturschutzmaßnahmen gegen Erosion. Potrait über Ehrenamtsarbeit mit Erospot
https://www.fairpachten.org/projekt/ehrenamtsnetzwerk/portrait-marvin-melzer
2022
Bellingrath-Kimura, S., Cheng Chen, C., Lemke, N., Wartenberg, A. (2022): Digitales Wissens- und Informationssystem für die Landwirtschaft. ZALF Jahresbericht 2020/2021
Frohberg, M., Weidling, S. (2022): Digitales Wissens- & Informationssystem für die Landwirtschaft. IHP Jahresbericht 2021.
Grimpe, J.; Lucke, S.; Lorenz, T.; Bloch, R.; Cremer, T. (2022): Agroforst auf trockenen Böden. In: Lumbrico (11), S.41-45
Lemke, L. (2022): Interviewserie zur #COP27: Nachhaltigkeit in Agrarlandschaften messbar machen.
https://agrarsysteme-der-zukunft.de/news/2022-11-08-nachhaltigkeit-agrarlandschaften-messbar-machen
2021
Bellingrath-Kimura, S. (2021): Essay: Digital Agricultural Knowledge and Information System (DAKIS)– Agricultural System of the future – In: the WISE Magazin (TUAT).
http://www.wise.tuat.ac.jp/wp-con-tent/uploads/2021/03/WISE-Magazine-A4-10p-20210322-s.pdf
Bellingrath-Kimura, S. (2021): Article. Köpfe des Wandels Bioökologie Agrarlandschaft für Natur- und Klimaschutz.
https://www.wissenschaftsjahr.de/2020-21/aktuelles-aus-der-biooekonomie/koepfe-des-wandels/agrarlandschaft-fuer-natur-und-klimaschutz.html
Bellingrath-Kimura, S. (2021): Transfer publication. “Agrarlandschaft für Natur- und Klimaschutz”
https://www.wissenschaftsjahr.de/2020-21/aktuelles-aus-der-biooekonomie/koepfe-des-wandels/agrarlandschaft-fuer-natur-und-klimaschutz
Brose, A. H.; Gundlach, B.; Schuberth, J.; Gerster, L.; Martetschläger, L.; Bloch, R.; Cremer, T. (2021): Innovative Lehr- und Lernformate für neue Ackerbausysteme – dreijährige Erfahrungen aus dem Reallabor “Ackerbaum”. In: Kuratorium für Technik und Bauwesen in der Landwirtschaft e. V. (KTBL) Darmstadt (Ed.): Making good soil – new arable farming systems. Darmstadt, 16-17.03.2021 (KTBL Days), pp. 54-55.
https://www.youtube.com/watch?v=g6qE8tEa3mY
HNEE (2021): The “Agroforestry Model Project” combines various research activities. DAKIS is right at the forefront.
https://ocpresentation.hnee.de/paella/ui/watch.html?id=28a31650-d866-4b46-bbb6-ac6c2a6c521e
2020
Futurium (2020): Aufzeichnung der Panel Diskussion vom 12.09.2020: Auf geht’s in die Raumschiffökonomie: Roboter auf der Blumenwiese und Gemüse von der Kläranlage. Für DAKIS Teilnahme von Ralf Bloch
https://www.youtube.com/watch?v=-5tc9ksK2F8&feature=emb_title&ab_channel=Futurium
ZALF (2020): Flyer “patchCROP – ein Landschaftslabor für mehr Vielfalt in der Landwirtschaft”.
https://adz-dakis.com/wp-content/uploads/ZALF-patchCROP-Ein-Landschaftslabor.pdf
Bellingrath-Kimura, S. (2020): Pflanzenvielfalt und Innovationen – Neue Anbausysteme der Zukunft.
https://www.wissenschaftsjahr.de/2020-21/aktuelles-aus-der-biooekonomie/koepfe-des-wandels/pflanzenvielfalt-und-innovationen-neue-anbausysteme-der-zukunft.html
Bellingrath-Kimura, S. (2020): Transfer publication. Plant diversity and innovations – new cultivation systems of the future. 03/09/2020
https://www.wissenschaftsjahr.de
Bellingrath-Kimura, S. (2020): Video contribution. THE ORGANIC PIONEERS | Sonoko Bellingrath-Kimura – The agricultural visionary. October 21, 2020 Bioökonomie.de
https://youtu.be/BaUxl62Upi8
Bloch, R. (2020): Transfer publication. Our smart farm. February 10, 2020. Der SPIEGEL, H7, pp.96-98.
Bloch, R. (2020): Video Beitrag Spiegel-Online: Feldversuch in Zeiten der Dürre – Der Acker der Zukunft.
https://www.spiegel.de/wissenschaft/natur/duerre-agroforst-forschung-zu-landwirtschaft-der-zukunft-a-9e9a94f4-b829-481d-b95b-554b02ea7625“
Bloch, R. (2020): Video contribution. Field trial in times of drought – the field of the future. June 3rd, 2020 Spiegel-Online
https://adz-dakis.com/spiegel-online-videoreportage/.
Bloch, R. (2020): Zeitungsinterview; Welt am Sonntag: Zurück in die Zukunft.
Donat, M. (2020): “Creation of Patch Cropping maps – A prototype of a web-based application”, November 2020.
https://www.youtube.com/watch?v=TDlhJi0_Bag
Dönitz, E., Voglhuber-Slavinsky, A. (2020): Brochure. “Agribusiness in 2035 – Farmers of the Future”
https://www.isi.fraunhofer.de/content/dam/isi/dokumente/ccv/2020/Agribusiness%20in%202035%20-%20Farmers%20of%20the%20Future.pdf
Dönitz, E.; Vogelhuber-Slavinsky, A.; Moller, B. (2020): Feld – Magazin des Leibniz-Zentrums für Agrarlandschaftsforschung – 02/2018 – DIE DIGITALE LANDWIRTSCHAFT DER ZUKUNFT (S. 2-9).
http://www.zalf.de/de/aktuelles/Feld-Magazin/Seiten/default.aspx
Montzka, C. (2020): Transfer publication. The plant as a sensor for soil properties. April 15, 2020
https://www.wissenschaftsjahr.de
Montzka, C. (2020): “Die Pflanze als Sensor für Bodeneigenschaften”
https://www.wissenschaftsjahr.de/2020-21/aktuelles-aus-der-biooekonomie/koepfe-des-wandels/die-pflanze-als-sensor.html
Vogelhuber-Slavinsky, A. (2020): Radio broadcast. How will our diet change in the future? Interview with NDR2.
Voglhuber-Slavinsky, A. (2020): Wie verändert sich unsere Ernährung in der Zukunft. Interview mit NDR2.
2019
Piorr, A. (2019): Ernährung Agrarwende von unten. Radio Feature SWR2 Wissen
Shaaban, M., Schwartz, C., MacPherson, J. (2019): Video: ESS demand analysis.
https://youtu.be/K49Jm_LU2yA/, https://zenodo.org/record/4313014#.X9DiV9hKhaQ
2023
MS Wissenschaft in Mainz 2023. Vortrag von Carsten Montzka mit anschließender Diskussion: Dialog an Deck: Bioökonomie im All und auf der Erde
https://ms-wissenschaft.de/de/veranstaltungen/biookonomie-im-all/
INNOspace® Netzwerk Space2Agriculture. Virtuelles Arbeitsgruppentreffen am 13.07.2023. Vortrag von A. Wartenberg: DAKIS Decision-Support Framework
36. Naturschutztag. Hannover. 28.06. -2.07.2023. Vortrag von S. Bellingrath-Kimura: Digitale Möglichkeiten in der Landwirtschaft für Natur- und Umweltschutz.
DAKIS 5th Annual Meeting. Internes Jahrestreffen mit allen Projektpartnern am 23.-24.5.2023 in Berlin
Bayerischer Digitalgipfel 2023 am 11.05.2023. Teilnahme und Vortrag von M. Melzer und S. Bellingrath-Kimura: EROSPOT
Pathways to Impact Workshop 3A der Koordinierungsstelle der Agrarsysteme der Zukunft “Transformationspfade konkretisieren – Roadmapping“ am 02.-03.03.2023 in Berlin. Teilnahme von C.Cheng, K. Hemminger und L. Meißner
DAKIS Strategy Workshop 2023. Interner Online-Workshop mit allen Projektpartnern am 16.01.2023
Internationale Grüne Woche 2023. Vortrag von C.Cheng „Wie Digitalisierung die Entscheidungsfindung für standortangepasste, multifunktionale und diversifizierte Landwirtschaft verbessern kann“ am 16.01.2023
2022
JSPS Alumni Symposium 2022. Vortrag von S. Bellingrath-Kimura: “Agriculture of the Future: New Bioeconomic Possibilities Due to Digitalisation “
Farm Food Climate Festival. Domäne Schickelsheim, 15.-17.09.2022. Teilnahme mit Infostand von C. Chen und A. Wartenberg
TECHTIDE-Regionalkonferenz der Industrie- und Handelskammer am 08.09.2022 in Osnabrück. Teilnahme von S. Bellingrath-Kimura
PatchCROP Feldrobotik-Workshop 2022. Teilnahme mit Vortrag: Lemke, N.; Bellingrath-Kimura, S., Donat, M.; Bloch, R.; Hanike Basavegowda, D.; Weltzien, C. (2022): DAKIS – Anforderungen an die Robotik in den Agrarsystemen der Zukunft.
https://eveeno.com/patchcrop2022
Pathways to Impact Workshop der Koordinierungsstelle der Agrarsysteme der Zukunft: „Transformationsprozesse von und in Agrarsystemen verstehen und aktiv nutzen“. Teilnahme von Nahleen Lemke und Ewa Dönitz
Future Perfect Workshop der Koordinierungsstelle der Agrarsysteme der Zukunft. Teilnahme von A. Voglhuber-Slavinsky
Mapping Futures Workshop der Koordinierungsstelle der Agrarsysteme der Zukunft. Teilnahme von E. Dönitz, I. Mouratiadou, N. Lemke
2021
VDI-NRW Netzwerk Session am 28.05.2021. Vortrag von S. Bellingrath-Kimura: „Agrarsysteme in 2050 – Wie soll die Zukunft aussehen und wie können digitale Tools dazu beitragen?“
DBU Online Salon „Biodiversität und Digitalisierung“ am 16.03.2021. Vortrag von S. Bellingrath-Kimura: Forschungsperspektiven. Digitale Möglichkeiten – Biodiversitätsförderung in der Agrarlandschaft
InnoMix Agrar 4.0 Digitalisierung in der Landwirtschaft 2021. Vortrag von S. Bellingrath-Kimura: DAKIS: Digitales Wissens- & Informationssystem für die Landwirtschaft – Lösungsansatz für Herausforderungen nachhaltiger Agrarsysteme der Zukunft
International DeepFarmBots Network 2021. Kick-off-Meeting. Teilnahme von N. Lemke.
Internationale Grüne Woche 2021. Keynote Präsentation von E. Dönitz und A. Voglhuber-Slavinsky.
ZALF Internal Colloquium. Online Presentation by M. Shaaban: “Agent-Based Modelling: Management of societal demands for ecosystem services conflicts in agricultural landscapes”
ZALF Science Day 2021. Online Presentation by M. Shaaban, C. Schwartz, A. Piorr: “Participatory and modelling approaches to societal demand and conflict management”
Ringvorlesung Global Food, Nutrition, and Health (M.Sc.), Uni Bayreuth 2021. Teilnahme und Vortrag von N. Lemke „The DAKIS – Digital Agricultural Knowledge and Information System“.
Strategie-Workshop des Leibniz Wissenschaftscampus: Digitale Bioökonomie. Potsdam 2021. Teilnahme von S. Weidling umd C. Weltzien.
IHP: Leibniz-Institut für innovative Mikroelektronik. Tag der Offenen Tür 2021. Poster und Demonstrator für WP2.3 von S. Weidling.
Web-Talk Series: AI and SDGs – AI in Agriculture – DWIH-India 2021. An introduction to the Digital Agricultural Knowledge and Information System (DAKIS). Sonoko Bellingrath-Kimura
https://www.dwih-newdelhi.org/en/event/web-talk-artificial-intelligence-a-driver-to-transform-global-agri-food-systems/
Workshop on the future potential of blockchain technology for agri-digital systems and the adherent legal questions conducted by P. Schöbel
2020
BMEL Competence Network for Digitization in Agriculture 2020, Bonn. Teilnahme von R. Bloch.
Digital Farming Conference des Bitkom Verband 2020. Teilnahme von M. Olbrisch und P. Schöbel
University of Agriculture and Technology, Tokyo. Lecture talk by S. Bellingrath-Kimura: Digitalization to enhance ecosystem services and biodiversity.
Digital Retail Conference des Bitkom Verlags 2020. Teilnahme von M. Olbrisch
European Academy for Freedom of Information and Data Protection. 2020. Presentation by I. Härtel: “Evaluation of the General Data Protection Regulation”
Excursion with 21 farmers from the regional networks NutriNet and CroppingSchool to the DAKISOlbrischagroforestry area. Großmutz, organized by R. Bloch
German Federal Environment Foundation. Online salon by M. Olbrisch: Chances of digitization for sustainable agriculture.
MLUK Workshop Digitale Daten. Potsdam. 2020 Teilnahme von R. Bloch und C. Weltzin.
Mounting ring. Müncheberg. 2020. DAKIS – digital knowledge and information system for agriculture von M. Donat.
Online summit “Future of Agritech” 2020. Teilnahme von M. Olbrisch, P. Schöbel.
Panel discussion “Let’s go into the spacecraft economy: Robots on the flower meadow and vegetables from the sewage treatment plant” Futurium – Berlin. Teilnahme von R. Bloch.
Besuch von MdB Tackmann am ZALF. Dialog mit M. Donat und C. Schwartz
Leibniz im Bundestag – Gespräch von R. Bloch with MdB Rainer Spiering zum Thema Vielfältige Agrarlandschaften durch Digitalisierung, 17.05.2020
Theme evening of the Association for Organic Farming Berlin Brandenburg e.V. 2020. No more “Gone with the Wind” – Agroforestry instead of grit. Teilnahme von R. Bloch
Treffen des BMEL Kompetenznetzwerkes Digitalisierung in der Landwirtschaft. 2020. Teilnahme von R. Bloch
Sondersitzung AGRAR: Künstliche Intelligenz.2020. Workshop presentation by S. Bellingrath-Kimura and I. Härtel.
Special Session: Agricultural Artificial Intelligence. Berlin. Teilnahme von I. Härtel.
2019
Brandenburger KI-Konferenz am 15.12. 2019 in Potsdam. Vortrag von S. Bellingrath-Kimura: „KI und Landwirtschaft – Biodiversität fördern“
Berlin BMBF 2019. Karlizceck Impulse: KI als Artenschützer: Chancen für Agrarsysteme der Zukunft und den Erhalt der Artenvielfalt von S. Palme.
Field day: Landscape Matters – Agrarlandschaften der Zukunft. 62. Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften e.V. Berlin. 2019. Teilnahme von R. Bloch.
Innovationsforum Mittelstand. Elektronische Komponenten und Systeme für intelligente Elektronik zur Digitalisierung. 2019. Neue Anbausysteme durch Digitalisierung? Präsentation von R. Bloch
Öko-Anbauring Uckermark gemeinsam mit dem Projekt DiLan und Herrn Kolbmüller (MLUK) 2019. DAKIS-Präsentation von R. Bloch, L. Kolbmüller
Ringveranstaltung des Kompetenznetzwerkes Ökologischer Acker- und Pflanzenbau Nordost Brandenburg 2019. Digitalisierung in der Landwirtschaft – Projekte und Entwicklungen. Präsentation von R. Bloch.
Melzer, M., Mukshinova, A., & Lechler, S. (2025). EROSPOT software package – part 2: Identification of waylines and beetle banks for water retention, erosion control and biodiversity (1.0.0). Zenodo.
https://doi.org/10.5281/zenodo.14272617
Melzer, M., & Thakur, N. (2024). EROSPOT software package – part 1: Identification of erosion hotspots at sub-field level using high-resolution geospatial data (1.0.0). Zenodo.
https://doi.org/10.5281/zenodo.14186792