Diversifizierter Pflanzenbau

Aufsätze in referierten Fachzeitschriften

• Tapia Zapata, N.; Zude-Sasse, M. (2026): Geometric and radiometric analysis of dual wavelength NIR-LiDAR scanning for estimating physiological and free water of leaves in apple tree canopies. Scientia Horticulturae. (February): p. 114564. Online: https://doi.org/10.1016/j.scienta.2025.114564 1.0
• Dragoni, F.; Tozzini, C.; Taccini, F.; Giovannelli, A.; Traversi, M.; Bonari, E.; Ragaglini, G. (2026): Seasonal dynamics and effect of harvest time on concentration and yield of non-structural carbohydrates in rhizomes and aboveground biomass of giant reed (Arundo donax L.). Biomass & Bioenergy. (February 2026): p. 108515. Online: https://doi.org/10.1016/j.biombioe.2025.108515 1.0
• Foldal, C.; Maier, R.; Amon, B.; Haas, E.; Kraus, D.; Kitzler, B.; Zechmeister-Boltenstern, S. (2026): Refining regional estimates of N2O emissions from agricultural soils: A modelling study from Austria. STOTEN. (February 2026): p. 181399. Online: https://doi.org/10.1016/j.scitotenv.2026.181399 1.0
• Safonova, A.; Stiller, S.; Yordanov, M.; Ryo, M. (2026): Self-supervised learning outperforms supervised learning for crop classification by annotating only 5% of images. Precision Agriculture. (4): p. 1-31. Online: https://doi.org/10.1007/s11119-025-10302-9 1.0
• Sabaghi, M.; Seyedalmoosavi, S.; Tavasoli, S. (2026): Sustainable and regulatory perspectives on stimuli-responsive protein-based films for postharvest food and feed preservation. Journal of Stored Products Research. (March 2026): p. 102947. Online: https://doi.org/10.1016/j.jspr.2025.102947 1.0
• Guo, Z.; Estrada, J.; Guo, X.; Shamshiri, R.; Pereya, M.; Cheein, F. (2026): first_page settings Order Article Reprints Open AccessArticle Integrative Nutritional Assessment of Avocado Leaves Using Entropy-Weighted Spectral Indices and Fusion Learning. Computation. (2): p. 33. Online: https://doi.org/10.3390/computation14020033 1.0
• Espíndola-Hernández, P.; Banerjee, S.; Abdulmalik, A.; Andrade-Linares, D.; Baldi, G.; Berg, G.; Brearley, F.; Flocco, C.; Galgani, L.; Gegeckiene, L.; Gschwendtner, S.; Hensen, T.; Kostic, T.; Ledesma-Amaro, R.; Maier, L.; Marciniak, A.; Ohan, J.; Overmann, J.; Rito, T.; Ryan, M.; Schlotter, M. (2026): A trait-based framework to identify microbial keystone taxa for microbiome engineering. Cell Reports Sustainability. (March 2026): p. 1-10. Online: https://doi.org/10.1016/j.crsus.2025.100615 1.0
• Adrian, W.; Temme, N.; Schumann, M.; Berg, G. (2026): Wireworm-Associated Microbial Communities and their Implications on Biological Control. Microbial Ecology. (31(2026)): p. 1-12. Online: https://doi.org/10.1007/s00248-025-02672-4 1.0
• Maß, V.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fitzsche, E.; Ibraheem, R.; Geyer, M.; Pflanz, M.; Reim, S. (2025): Annotated image dataset with different stages of European pear rust for UAV-based automated symptom detection in orchards. Data in Brief. (February): p. 111271. Online: https://doi.org/10.1016/j.dib.2025.111271 1.0
• Darvishi, A.; Dalton, D.; Berger, V.; Schirrmann, M. (2025): Application of unmanned aerial vehicles (UAVs) in farmland biodiversity monitoring: A systematic review protocol. Methods in Ecology and Evolution. (12): p. 2760-2770. Online: https://doi.org/10.1111/2041-210x.70172 1.0

Monografien nach Autorenschaft

• Thonicke, K.; Rahner, E.; Arneth, A.; Bonn, A.; Borchard, N.; Chaudhary, A.; Darbi, M.; Dutta, T.; Eberle, U.; Eisenhauer, N.; Farwig, N.; Flocco, C.; Freitag, J.; Grobe, P.; Grosch, R.; Grossart, H.; Grosse, A.; Grützmacher, K.; Hagemann, N.; Hansjürgens, B.; Hartmann Scholz, A.; Hassenrück, C.; Häuser, C.; Hickler, T.; Hölker, F.; Jacob, U.; Jähnig, S.; Jürgens, K.; Kramer-Schadt, S.; Kretsch, C.; Krug, C.; Lindner, J.; Loft, L.; Mann, C.; Matzdorf, B.; Mehring, M.; Meier, R.; Meusemann, K.; Müller, D.; Nieberg, M.; Overmann, J.; Peters, R.; Pörtner, L.; Pradhan, P.; Prochnow, A.; Rduch, V.; Reyer, C.; Roos, C.; Scherber, C.; Scheunemann, N.; Schroer, S.; Schuck, A.; Sioen, G.; Sommer, S.; Sommerwerk, N.; Tanneberger, F.; Tockner, K.; van der Voort, H.; Veenstra, T.; Verburg, P.; Voss, M.; Warner, B.; Wende, W.; Wesche, K. (2024): 10 Must-Knows aus der Biodiversitätsforschung 2024. Potsdam, 72 S. Online: DOI: 10.5281/zenodo.10794362 1.0
• Amon, B. (2024): Developing circular agricultural production systems. Burleigh Dodds Science Publishing Limited, Cambridge, UK, (ISBN-13: 9781801462563), 480 S. Online: https://shop.bdspublishing.com/store/bds/detail/workgroup/3-190-125575 1.0
• Dammer, K. (2024): Sensorgestützte Fungizid-und Insektizid-Applikation sowie Monitoring von Schaderregern am ATB - Überblick zu praxisorientierter Forschung. Bornimer Agrartechnische Berichte 109. Potsdam, (0947-7314), 59 S. 1.0
• Orozco, R. (2024): Co-evolution of business environments and grassland innovations in the Bioeconomy. Berlin, 113 S. Online: https://doi.org/10.18452/33095 1.0
• Ewert, F.; Arend, D.; Asseng, S.; Boehm, F.; Feike, T.; Fluck, J.; Gackstetter, D.; Gonzalez-Mellado, A.; Hartmann, T.; Haunert, J.; Hoedt, F.; Hoffmann, C.; König, P.; Lange, M.; Lesch, S.; Lindstädt, B.; Lischeid, G.; Martini, D.; Möller, M.; Rascher, U.; Reif, J.; Schmalzl, M.; Senft, M.; Specka, X.; Stahl, U.; Svoboda, N.; Usadel, B.; Webber, H.; Weiland, C. (2023): FAIRagro FAIR Data Infrastructure for Agrosystems - Proposal 2021. Genf, 121 S. Online: https://doi.org/10.5281/zenodo.7528172 1.0
• Hutchings, N.; Mikkelsen, M.; Dore, C.; German, R.; Mitchell, J.; Thornton, A.; Sanchez, B.; Amon, B.; Mellios, G.; Juhrich, K.; Ntziachristos, L.; Broomfield, M.; Stewart, R.; Kuenen, J.; Webb, J. (2023): EMEP/EEA air pollutant emission inventory guidebook 2023. Technical guidance to prepare national emission inventories. Kopenhagen, (ISSN 1977-8449; ISBN 978-92-9480-598-0), 28 S. Online: doi: 10.2800/795737 1.0
• Zanella Carra, S. (2023): Evaluation of Water Productivity of Plant Production and Livestock Production in an Experimental Watershed Located in Southern Brazil/ Lebenswissenschaftlichen Fakultät. Berlin, 135 S. Online: https://doi.org/10.18452/28259 1.0
• Li, M. (2023): The effects of three different proximal and remote sensing platforms on estimating agronomic parameters using image-based methods: implications for precision agriculture/ Fakultät V - Verkehrs- und Maschinensysteme. Berlin, 169 S. Online: https://doi.org/10.14279/depositonce-17089 1.0
• Yaghoubi, M.; Tavakoli, H. (2022): Mechanical Design of Machine Elements by Graphical Methods. Springer, Cham, (978-3-031-04329-1/978-3-031-04328-4), 285 S. Online: https://doi.org/10.1007/978-3-031-04329-1 1.0
• Berg, G.; Kusstatscher, P.; Wassermann, B.; Cernava, T.; Abdelfattah, A. (2022): Beneficial Microbes for Agriculture: From Discovery to Applications (Pages: 427-443) in: Good Microbes in Medicine, Food Production, Biotechnology, Bioremediation, and Agriculture Editor(s):Frans J. de Bruijn, Hauke Smidt, Luca S. Cocolin, Michael Sauer, David Dowling, Linda Thomashow. Wiley Online Library, 16 S. Online: https://doi.org/10.1002/9781119762621.ch34 1.0

Monografien nach Herausgeberschaft

• Shamshiri, R.; Hameed, I. (2024): Mobile Robots for Digital Farming. . . CRC Press, Boca Raton, (9781032304663), 208 S. Online: https://www.taylorfrancis.com/books/edit/10.1201/9781003306283/mobile-robots-digital-farming-redmond-shamshiri-ibrahim-hameed 1.0
• Kramer, E.; Rühlmann, J.; Gebbers, R. (2024): Sensorgestützte Kartierung von Bodeneigenschaften für die teilflächenspezifische Kalkung. Textur, pH und Humus: Von den Messwerten zur Streukarte. . . Springer Spektrum, Berlin, (978-3-662-69173-1/978-3-662-69174-8), 193 S. Online: https://link.springer.com/book/10.1007/978-3-662-69174-8 1.0
• Shamshiri, R. (2022): Digital Agriculture, Methods and Applications. . . IntechOpen, London, (978-1-80355-462-4), 166 S. Online: https://www.intechopen.com/books/11343 1.0
• Sultan, M.; Zhou, Y.; Shamshiri, R.; Farooque, A. (2022): Sustainable Agricultural, Biological, and Environmental Engineering Applications. . . Basel, (978-3-0365-2921-9, 978-3-0365-2920-2), 440 S. Online: https://doi.org/10.3390/books978-3-0365-2920-2 1.0
• Sultan, M.; Ahamed, M.; Shamshiri, R.; Shahzad, M. (2022): Energy Systems and Applications in Agriculture. . . Basel, (978-3-0365-5007-7, 978-3-0365-5008-4), 224 S. Online: https://doi.org/10.3390/books978-3-0365-5007-7 1.0
• Meyer-Aurich, A.; Gandorfer, M.; Hoffmann, C.; Weltzien, C.; Bellingrath-Kimura, S.; Floto, H. (2021): Referate der 41. GIL-Jahrstagung. Lecture Notes in Informatics. Volume P-309. 41. GIL-Jahrestagung. Bonn, (978-3-88579-703-6), 420 S. Online: https://gil-net.de/Publikationen/GIL2021_Gesamt_finalb.pdf 1.0

Beiträge zu Sammelwerken

• Hoffmann, T. (2026): Halmgutkonservierung. In: Frerichs, L.(eds.): Jahrbuch Agrartechnik 2025. . Braunschweig, p. 1-9. 1.0
• Jalali, A.; Koch, K.; Schütte, T.; Schröder, S.; Suhr, D.; Tessaro, V.; Dworak, V.; Weltzien, C. (2025): Development and Evaluation of an Innovative Laser System for Precise Intra-Row Weed Control in Seeded Vegetable Crops as Part of the JaetRobi Project. In: 82nd International Conference on Agricultural Engineering Land.Technik AgEng 2025. 82nd International Conference on Agricultural Engineering Land.Technik AgEng 2025. VDI Verlag, Düsseldorf, (0083-5560/978-3-18-092465-6), p. 437-443. 1.0
• Suhr, D.; Tessaro, V.; Koch, K.; Jalali, A.; Dworak, V.; Schröder, S.; Schütte, T.; Weltzien, C. (2025): A Feedback Control Architecture for Low-Cost Lasers and Improved Operational Efficiency in Laser Weed Control. In: 82nd International Conference on Agricultural Engineering Land.Technik AgEng 2025. 82nd International Conference on Agricultural Engineering Land.Technik AgEng 2025. VDI Verlag, Düsseldorf, (0083-5560/978-3-18-092465-6), p. 445-450. 1.0
• Höhne, M. (2025): Explaining 4.0: Künstliche Intelligenz - Transparenz und Effizienz. In: Forschungsberichte Pflichtabgabe (BMFTR, BMWE). . Hannover, p. 1-18. Online: https://doi.org/10.34657/19380 1.0
• Bareeva, D.; Höhne, M.; Warnecke, A.; Pirch, L.; Müller, K.; Rieck, K.; Lapuschkin, S.; Bykov, K. (2025): Manipulating Feature Visualizations with Gradient Slingshots. In: Advances in Neural Information Processing Systems 39 (NeurIPS 2025). NeurIPS 2025. p. 1-38. Online: https://openreview.net/pdf/c7e275543fb73c523928b41f35e776058b9f5b26.pdf 1.0
• Matavel, C.; Meyer-Aurich, A. (2025): Data-driven nitrogen management: Leveraging historical data and machine learning for economic optima. Lecture Notes in Informatics (LNI). In: Informatik in der Land-, Forst- und Ernährungswirtschaft. 45. GIL-Jahrestagung - Informatik in der Land-, Forst- und Ernährungswirtschaft. Bonn, (1617-5468 (Online)), p. 323-328. Online: https://gil-net.de/Publikationen/GIL25_Proceedings_final_01.pdf 1.0
• Fumagalli, F.; Muschalik, M.; Hüllermeier, E.; Hammer, B.; Herbinger, J. (2025): Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. In: Li, Y.; Mandt, S.; Khan, E.(eds.): Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS). AISTATS 2025. PMLR, (2640-3498), p. 1-42. Online: https://proceedings.mlr.press/v258/fumagalli25a.html 1.0
• (2025): Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution. In: Proceedings of the AAAI Conference on Artificial Intelligence. 39th AAAI Conference on Artificial Intelligence (AAAI-25). Washington, DC 20004, USA, (2374-3468/1-57735-897-X), p. 27258-27267. Online: https://doi.org/10.1609/aaai.v39i26.34935 1.0
• Hedström, A.; Amoukou, S.; Bewley, T.; Mishra, S.; Veloso, M. (2025): To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models. In: Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada (ICML 2025). ICML 2025 - International Conference on Machine Learning. Cambridge MA: JMLR Cambridge MA: JMLR, (2640-3498), p. 1-22. Online: https://proceedings.mlr.press/v267/hedstrom25a.html 1.0
• Kazmierczak, R.; Azzolin, S.; Berthier, E.; Hedström, A.; Bousquet, N.; Frehse, G.; Mancini, M.; Caramiaux, B.; Passerini, A.; Franchi, G. (2025): Benchmarking XAI Explanations with Human-Aligned Evaluations. In: Proceedings of ICML 2025. ICML 2025 - International Conference on Machine Learning. p. 1-39. Online: https://openreview.net/forum?id=6KZ80APcxf 1.0

Vorträge und Poster

• Berg, G. (2026): Plant-Microbiome interactions under the lens of the one health concept. 1.0
• Okiobe, S.; Theuerl, S.; Prochnow, A.; Herrmann, C.; Schulz, K.; Schuster-Hankel, S. (2026): Sphingomonas as key drivers of microbiome-mediated nitrous oxide flux hotspots in winter rye cover cropping on a sandy soil in northeast Germany. 1.0
• Tapia Zapata, N.; Fotouo Makouate, H.; Zude-Sasse, M. (2026): Local and 3D data of apple temperature within canopy positions and its relation to postharvest shelf life. 1.0
• Dragoni, F.; Seyedalmoosavi, S.; Balaine, L.; Bonizzi, S.; Sandrucci, A.; Ragaglini, G.; Mittenzwei, K.; Kokemohr, L.; Wilfart, A.; Soule, E.; Fratczak-Müller, J.; Diaz de Otálora Aguirre, X.; Winiwarter, W.; Jorgensen, G.; Amon, B. (2025): DairyMix: Multikriterielle Bewertung für Milchviehhaltungssysteme, die Pflanzenbau und Tierhaltung integrieren. 1.0
• Amon, B.; Amon, T.; Kabelitz, T.; Dragoni, F.; Umar, W.; Seyedalmoosavi, S. (2025): Sustainable agricultural systems as essential prerequisite for one health implementation. 1.0
• Dragoni, F.; Amon, B. (2025): Concepts of One Health in Agriculture. 1.0
• Amon, B. (2025): Planetary Health & Food Security: Earth System Change, Food and Health. 1.0
• Amon, B. (2025): Ammonia mitigation for economic and environmental benefits. 1.0
• Amon, B. (2025): Ammonia mitigation for economic and environmental benefits. 1.0
• Mielenz, M.; Seyedalmoosavi, S.; Görs, S.; Dannenberger, D.; Das, G.; Tränckner, J.; Metges, C. (2025): Amino acid and fatty acid patterns of mineral-enriched black soldier fly larvae through supplementation of sewage sludge recyclates. 1.0

Sonstige Artikel

• Gebbers, R.; Vogel, S. (2024): I4S - Mit Sensortechnologien die Bodenfruchtbarkeit messen. Ressource Boden. p. 18-19. Online: https://www.bmbf.de/SharedDocs/Publikationen/DE/7/1064158_Ressource_Boden.pdf?__blob=publicationFile&v=3 1.0
• Drastig, K.; Junghans, V. (2023): Modelle bestätigen Zusatzwasserbedarf bei Kartoffeln. Bauernzeitung.de. p. 32-33. 1.0
• Drastig, K. (2022): Klaus Meyer Praxis-Talk #09: Mit der Natur arbeiten für mehr Wasser. Bauernzeitung. Für Brandenburg, Mecklenburg-Vorpommern und Sachsen-Anhalt. p. 44-45. 1.0
• Penzel, M.; Tsoulias, N.; Zude-Sasse, M. (2021): Weniger ist manchmal mehr (II) - Forschungsergebnisse zur räumlich aufgelösten Fruchtertragskapazität. Besseres Obst. p. 10-11. Online: https://www.besseres-obst.at/fachartikel/produktion/2021/weniger-ist-manchmal-mehr--ii-.html 1.0
• Käthner, J. (2021): Innovation in der Plantage. Deutsche Baumschule. p. 35. 1.0
• Brunsch, R. (2021): Der notwendige Beitrag der Verbraucher - Das Ernährungsverhalten muss sich ändern. zur debatte. p. 6-7. Online: https://www.kath-akademie-bayern.de/fileadmin/user_upload/debatte_2021-3.pdf 1.0