Prof. Dr.-Ing. Cornelia Weltzien
Aufsätze in referierten Fachzeitschriften [42 Results]
- Shamshiri, R.; Azimi, A.; Behjati, M.; Ghasemzadeh, A.; Dworak, V.; Weltzien, C.; Karydis, K.; Cheein, F. (2024): Online path tracking with an integrated H robust adaptive controller for a double-Ackermann steering robot for orchard waypoint navigation. International Journal of Intelligent Robotics and Applications. : p. 1-21. Online: https://doi.org/10.1007/s41315-024-00379-2
- Shamshiri, R.; Sturm, B.; Weltzien, C.; Fulton, J.; Khosla, R.; Schirrmann, M.; Raut, S.; Hanike Basavegowda, D.; Yamin, M.; Hameed, I. (2024): Digitalization of agriculture for sustainable crop production: a use-case review. Frontiers in Environmental Science. : p. 1-32. Online: https://doi.org/10.3389/fenvs.2024.1375193
- Shamshiri, R.; Navas, E.; Dworak, V.; Schütte, T.; Weltzien, C.; Auat Cheein, F. (2024): Internet of robotic things with a local LoRa network for teleoperation of an agricultural mobile robot using a digital shadow. Discover Applied Sciences. (6): p. 414. Online: https://doi.org/10.1007/s42452-024-06106-7
- Saha, K.; Weltzien, C.; Bookhagen, B.; Zude-Sasse, M. (2024): Chlorophyll content estimation and ripeness detection in tomato fruit based on NDVI from dual wavelength LiDAR point cloud data. Journal of Food Engineering. (December): p. 112218. Online: https://doi.org/10.1016/j.jfoodeng.2024.112218
- Shamshiri, R.; Navas, E.; Dworak, V.; Auat Cheein, F.; Weltzien, C. (2024): A modular sensing system with CANBUS communication for assisted navigation of an agricultural mobile robot. Computers and Electronics in Agriculture. (August): p. 109112. Online: https://doi.org/10.1016/j.compag.2024.109112
- Kalnar, Y.; Jalali, A.; Weltzien, C.; Mahajan, P. (2024): Mathematical model and electronic system for real-time O2 control in storage boxes: Development and validation under fluctuating temperatures. Biosystems Engineering. (June 2024): p. 67-79. Online: https://doi.org/10.1016/j.biosystemseng.2024.04.012
- Hanike Basavegowda, D.; 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. (September): p. 100419. Online: https://doi.org/10.1016/j.ese.2024.100419
- Navas, E.; Shamshiri, R.; Dworak, V.; Weltzien, C.; Fernandez, R. (2024): Soft Gripper for Small Fruits Harvesting and Pick and Place Operations. Frontiers in Robotics and AI. : p. 1330496. Online: https://doi.org/10.3389/frobt.2023.1330496
- Sonawane, A.; Chaiwong, S.; Weltzien, C.; Mahajan, P. (2023): A model integrating fruit physiology, perforation, and scavenger for prediction of ethylene accumulation in fruit package. Postharvest Biology and Technology. (March 2024): p. 112734. Online: https://doi.org/10.1016/j.postharvbio.2023.112734
- Mouratiadou, I.; Lemke, N.; Chen, C.; Wartenberg, A.; Bloch, R.; Donat, M.; Gaiser, T.; Hanike Basavegowda, D.; Helming, K.; Hosseini Yekani, S.; Krull, M.; Lingemann, K.; Macpherson, J.; Melzer, M.; Nendel, C.; Piorr, A.; Shaaban, M.; Zander, P.; Weltzien, C.; Bellingrath-Kimura, S. (2023): The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems. Environmental Science and Ecotechnology. (Ocotber): p. 100274. Online: https://doi.org/10.1016/j.ese.2023.100274
Monografien nach Autorenschaft [1 result]
Monografien nach Herausgeberschaft [2 Results]
- 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. Gesellschaft für Informatik, Bonn, (978-3-88579-703-6), 420 S. Online: https://gil-net.de/Publikationen/GIL2021_Gesamt_finalb.pdf
- Weltzien, C.; Krüger, J.; Meyer, H. (2018): 6th International Conference on Machine Control and Guidance. Bornimer Agrartechnische Berichte. Heft 101. MCG2018 - 6th International Conference on Machine Control and Guidance. Leibniz-Institut für Agrartechnik und Bioökonomie e.V., Potsdam, (0947-7314), 144 S. Online: https://www.atb-potsdam.de/fileadmin/docs/Publikationen/BAB_Heft_101.pdf
Beiträge zu Sammelwerken [31 Results]
- Shamshiri, R.; Navas, E.; Käthner, J.; Höfner, N.; Koch, K.; Dworak, V.; Hameed, I.; Paraforos, D.; Fernández, R.; Weltzien, C. (2024): Agricultural Robotics to Revolutionize Farming. Requirements and Challenges. In: Shamshiri, R.; Hameed, I.(eds.): Mobile Robots for Digital Farming. . CRC Press, Boca Raton, (9781003306283), p. 107-155.
- Liu, S.; Hedström, A.; Hanike Basavegowda, D.; Weltzien, C.; Höhne, M. (2024): Explainable AI in grassland monitoring: Enhancing model performance and domain adaptability. In: Hoffmann, C.; Stein, A.; Gallmann, E.; Dörr, J.; Krupitzer, C.; Floto, H.(eds.): Informatik in der Land-, Forst- und Ernährungswirtschaft. Focus: Biodiversität fördern durch digitale Landwirtschaft: Welchen Beitrag leisten KI und Co?. 44. GIL-Jahrestagung - Biodiversität fördern durch digitale Landwirtschaft: Welchen Beitrag leisten KI und Co?. Gesellschaft für Informatik (GI), Bonn, (1617-5468/978-3-88579-738-8), p. 143-154. Online: https://gil-net.de/wp-content/uploads/2024/02/GI_Proceedings_344-3.f-1.pdf
- Hanike Basavegowda, D.; Höhne, M.; Weltzien, C. (2024): Deep Learning-based UAV-assisted grassland monitoring to facilitate Eco-scheme 5 realization. In: Hoffmann, C.; Stein, A.; Gallmann, E.; Dörr, J.; Krupitzer, C.; Floto, H.(eds.): Informatik in der Land-, Forst- und Ernährungswirtschaft. Focus: Biodiversität fördern durch digitale Landwirtschaft: Welchen Beitrag leisten KI und Co?. 44. GIL-Jahrestagung - Biodiversität fördern durch digitale Landwirtschaft: Welchen Beitrag leisten KI und Co?. Gesellschaft für Informatik (GI), Bonn, (1617-5468/978-3-88579-738-8), p. 197-202. Online: https://gil-net.de/wp-content/uploads/2024/02/GI_Proceedings_344-3.f-1.pdf
- Sonawane, A.; Weltzien, C.; Mahajan, P. (2023): Investigating the influence of temperature on ethylene removal kinetics for commercial scavenger. In: Mahajan, P.; Zude-Sasse, M.; Geyer, M.(eds.): VII International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain - Model-IT 2023. Model-It 2023 - VII International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain. ISHS, Leuven, (0567-7572; 2406-6168; 978 94 6261 381 2), p. 125-130. Online: https://doi.org/10.17660/ActaHortic.2023.1382.16
- Schütte, T.; Koch, K.; Dworak, V.; Weltzien, C. (2023): LiDAR Assisted Semi-automatic Mapping and Path Planning Approach for Autonomous Mobile Robots in Vineyards and Orchards. In: 80th International Conference on Agricultural Engineering. LAND.TECHNIK AgEng 2023. 80th International Conference on Agricultural Engineering. LAND.TECHNIK AgEng 2023. VDI Verlag GmbH, Düsseldorf, (0083-5560, 978-3-18-092427-4), p. 199-207.
- Shamshiri, R.; Navas, E.; Dworak, V.; Fernández, R.; Schütte, T.; Weltzien, C. (2023): Teleoperation of an Agricultural Mobile Robot inside Berry Orchard using LoRa Connectivity. In: 80th International Conference on Agricultural Engineering. LAND.TECHNIK AgEng 2023. 80th International Conference on Agricultural Engineering. LAND.TECHNIK AgEng 2023. VDI Verlag GmbH, Düsseldorf, (0083-5560, 978-3-18-092427-4), p. 191-197.
- Mahajan, P.; Jalali, A.; Linke, M.; Weltzien, C. (2023): Developing an electronic model-based control system for temperaturedependent gas modification in a fruit storage container. In: VII International Symposium Applications of Modelling as an InnovativeTechnology in the Horticultural Supply Chain - Model It 2023. Model-It 2023 - VII International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain. p. 29-29. Online: https://model-it2023.atb-potsdam.de/fileadmin/Projekte/Model-IT2023/Book_of_Abstract_Model-It_2023.pdf
- Kalnar, Y.; Jalali, A.; Weltzien, C.; Mahajan, P. (2023): Model-based gas control strategy applied to storage container for broccoli under varying temperatures. In: VII International Symposium Applications of Modelling as an InnovativeTechnology in the Horticultural Supply Chain - Model It 2023. Model-It 2023 - VII International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain. p. 13-13. Online: https://model-it2023.atb-potsdam.de/fileadmin/Projekte/Model-IT2023/Book_of_Abstract_Model-It_2023.pdf
- Sonawane, A.; Mahajan, P.; Weltzien, C. (2023): A model-based approach for simulation of ethylene accumulation inside perforated modified atmospheric packaging. In: VII International Symposium Applications of Modelling as an InnovativeTechnology in the Horticultural Supply Chain - Model It 2023. Model-It 2023 - VII International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain. p. 12-12. Online: https://model-it2023.atb-potsdam.de/fileadmin/Projekte/Model-IT2023/Book_of_Abstract_Model-It_2023.pdf
- Shokrian Zeini, M.; Shamshiri, R.; Dworak, V.; Käthner, J.; Höfner, N.; Navas, E.; Weltzien, C. (2023): Overview of control systems for robotic harvesting of sweet peppers and apples. In: Hoffmann, C.; Stein, A.; Ruckelshausen, A.; Müller, H.; Steckel, T.; Floto, H.(eds.): Resiliente Agri-Food-Systeme. Referate der 43. GIL-Jahrestagung. 43. GIL-Jahrestagung - Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. Gesellschaft für Informatik, Bonn, (1617-5468/978-3-88579-724-1), p. 543-548. Online: https://gil-net.de/wp-content/uploads/2023/01/GIL_2023_Tagungsband_final_8.2..pdf
Vorträge und Poster [72 Results]
- Weltzien, C.; Darvishi, A.; Hanike Basavegowda, D. (2024): Digital tools for biodiversity monitoring.
- Sonawane, A.; Chaiwong, S.; Weltzien, C.; Mahajan, P. (2024): A model integrating physiology, perforation, and scavenger for prediction of ethylene accumulation in fresh produce package.
- Weltzien, C. (2024): AI and Agriculture - How can digitalisation foster sustainability in Ag. Keynote Speech.
- Schütte, T.; Koch, K.; Dworak, V.; Weltzien, C. (2024): Safe and robust: 3D mapping for soft collision prediction of autonomous mobile robots in orchards.
- Liu, S.; Hedström, A.; Hanike Basavegowda, D.; Weltzien, C.; Höhne, M. (2024): Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability.
- Tessaro, V.; Hänel, T.; Porrmann, M.; Tapken, H.; Weltzien, C. (2024): A Hybrid Digital Twin Using Sensor Simulation for Physics-Informed Intelligent Predictive Maintenance.
- Hanike Basavegowda, D.; Höhne, M.; Weltzien, C. (2024): Deep Learning-based UAV-assisted grassland monitoring to facilitate Eco-scheme 5 realization.
- Kalnar, Y.; Jalali, A.; Sonawane, A.; Weltzien, C.; Mahajan, P. (2024): Temperature Responsive Dynamic O2 Control in Fresh Produce Modified Atmosphere Transport container.
- Shamshiri, R.; Navas Merlo, E.; Afrasiyabi, B.; Corredor, E.; Mahboubi, M.; Seydabari, A.; Sakal, B.; Majidi, K.; Dworak, V.; Weltzien, C. (2023): Internet of Robot Things and Digital Twin for Teleoperation of an Agricultural Mobile Robot.
- Shamshiri, R.; Navas Merlo, E.; Dworak, V.; Schütte, T.; Weltzien, C. (2023): Teleoperation of an Agricultural Mobile Robot inside Berry Orchard using LoRaWAN Sensors.