جستجوی استاد راهنمای دانشگاهی

Tina Kabelitz is a Researcher at the Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB) , leading the working group Infections and AMR in Farm Animals since September 2021. Her work integrates sensor technology, digitalization, and artificial intelligence to address antimicrobial resistance (AMR) in livestock systems through a One Health approach. Education : PhD in Epigenetics of Plants (University of Potsdam, 2011-2015) MSc Molecular and Cellular Biology (University of Potsdam, 2009-2011) BSc Molecular Biology/Physiology (University of Potsdam, 2006-2009) Her research focuses on antimicrobial resistance dynamics in livestock, particularly through environmental pathways in pig and poultry farming. She investigates resilient housing design for biosecurity and animal welfare, microbiome changes in manure storage , and machine learning-based mastitis risk assessment using multisensor systems. Her projects include LeibnizLabPP (pandemic preparedness), AirBarn (bioaerosol AMR transmission), ENVIRE (AMR control in chicken systems), and AMR-PIG (AMR spread mechanisms). Recent publications analyze AMR gene dynamics in manure systems (2025), machine learning applications for mastitis prediction (2025), and environmental impacts of dairy farming mitigation strategies (2024). Her work emphasizes systemic solutions like anaerobic digestion plants and slurry injection techniques to reduce emissions.

• Antimicrobial Resistance (AMR)
• One Health
• Sensor Technology
• +۷ مورد دیگر

Marius Hobart is a Researcher at the Agromechatronics Department of the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany. His work focuses on UAV technology for agricultural monitoring, including 3D point cloud analysis , precision crop protection , and remote sensing applications . Key Research Areas: Precision agriculture using drone-based photogrammetry Disease and drought monitoring in crops Automated fruit detection and yield estimation Optimization of UAV flight parameters for data quality Projects: AgriNose : UAV-based electronic nose systems for agricultural monitoring SustInAfrica : Sustainable intensification of food production in Africa CORONA-pro : Aerial robot platforms for precise crop protection Scientific Contributions include automated algorithms for apple detection via RGB-to-HSV transformation, DBSCAN clustering, and sphere fitting to estimate fruit volume and mass. His 2025 study demonstrated superior performance at 10m UAV altitude compared to 7.5m for apple orchard mapping.

• Precision Agriculture
• Remote Sensing
• UAV Technology
• +۳ مورد دیگر

Hüseyin Ayaz is a researcher at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany. He is affiliated with the System Process Engineering department, which focuses on optimizing agricultural processes and sustainable resource utilization. Key Competences: Microbiome analysis, biotechnology, technology assessment, agromechatronics, sensors and modeling, data science in bioeconomy. Research Focus: Wetland biomass management (e.g., WetNetBB project), diversified crop production, and multifunctional biomaterials. Contact: Email: HAyaz@atb-potsdam.de

• Agricultural Engineering
• Biotechnology
• Environmental Systems Engineering
• +۵ مورد دیگر

Karl-Heinz Dammer is a senior researcher at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany, specializing in the Agromechatronics department. With over 25 years of experience, his work focuses on sensor-based crop protection , precision agriculture , and machine learning applications for weed and disease detection. He has contributed to projects like Precision PS for targeted pesticide use and FungiDetect for early disease identification. Habilitation : Martin Luther University Halle-Wittenberg (2000) Education : Agricultural Sciences (1980-1985), Doctorate in Phytopathology (1988) Key Research Areas : Image segmentation for weed detection, sensor-guided crop protection, and agricultural robotics His recent publications emphasize deep learning models like U-Net for identifying weeds (e.g., Bur Chervil) and diseases (e.g., stripe rust in wheat) using RGB imagery and UAV-based systems. Collaborations span institutions in Germany, Iran, and international teams. Awards include the LEOPOLDINA Prize (1992) for early career achievements.

• Precision Agriculture
• Sensor Technology in Crop Production
• Machine Learning for Weed Detection
• +۳ مورد دیگر

Tjark Schütte is a Researcher in the Department of Agromechatronics at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany. His work focuses on integrating robotics, sensor technology, and data science into agricultural systems. Schütte contributes to projects like SMART4ALL, which develops self-sustained cyberphysical systems for European stakeholders. His research spans precision agriculture, autonomous mobile robots, and IoT applications. Recent publications highlight his expertise in robotic teleoperation and aerial photogrammetry for horticultural automation. Schütte collaborates with international teams on topics such as digital shadows and LoRa-based communication systems. Contact: TSchuette@atb-potsdam.de | Phone: +49 331 5699-433

• Agromechatronics
• Agricultural Robotics
• Internet of Things
• +۴ مورد دیگر

Deepak Hanike Basavegowda is a researcher in the Agromechatronics department at the Leibniz Institute for Agricultural Engineering and Bioeconomy in Potsdam, Germany. His work focuses on integrating deep learning , UAV technology , and IoT systems to advance sustainable agricultural practices through automated decision-making and biodiversity monitoring. Key projects : DAKIS-pro (Digital Agricultural Knowledge and Information System), Eco-Scheme 5 implementation Technologies : UAV-based remote sensing, robotics, precision farming systems His research bridges machine learning with agricultural challenges, particularly in grassland biodiversity monitoring and early disease detection . Recent publications highlight his contributions to digitalization frameworks that optimize resource use while reducing environmental impacts through automated systems. Scientific contributions span UAV-assisted deep learning for ecological monitoring, Explainable AI applications in agriculture, and intelligent fault detection systems for controlled environment agriculture. Current efforts focus on deploying these technologies for large-scale sustainable farming solutions.

• Agromechatronics
• Precision Farming
• Remote Sensing
• +۳ مورد دیگر

Mostafa Shokrian Zeini is a researcher at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) , specializing in the Agromechatronics Department . His work bridges control theory, robotics, and agricultural technology, with a focus on Model-in-the-Loop (MIL) , Software-in-the-Loop (SIL) , and Hardware-in-the-Loop (HIL) systems. Research Interests: Agricultural Robotics Visual Servoing Nonlinear Control Synthesis Uncertain Complex Systems Recent Projects: foodChain – 5G integration in the Golßen-Mittenwalde-Schönefeld region Development of robotic harvesting systems for sweet peppers, apples, and blueberries Review of field robots for potato cultivation Collaborations: 43rd GIL Annual Conference Joint work with institutions like Shiraz University of Technology and Hamedan University of Technology

• Agricultural Robotics
• Control Theory
• Visual Servoing
• +۵ مورد دیگر

Laura Carolin Rheinfels is a Researcher at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany, affiliated with the Department of Technology Assessment and Agromechatronics. Her work bridges agricultural engineering, data science, and policy analysis to address sustainable farming challenges. Her research spans technology assessment methodologies, agromechatronics integration, AI-driven agricultural systems, diversified crop production models, and governance frameworks in agricultural contexts. She focuses on precision farming innovations and socio-technical solutions for bioeconomy transitions, particularly through interdisciplinary collaborations that connect engineering with social sciences. Dr. Rheinfels actively contributes to major initiatives including the Joint Lab AI & DS (a University of Osnabrück-ATB partnership training doctoral students at the agriculture-AI interface) and the NeuLandBB project advancing diversified, networked crop production systems for Brandenburg's agricultural sector. These projects demonstrate her commitment to translating research into practical agricultural innovations through funded model demonstrations and cross-institutional knowledge transfer.

• Technology Assessment
• Agromechatronics
• Artificial Intelligence in Agriculture
• +۳ مورد دیگر

Dr. Sebastian Vogel is a Scientist and Working Group Leader for "Sensor-based soil mapping" at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany. He leads research in precision agriculture and sensor technology within the Agromechatronics Department, focusing on developing innovative approaches for soil property assessment and agricultural management. Dr. Vogel earned his Dr. rer. nat. from the University of Tübingen in 2011 and completed his Diplom in Geoecology at the University of Potsdam in 2005. His professional journey includes positions at multiple prestigious institutions including the University of Potsdam (2015-2018), German Archaeological Institute in Berlin (2014-2015 and 2007-2009), University of Tübingen (2011-2014), and Heidelberg Academy of Sciences (2009-2011). His research spans soil science, precision agriculture, sensor-based soil mapping, geomorphology, and landscape sensitivity. Dr. Vogel's work bridges agricultural engineering with environmental science, developing practical applications for sustainable farming through advanced sensing technologies. His expertise particularly focuses on soil pH measurement, sensor fusion, and precision management of soil fertility. Dr. Vogel leads multiple significant research projects including SQAT (Soil Quality Analysis Tool), Soil-X-Change, DaVaSus, I4S (Intelligence for Soil), ph-BB (Precision Liming in Brandenburg), and MetaGülle. These initiatives address critical challenges in precision agriculture through digitalization, robotics, and intelligent algorithms. His recent publications (2024-2025) demonstrate a strong research trajectory in soil sensor technology and digital soil mapping. The work shows consistent focus on practical applications of sensor data for precision agricultural management, with particular emphasis on soil pH measurement under varying field conditions and multi-sensor approaches to soil property prediction. Dr. Vogel collaborates extensively with researchers across Germany and internationally, contributing to the advancement of precision agriculture technologies. His work provides valuable insights for farmers implementing site-specific management practices to optimize resource use and improve agricultural sustainability.

• Soil science
• Precision agriculture
• Sensor-based soil mapping
• +۲ مورد دیگر

Manuela Zude-Sasse is a Research Professor at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany, and former Professor at Beuth University of Applied Sciences Berlin (2009–2017). As Working Group Leader for Precision Horticulture, she focuses on spectro-optical measurement methods (LiDAR, hyperspectral analysis) for fruit quality assessment, canopy modeling, and data science applications in bioeconomy. M.Sc. in Chemistry/International Agronomy (1996, TU Berlin) Ph.D. in Horticulture summa cum laude (1999, TU Berlin) Habilitation in Applied Plant Physiology (2004, Humboldt University) Her research spans Precision Fruit Production , Plant Phenotyping , and 3D Sensor Integration , with projects like CrackSense (fruit cracking prediction) and horDIGrow (resource-efficient horticulture). She employs LiDAR, hyperspectral imaging, and time-resolved fluorescence to analyze temperate and tropical fruits. Recent publications in Plant Phenomics and Horticulturae demonstrate her work on spatial chlorophyll estimation via LiDAR and fruit water stress indices. Her studies in the Journal of Food Engineering (2024) and Postharvest Biology and Technology (2023) highlight machine learning applications for ripeness detection and 3D canopy analysis. Technology Transfer Award (State of Brandenburg, 2003) Silver Medal for Innovation (Agritechnica, 2017) She leads the SMART Farming Technology Research Center (SFTRC) collaboration in Malaysia and serves on editorial boards for Plant Phenomics , International Agrophysics , and Biosystems Engineering . Her 3D point cloud methodologies enable non-contact fruit biomechanics and nutrient management studies.

• Precision Horticulture
• Spectro-optical Measurement Methods
• LiDAR and Hyperspectral Sensing
• +۴ مورد دیگر