Dr. rer. habil. Manuela Zude-Sasse
Department: Agromechatronics
Program areas
Research areas
Precision Horticulture considering
- Physical properties of fresh fruit
- In-situ analysis of fruits from subtropics and temperate climate by means of spectral-optical analysis (multispectral LiDAR, multi- and hyperspectral methods, time-resolved laser-induced fluorescence spectroscopy, laser-induced backscattering imaging)
- Applications of in-situ analysis in agronomic models (estimation of fruit bearing capacity for controlling fruit quality at harvest, modelling the influence of preharvest environmental factors on postharvest quality)
Scientific activities
Associate Editor of Plant Phenomics, Science Partner Journal (since 1.7.2022)
Editorial Board Member: International Agrophysics
Editorial Board Member of the journals Biosystems Engineering, Remote Sensing, Journal of Agricultural and Food Engineering
Country representative in Management Committee der COST-Aktion CA21142 "Fruit tree Crop REsponse to Water deficit and decision support Systems application (FruitCrews)" (since 1.8.2022)
Country representative at International Society of Precision Agriculture (since 01.06.2023)
Member of SMART Farming Technology Research Center (SFTRC) - Precision Farming group, Malaysia (since 30.08.2018)
Member of Scientific Advisory board of Fruit Research Station Müncheberg by LVGA (since 10.01.2020)
Member of Scientific Advisory Board of Versuchszentrums Laimburg (since 01.04. 2022)
Projects
- CrackSense – High throughput real-time monitoring and prediction of fruit cracking by utilising and upscaling sensing and digital data technologies Im Obstbau bedeutet das Aufplatzen von Früchten eine gravierende Schädigung und damit eine erhebliche …
- FruitCREWS – Fruit tree Crop REsponses to Water deficit and decision support Systems applications Aufgrund des Klimawandels stellen Wasserknappheit und ein erhöhter Evapotranspirationsbedarf eine ernsthafte Herausforderung für die Landwirtschaft welt…
- SPECTROFOOD – Information Agrifood quality estimation using hyperspectral techniques Eine der wichtigsten Herausforderungen, vor denen die moderne Welt steht, ist die Versorgung der Bevölkerung mit sicheren Lebensmitteln in ausreichender Menge. Es si…
- IRRIWELL – A novel plant-based approach to estimate irrigation water needs and apply optimal deficit strategy - Specific project: Reference data for sensor calibration and implementation of sensor data in physiological models - Einbindung von Fernerk…
- 3DForEcoTech – Three-dimensional forest ecosystem monitoring and better understanding by terrestrial-based technologies Die COST-Action 3DForEcoTech zielt darauf ab, ein starkes Netz von Wissenschaftlern und Interessenvertretern (d. h. Praktikern) so…
- AgriPhotonik – Wissensbasierte, standortangepasste und nachhaltige Pflanzenproduktion mittels optischer Verfahren (Deutschland/Israel) Ziel des Netzwerks, das auf israelischer Seite vom Volcani Center ARO koordiniert wird, ist die Entwicklung praxis…
- SHEET – Sunburn and HEat prediction in canopies for Evolving a warning Tech solution. Der Anstieg der globalen Strahlung und der Temperaturen im Zuge des Klimawandels bedeuten für die Obstproduktion enorme Risiken. Auswirkungen auf die Qualität und L…
- pineappleAI – Artificial intelligence system for pineapples quality evaluation on in-field and during storage KI-System zur Bewertung der Qualität von Ananas auf dem Feld und während der Lagerung Artificial intelligence system for pineapples quality …
- ALLOM – Methoden der multispektralen LiDAR-Analysen für allometrische Messungen Mit Hilfe von 3D-Punktewolken unter Berücksichtigung von radiometrischen Informationen sollen Wachstumsdaten in Obstanlagen (Apfel und Süßkirsche) aufgenommen werden. Die…
- FRUTIC2019 – Innovations in the Postharvest Supply Chain of Fresh Produce (FRUTIC2019) Im Rahmen einer Vernetzungs- und Sondierungsreise nach Asien soll die Kooperation mit exzellenten Partnern in Malaysia, Thailand und HongKong auf dem Gebiet Nacher…
Publications
- Penzel, M.; Tsoulias, N.; Zude-Sasse, M. (2024): Ein Modell zur Bestimmung der Fruchtertragskapazität von Apfelbäumen und deren Variabilität in Erwerbsanlagen. Journal für Kulturpflanzen. (01): p. 60-76. Online: https://doi.org/10.5073/JfK.2024.01.09
- Tsoulias, N.; Khosravi, A.; Herppich, W.; Zude-Sasse, M. (2024): Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud. Plant Phenomics. : p. 252. Online: https://doi.org/10.34133/plantphenomics.0252
- Tapia Zapata, N.; Winkler, A.; Zude-Sasse, M. (2024): Occurrence of wetness on the fruit surface modeled using spatio-temporal temperature data from sweet cherry tree canopies. Horticulturae. (7): p. 757. Online: https://doi.org/10.3390/horticulturae10070757
- Zude-Sasse, M.; Regen, C.; Jörissen, S.; Bignardi, M.; Tsoulias, N. (2024): Fruit surface temperature data at different ripeness stages and ambient temperature provided as temperature-annotated 3D point clouds of apple trees. Data in Brief. (August): p. 110762. Online: https://doi.org/10.1016/j.dib.2024.110762
- 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
- An, X.; Kopka, J.; Rode, M.; Zude-Sasse, M. (2024): Relationship of cell size distribution and biomechanics of strawberry fruit under varying Ca and N supply. Food and Bioprocess Technology. : p. 1-15. Online: https://doi.org/10.1007/s11947-024-03491-0
- Yang, Z.; Li, M.; East, A.; Zude-Sasse, M. (2024): Understanding changes of laser backscattering imaging parameters through the kiwifruit softening process using time series analysis. New Zealand Journal of Crop and Horticultural Science. (3): p. 240-264. Online: https://doi.org/10.1080/01140671.2024.2348139
- Tapia Zapata, N.; Saha, K.; Tsoulias, N.; Zude-Sasse, M. (2024): A geometric modelling approach to estimate apple fruit size by means of LiDAR 3D point clouds. International Journal of Food Properties. (1): p. 566-583. Online: https://doi.org/10.1080/10942912.2024.2330494
- Malounas, I.; Vierbergen, W.; Kutluk, S.; Zude-Sasse, M.; Yang, K.; Zhao, M.; Argyropoulos, D.; Van Beek, J.; Ampe, E.; Fountas, S. (2024): SpectroFood dataset: A comprehensive fruit and vegetable hyperspectral meta-dataset for dry matter estimation. Data in Brief. (February): p. 110040. Online: https://doi.org/10.1016/j.dib.2024.110040
- Nicolai, B.; Zude-Sasse, M.; Verboven, P. (2023): Special Issue: Data analytics and artificial intelligence in postharvest biology and technology. Postharvest Biology and Technology. (February 2024): p. 112672. Online: https://doi.org/10.1016/j.postharvbio.2023.112672
Veröffentlichungen vor ATB-Zugehörigkeit
Zude M, ed. (2009). Optical Monitoring of Fresh and Processed Agricultural Crops. ISBN: 9781420054026, ISBN-10: 1420054023, CRC Press, 576 pp. https://www.crcpress.com/Optical-Monitoring-of-Fresh-and-Processed-Agricultural-Crops/Zude/9781420054026
Konzeptionelles Projekt zum Präzisionsgartenbau: http://www2.atb-potsdam.de/3d-mosaic/Project.aspx
Curriculum Vitae
1996 Chemistry/International Agronomy, Technical University Berlin (excellent), M.Sc.
1997 Fellowship by the "Freunde der Technischen Universität Berlin"
1999 Ph.D. in Horticulture (summa cum laude), Technical University Berlin
1999 - 2003 Researcher at ATB
2001/2003 Fellowship by the University of Florida, USA
2003 Funding the Start-up company Regelungstechnik in der Physiologie (Control in applied Physiology) CP; Technology Transfer Award of the State Brandenburg
2003 - 2004 Postdoc at INRA, France
2004 Habilitation in Applied Plant Physiology, Humboldt-Universität zu Berlin
2005 - 2008 Researcher at ATB
2009 Research visit at the Central Queensland University
2009 - 2017 Professor at Beuth University of applied Sciences Berlin
2017 Silver medal for Innovation at Agritechnica, Germany
since 2015 and ongoing Group leader with ATB on PRECISION HORTICULTURE