Dr. rer. habil. Manuela Zude-Sasse
Department: Dep. 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 Postharvest Biology and Technology
- Editorial Board Member of the journals Biosystems Engineering, Plant Phenomics, Remote Sensing, Journal of Agricultural and Food Engineering
-National representative in the Management Committee of COST Action CA21142 "Fruit tree Crop REsponse to Water deficit and decision support Systems application (FruitCrews)" (since 1.8.2022)
- VDI Arbeitsgruppenmitglied Gartenbautechnik (since 17.1.2017)
- Member of SMART Farming Technology Research Center (SFTRC) - Precision Farming group, Malaysia (since 30.08.2018)
- Scientific board member of Experimental Station for Fruit Production Müncheberg of LVGA, Germany (since 10.01.2020)
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
- Tsoulias, N.; Saha, K.; Zude-Sasse, M. (2023): In-situ fruit analysis by means of LiDAR 3D point cloud of normalized difference vegetation index (NDVI). Computers and Electronics in Agriculture. (February): p. 107611. Online: https://doi.org/10.1016/j.compag.2022.107611
- Singh, N.; Saha, K.; Makaram, P.; Zude-Sasse, M. (2023): Leaf area estimation of strawberry plants using commercial low-cost LiDAR. Acta Horticulturae. (1360): p. 23-28. Online: https://doi.org/10.17660/ActaHortic.2023.1360.3
- An, X.; Li, Z.; Wegner, G.; Zude-Sasse, M. (2023): Effect of cell size distribution on mechanical properties of strawberry fruit tissue. Food Research International. : p. 112787. Online: https://doi.org/10.1016/j.foodres.2023.112787
- Saha, K.; Tsoulias, N.; Weltzien, C.; Zude-Sasse, M. (2022): Estimation of Vegetative Growth in Strawberry Plants Using Mobile LiDAR Laser Scanner. Horticulturae. (2): p. 90. Online: https://doi.org/10.3390/horticulturae8020090
- Mostafa, H.; Saha, K.; Tsoulias, N.; Zude-Sasse, M. (2022): Using LiDAR technique and modified Community Land Model for calculating water interception of cherry tree canopy. Agricultural Water Management. (October): p. 1-7. Online: https://doi.org/10.1016/j.agwat.2022.107816
- Tsoulias, N.; Xanthopoulos, G.; Fountas, S.; Zude-Sasse, M. (2022): Effects of soil ECa and LiDAR-derived leaf area on yield and fruit quality in apple production. Biosystems Engineering. (Part B): p. 182-199. Online: https://doi.org/10.1016/j.biosystemseng.2022.03.007
- Saha, K.; Zude-Sasse, M. (2022): Estimation of chlorophyll content in banana during shelf life using LiDAR laser scanner. Postharvest Biology and Technology. (October 2022): p. 1-12. Online: https://doi.org/10.1016/j.postharvbio.2022.112011
- Rezaei, Y.; Zude-Sasse, M.; Herppich, W. (2022): Seasonal changes in dendrometer-derived stem variation in apple trees grown in temperate climate. International Agrophysics. (4): p. 245-255. Online: https://doi.org/10.31545/intagr/152037
- Wieme, J.; Mollazade, K.; Malounas, I.; Zude-Sasse, M.; Zhao, M.; Gowen, A.; Argyropoulos, D.; Fountas, S.; Van Beek, J. (2022): Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review. Biosystems Engineering. : p. 156-176. Online: https://doi.org/10.1016/j.biosystemseng.2022.07.013
- Penzel, M.; Pflanz, M.; Gebbers, R.; Zude-Sasse, M. (2021): Tree adapted mechanical flower thinning prevents yield loss caused by over thinning of trees with low flower set in apple. European Journal of Horticultural Science. (1): p. 86-89. Online: https://doi.org/10.17660/eJHS.2021/86.1.10
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/Horticulture, Technical University Berlin (excellent), M.Sc.
1997 Fellowship by the "Freunde der Technischen Universität Berlin"
1999 Ph.D. in Fruit Physiology (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 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