Assist. Prof. Dr Xanthoula Eirini Pantazi | Materials Science | Best Researcher Award

🌾 Dr. Xanthoula Eirini Pantazi is an Assistant Professor at Aristotle University of Thessaloniki, specializing in precision agriculture, artificial intelligence, and biosystems engineering. πŸŽ“ She holds a Ph.D. in Biosystems Engineering and has contributed extensively to AI-driven agricultural solutions, machine learning, and sensor fusion. πŸš€ Dr. Pantazi has been involved in 20+ EU-funded projects, including Horizon 2020 initiatives. Her expertise spans decision support systems, UAV applications, and crop monitoring. 🌱 She has received prestigious scholarships and keynote speaker invitations at international conferences. πŸ† Her research continues to advance smart farming and sustainable agriculture. πŸŒπŸ“‘

Assist. Prof. Dr Xanthoula Eirini Pantazi Aristotle University of Thessaloniki, School of Agriculture Greece

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Research Expertise 🌾

Assist. Prof. Dr. Xanthoula Eirini Pantazi is a distinguished researcher in biosystems engineering, holding a Ph.D. in Biosystems Engineering from Aristotle University of Thessaloniki, Greece. πŸ›οΈ Her expertise lies in bio-inspired computational systems, data mining, and artificial intelligence applications in agriculture. πŸŒ±πŸ“Š Over the years, she has contributed to 20+ EU-funded research projects, serving as a coordinator and work package leader in multiple Horizon 2020, PRIMA, and ERANET projects. πŸš€ Dr. Pantazi has also authored 26 scientific papers, 9 book chapters, and the monograph “Intelligent Data Mining and Fusion Systems in Agriculture.” πŸ“–

ExperienceΒ πŸš€

Assist. Prof. Dr. Xanthoula Eirini Pantazi has an extensive academic and research background in precision agriculture and bio-systems engineering. Since 2020, she has been an Assistant Professor at the Faculty of Agriculture, Forestry, and Natural Environment at Aristotle University of Thessaloniki, Greece. πŸ›οΈ From 2016 to 2019, she worked as an Adjunct Lecturer, teaching undergraduate courses in agricultural engineering. πŸ“š Additionally, she served as a Research Engineer and Technical Manager at CERTH (2016-2020) and contributed to major EU-funded research projects as a Research Engineer at Aristotle University (2013-2020). πŸ”¬πŸŒΎ

Scholarly Contributions βœοΈπŸ”¬

Assist. Prof. Dr. Xanthoula Eirini Pantazi has significantly contributed to the field of precision agriculture and artificial intelligence through her numerous book chapters. Her work includes data fusion for soil and crop sensing, leaf disease recognition using machine learning, and hyperspectral sensing for weed and crop differentiation. πŸŒΎπŸ“‘ She has co-authored chapters in Springer and Wageningen Academic Publishers, focusing on AI applications in farming, sustainable agriculture, and bioinformatics. Her expertise in remote sensing, spectral data analysis, and machine learning models has helped develop innovative solutions for smart farming and soil health monitoring. πŸšœπŸ€–

πŸ“‘ Scientific Research πŸ”¬πŸŒΎ

Assist. Prof. Dr. Xanthoula Eirini Pantazi has led and contributed to numerous EU-funded and international research projects in precision agriculture, AI-driven crop monitoring, and smart farming solutions. As a principal investigator and work package leader, she has developed machine learning models for disease detection, decision support systems (DSS) for sustainable farming, and sensor fusion techniques for soil and crop health assessment. πŸš€πŸ“Š Her projects include Horizon 2020 initiatives (AfriCultuReS, SiEUSOIL, ATLAS, STARGATE), ICT-AGRI ERANET, and PRIMA projects. Her work integrates AI, robotics, and IoT-based solutions, advancing climate-resilient and precision-driven agricultural systems. πŸŒπŸ€–

Research Focus πŸ”βœ¨

Assist. Prof. Dr. Xanthoula Eirini Pantazi’s research focuses on applying machine learning, advanced sensing, and data fusion in agriculture πŸŒΎπŸ’». Key areas include crop yield prediction using machine learning and sensing techniques πŸ“ŠπŸŒ±, disease detection in plants through image analysis and spectroscopy πŸ¦ πŸ”¬, and weed recognition using hyperspectral sensing and UAV imagery 🚁🌾. She also works on soil health monitoring and water stress detection using multisensor fusion πŸ’§πŸŒ. Dr. Pantazi’s contributions aim to optimize agricultural practices through innovative technologies, improving sustainability and precision in farming 🌿🚜.

Publications πŸ“š

Forecasting of Fusarium head blight spatial distribution in winter wheat using machine learning
Authors: Morellos, A., Pantazi, X.E., Almoujahed, M.B., Ε arauskis, E., Mouazen, A.M.
Journal: Computers and Electronics in Agriculture (2025)
πŸŒΎπŸ’»

Non-Destructive Quality Estimation Using a Machine Learning-Based Spectroscopic Approach in Kiwifruits
Authors: Tziotzios, G., Pantazi, X.E., Paraskevas, C., Michailidis, M., Molassiotis, A.
Journal: Horticulturae (2024)
πŸ₯πŸ“Š

A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop
Authors: Dolaptsis, K., Pantazi, X.E., Paraskevas, C., Bustan, D., Mouazen, A.M.
Journal: Agriculture (2024)
πŸŒΎπŸ€–

Application of Machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data
Authors: Navrozidis, I., Pantazi, X.E., Lagopodi, A., Bochtis, D., Alexandridis, T.K.
Journal: Remote Sensing (2023)
πŸŒΏπŸ’»

Early Detection of Cavitation in Centrifugal Pumps Using Low-Cost Vibration and Sound Sensors
Authors: Karagiovanidis, M., Pantazi, X.E., Papamichail, D., Fragos, V.
Journal: Agriculture (2023)
βš™οΈπŸ”Š

Assist. Prof. Dr Xanthoula Eirini Pantazi | Materials Science | Best Researcher Award