Georgios Tziotzios
Hello, I’m Georgios Tziotzios, an agronomist and data enthusiast with a Master of Science in Agricultural Engineering and Water Resources from Aristotle University of Thessaloniki.
About
Hello, I’m Georgios Tziotzios, an agronomist and data enthusiast with a Master of Science in Agricultural Engineering and Water Resources from Aristotle University of Thessaloniki. I bring six years of experience in precision agriculture, combining field work with data science to optimize crop health, nutrient management, and traits from orchard to dairy systems. My work spans research proposal drafting, data annotation and integration from hyperspectral, multispectral, and RGB sensors, and the development of ML models to predict health status and crop performance.
I enjoy building end-to-end data pipelines, evaluating precision agriculture systems, and delivering actionable results for vineyards, tomatoes, kiwifruit, and livestock farms. I have contributed to regional, national, and European projects, presented at conferences, and helped deploy digital solutions on platforms such as Eco PPPs and DigiAgriFood. Proficient in Python, ML frameworks, GIS tools, and data visualization, I thrive in collaborative research environments and aim to apply science to real-world farming challenges.
- 11 years' experience
- Joined December 2025
Industry experience
- Agriculture & Mining
- Software & Internet
More experts in Thessaloniki, Greece
Work experience
Data collection from diverse sources (hyperspectral, multispectral, RGB, satellite) in both laboratory and real-world environments; data integration and development of data pre-processing pipelines; training and calibration of machine learning models for predicting health status, disease, and crop fertilization needs using non-destructive remote and proximal sensing methods.
General duties include research and drafting of proposals for regional, national, and European calls; data collection from hyperspectral, multispectral, and RGB sensors; data integration; development and training of machine learning models to predict health status, nutrient content, and quality traits in crops and livestock; evaluation of precision agriculture systems; preparation of project deliverables and participation in conferences; drafting scientific publications. Specifically, contributed to projects such as ATLAS/ Agricultural Interoperability and Analysis System (2020-2023), COWLAM lameness detection (2023-2025), Lameness Detection on sheep and goats (2023-2025), Eco PPPs digital platform integration (2024), and DigiAgrifood deliverables (2025).
Greek translation of English video game content for football/sports titles; adaptation of terminology to Greek gaming audience according to established guidelines.
Education
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