About Me

I am a PhD student at the Department of Biosystems Engineering and Precision Technology, Albert Kázmér Mosonmagyaróvár Faculty of Agricultural and Food Sciences, Széchenyi István University (since 2023), and a researcher at AXIÁL Ltd., Baja (since 2024). My doctoral work is supported by the Cooperative Doctoral Programme (KDP) scholarship.

My research connects image processing with practical field problems: finding weeds and crop rows in UAV imagery, building weed pressure maps for variable-rate application, and monitoring tomato crops. I compare classical feature-based methods, which work with very little training data, against deep learning (YOLO), and choose the approach by the data and computing budget a real farm has.

Before agriculture I worked for two decades as an engineer, programmer and mathematician, starting as an image-processing researcher at the KFKI Research Institute for Particle and Nuclear Physics (medical and industrial image analysis), then in statistical modelling and software for gaming systems, and in web and IT project work. This engineering background shapes how I build research tools: reproducible, efficient and usable outside the lab.

Download CV (PDF)

Research interests

• Weed detection and site-specific weed management
• Crop row detection and weed pressure mapping from UAV imagery
• Feature-based vs deep-learning computer vision with limited data
• Tomato monitoring: ripeness, yield estimation, illumination effects
• Variable-rate spraying workflows from image to sprayer

Education

• 2023 –
  PhD studies (Precision agriculture, image processing and AI)
  Széchenyi István University, Mosonmagyaróvár, Hungary
• 2003 – 2005
  Postgraduate specialist engineer in banking informatics
  Budapest University of Technology and Economics (BME)
• 2001 – 2007
  Biomedical engineer (Egészségügyi mérnök)
  BME
• 1998 – 2003
  Electrical engineer (Villamosmérnök)
  BME, Faculty of Electrical Engineering and Informatics

Positions

• 2024 –
  Researcher
  AXIÁL Ltd., Baja – image processing, AI, weed detection
• 2023 –
  PhD student
  Széchenyi István University – image processing and AI research
• 2021 – 2023
  Project coordinator and editor, web development
  StudioVino Ltd.
• 2020 – 2021
  IT specialist
  Székely Szeretetszolgálat Foundation
• 2017 – 2020
  Online platform manager, web developer
  Promo Tilika
• 2015 – 2017
  IT specialist, programmer, WordPress developer
  CEMS Ltd.
• 2013 – 2015
  Horizontal IT specialist (EU-funded TÁMOP project)
  National Employment Office
• 2012 – 2013
  System developer, statistical modelling
  Creative Gaming Solutions Ltd.
• 2004 – 2012
  Mathematician, programmer
  Rabbit Gaming Ltd.
• 2002 – 2004
  Programmer-researcher, medical and industrial image processing
  MTA KFKI Research Institute, Budapest

Skills and languages

• Computer vision and image processing; UAV image analysis
• Machine learning: SVM, random forest, gradient boosting, KNN, neural networks; YOLO object detection
• Statistics and mathematical modelling
• Programming: C, C++, SQL, JavaScript, PHP and others; WordPress; database design
• English: C1 (self-assessment), B2 certified (written and oral); Hungarian: native