Prof. Dr. László Baranyai - MATE Research
Overview
As a professor at Department of Food Measurement and Process Control, Dr. László Baranyai's research activity is focused on machine vision and data analysis. His primary research interest is the interaction between light and biological tissue via diffuse reflectance imaging. He develops digital image processing methods for quality assessment of food, especially fresh horticultural produces. He is available to join research projects utilizing non-destructive measurement techniques, process simulation and analysis of big data collected automatically by sensors of the agriculture and food technology. He supports open science and transparency of research, prefers free software, and shares solutions on networking platforms and repositories (if possible).
Research keywords:
Publications
Laser induced diffuse reflectance imaging (backscattering) in quality assessment of fruit, vegetable, and food.
Assessment of Wine Adulteration Using Near Infrared Spectroscopy and Laser Backscattering Imaging
Laser induced diffuse reflectance imaging – Monte Carlo simulation of backscattering measured on the surface
Analysis of laser light propagation in kiwifruit using backscattering imaging and Monte Carlo simulation
Color analysis of fruit and vegetable using computer vision.
Color analysis of horticultural produces using hue spectra fingerprinting
Application of hue spectra fingerprinting during cold storage and shelf-life of packaged sweet cherry
Correlation of the Grapevine (Vitis vinifera L.) Leaf Chlorophyll Concentration with RGB Color Indices
Software development for data analysis in research projects including acquisition and evaluation of sensor signal.
Redox potential measurement as a rapid method for microbiological testing and its validation for coliform determination
GRA.LE.D. (GRApevine LEaf digitalization) software for the detection and graphic reconstruction of ampelometric differences between Vitis leaves
Projects
Sunburn and heat prediction in canopies for evolving a warning tech solution
The project SHEET is to develop prediction models for heat damage in the fruit production and transfer the model in a functional mobile application. Climate change, especially heatwaves, cause huge risks for the fruit production already affecting the quality, storability, and increase food waste.
https://ictagrifood.eu/node/44656



