Overview

<>Dr. Péter Bodor-Pesti is a horticultural engineer specialized in viticulture. His research topics are linked to precision viticulture, focusing especially on remote and proximal sensing. In their research team they are working with RGB-based vegetation indices to predict morphological and plant physiological properties of grapevine cultivars. In collaboration with other researchers, he developed various types of software for the landmark based geometric morphometrics and color pattern evaluation of plant leaves. �>Dr. Péter Bodor-Pesti is a horticultural engineer specialized in viticulture. His research topics are linked to precision viticulture, focusing especially on remote and proximal sensing. In their research team they are working with RGB-based vegetation indices to predict morphological and plant physiological properties of grapevine cultivars. In collaboration with other researchers, he developed various types of software for the landmark based geometric morphometrics and color pattern evaluation of plant leaves. &&nbsp;He is interested in the application of smart tools, such as smartphones in the precision viticulture.���������������������������������������������������������������������������������������������������������� 

Research keywords:
air quality, air pollutants, environmental engineering

Publications

Investigating outdoor and indoor air pollution - specifically measuring air pollutants and developing algorithms for prediction of airqualityApplication of RGB-based vegetation indices in viticulture

Rátkai, M., Géczi, G., Kicsiny, R., & Székely, L. (2025). Explicit physically-based and multiple linear regression based models for a recently invented solar pot. Energy Conversion and Management: X, 101460. Bodor-Pesti, P., Taranyi, D., Nyitrainé Sárdy, D. Á., Le Phuong Nguyen, L., & Baranyai, L. (2023). Correlation of the Grapevine (Vitis vinifera L.) Leaf Chlorophyll Concentration with RGB Color Indices. Horticulturae, 9(8), 899. https://doi.org/10.1016/j.ecmx.2025.101460

Bouzghiba, H., Ajdour, A., Omar, N., Mendyl, A., & Géczi, G. (2025). A Novel Application of Choquet Integral for Multi-Model Fusion in Urban PM10 Forecasting. Atmosphere, 16(11), 1274. https://doi.org/10.3390/atmos16111274

Patonai, Z., Kicsiny, R., & Géczi, G. (2022). Multiple linear regression based model for the indoor temperature of mobile containers. Heliyon, 8(12). https://doi.org/10.1016/j.heliyon.2022.e12098

QOR‐EL‐AINE, Achraf; BÉRES, András; GÉCZI, Gábor. Dust storm simulation over the Sahara Desert (Moroccan and Mauritanian regions) using HYSPLIT. Atmospheric Science Letters, 2022, 23.4: e1076. https://doi.org/10.1002/asl.1076

SEKMOUDI, Imane, et al. Systematic Review of Air Pollution in Morocco: Status, Impacts, and Future Directions. Advanced Sustainable Systems, 2024, 8.9: 2400006. https://doi.org/10.1002/adsu.202400006

BÉRES, András, et al. Calibration of CAMS PM2. 5 data over Hungary: a machine learning approach. Environmental Research Communications, 2024, 6.7: 075026. https://doi.org/10.1088/2515-7620/ad6239

Géczi, G., Benécs, J., Kristóf, K., & Horváth, M. (2018). High concentrations of radon and carbon dioxide in energy-efficient family houses without heat recovery ventilation. Journal of Environmental Engineering and Landscape Management, 26(1), 64-74. https://doi.org/10.3846/16486897.2017.1347095


Projects

Dr. Gábor Géczi
Institute of Environmental Sciences
Campus address: H-2100 Gödöllő, Páter Károly str. 1.
geczi.gabor@uni-mate.hu
geczi.gabor@uni-mate.hu

MTMT: 10000620
Scopus: 35179213900