Dr. Péter Bodor-Pesti - MATE Research
Overview
Dr. Péter Bodor-Pesti is a horticultural engineer specialized in viticulture. His research topics are linked to precision viticulture, in more particular remote and proximal sensing. In their research team they are working with RGB-based vegetation indices to predict morpholoigcal and plant physiological properties of grapevine cultivars. In collaboration with other researchers he developed different softwares for the landmark based geometric morphometrics and color pattern evaluation of plant leaves. He is interested in the application of smart tools, such as smartphones in the precision viticulture.
Research keywords:
Publications
Application of RGB-based vegetation indices in viticulture
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/10.3390/horticulturae9080899
Bodor-Pesti, P., Taranyi, D., Vértes, G., Fazekas, I., Nyitrainé Sárdy, D. Á., Deák, T., Varga, Z., & Baranyai, L. (2024). Smartphone-Based Leaf Colorimetric Analysis of Grapevine (Vitis vinifera L.) Genotypes. Horticulturae, 10(11), 1179. https://doi.org/10.3390/horticulturae10111179
Lepej, P., Taranyi, D., Rakun, J., Nagy, B., Steckl, S., Lukácsy, G., Mikóczy, N., Nyitrainé Sárdy, D. Á., & Bodor-Pesti, P. (2024). The Effect of Irrigation on the Vineyard Canopy and Individual Leaf Morphology Evaluated with Proximal Sensing, Colorimetry, and Traditional Morphometry. Horticulturae, 10(7), 716. https://doi.org/10.3390/horticulturae10070716
Traditional and landmark-based geometric morphometrics
Bodor-Pesti, P., Taranyi, D., Deák, T., Nyitrainé Sárdy, D. Á., & Varga, Z. (2023). A Review of Ampelometry: Morphometric Characterization of the Grape (Vitis spp.) Leaf. Plants, 12(3), 452. https://doi.org/10.3390/plants12030452
Somogyi, E., Kun, Á., Lázár, J., Bodor-Pesti, P., & Nyitrainé Sárdy, D. Á. (2021). Quantitative analysis of the berry size in grapevine cultivar ‘Italia’ •: Digital image analysis of the grapevine. Progress in Agricultural Engineering Sciences, 17(S1), 53-60. https://doi.org/10.1556/446.2021.30007
Projects
Transfarm4.0
Agriculture requires innovations to increase production yields in terms of quantity and quality, but also to increase efficiency in resource management. It is necessary to reduce environmental impact and production costs, in a context of climate change and market globalization.
https://programme2014-20.interreg-central.eu/Content.Node/Transfarm4.0.html
Agri-Digital Growth
Precision Farming Ecosystem for Digital Skills enhancement across CE, to support digitalisation, sustainability and specialisation of Agri food manufacturing SMEs in Precision Farming transition.
https://www.interreg-central.eu/projects/agri-digital-growth/
