Barna KERESZTES

Engineer

Research group : SIGNAL AND IMAGE PROCESSING

Team : MOTIVE

Tel : 0540002484

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Barna Keresztes Ph.D. is a researcher in image processing and the technical leader of the Imagro platform, specialized in proximal imaging in agricultural applications and other aspects of the precision agriculture. With over a decade of experience in this field, his research focuses on fruit detection and counting, fruit quality asessment, disease and weed detection, phenotyping and the temporal analysis of the plant development. His research focuses on artificial intelligence applied in agriculture and its application in the edge domain.

He also developed several cameras and imaging systems for in-field and indoor acquisition.

Barna Keresztes has published several papers in international conferences and peer-reviewed journals, and has received several awards for his work.

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Article (13)

Automatic diagnosis of a multi-symptom grape vine disease using computer vision Auteur(s): Malo Tardif, A. Amri, Barna Keresztes, Aymeric Deshayes, D. Martin, Marc Greven, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-04473378 Crop stem detection and tracking for precision hoeing using deep learning Auteur(s): Louis Lac, Jean-Pierre da Costa, Marc Donias, Barna Keresztes, Alain Bardet Lien HAL : https://hal.science/hal-03722088 An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses Auteur(s): Malo Tardif, Ahmed Amri, Aymeric Deshayes, Marc Greven, Barna Keresztes, Gaël Fontaine, Laetitia Sicaud, Laetitia Paulhac, Sophie Bentejac, Jean-Pierre da Costa Lien HAL : https://hal.inrae.fr/hal-04133609 Two-stage automatic diagnosis of Flavescence Dorée based on proximal imaging and artificial intelligence: a multi-year and multi-variety experimental study Auteur(s): Malo Tardif, Ahmed Amri, Barna Keresztes, Aymeric Deshayes, Damian Martin, Marc Greven, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-04038722 Designing a Proximal Sensing Camera Acquisition System for Vineyard Applications: Results and Feedback on 8 Years of Experiments Auteur(s): Florian Rançon, Barna Keresztes, Aymeric Deshayes, Malo Tardif, Florent Abdelghafour, Gael Fontaine, Jean-Pierre da Costa, Christian Germain Lien HAL : https://hal.inrae.fr/hal-03997313 An annotated image dataset of vegetable crops at an early stage of growth for proximal sensing applications Auteur(s): Louis Lac, Barna Keresztes, Marine Louargant, Marc Donias, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-03728222 A Bayesian framework for joint structure and colour based pixel-wise classification of grapevine proximal images Auteur(s): Florent Abdelghafour, Roxana Rosu, Barna Keresztes, Christian Germain, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-02518375 An annotated image dataset of downy mildew symptoms on Merlot grape variety Auteur(s): Florent Abdelghafour, Barna Keresztes, Aymeric Deshayes, Christian Germain, Jean-Pierre da Costa Lien HAL : https://hal.inrae.fr/hal-03325588 In field detection of downy mildew symptoms with proximal colour imaging Auteur(s): Florent Abdelghafour, Barna Keresztes, Christian Germain, Jean-Pierre da Costa Lien HAL : https://hal.inrae.fr/hal-02951597 Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards Auteur(s): Florian Rançon, Lionel Bombrun, Barna Keresztes, Christian Germain Lien HAL : https://hal.science/hal-02294893 Potential of on-board colour imaging for in-field detection and counting of grape bunches at early fruiting stages Auteur(s): F. Abdelghafour, B. Keresztes, C. Germain, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-01715910 Spatial pattern analysis of flavescence dorée repartition in vineyards from the Bordeaux region Auteur(s): Florian Rançon, Lionel Bombrun, Barna Keresztes, Christian Germain Lien HAL : https://hal.science/hal-01647929 FIBER SEGMENTATION IN COMPOSITE MATERIALS USING MARKED POINT PROCESSES Auteur(s): Barna Keresztes, Olivier Lavialle, Sorin Pop, Monica Borda Lien HAL : https://hal.science/hal-00399304

Conference proceedings (13)

Real-time Fruit Detection Using Deep Neural Networks Auteur(s): Barna Keresztes, Florent Abdelghafour, Dimby Randriamanga, Jean-Pierre da Costa, Christian Germain Lien HAL : https://hal.science/hal-02518559 Estimation of vine shoot morphology and volume based on computer vision and image processing Auteur(s): Barna Keresztes, Liantsoa Rabemanantsoa, Christian Germain, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-02518567 Joint structure and colour based parametric classification of grapevine organs from proximal images through several critical phenological stages Auteur(s): Florent Abdelghafour, Roxana Rosu, Barna Keresztes, Christian Germain, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-02518546 On-board colour imaging for the detection of downy mildew Auteur(s): Florent Abdelghafour, Florian Rançon, Barna Keresztes, Christian Germain, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-02518575 A depth and color vision system for the automated detection of grape maturity Auteur(s): Barna Keresztes, Jean-Pierre da Costa, Gilbert Grenier, Christian Germain, Xavier David-Beaulieu Lien HAL : https://hal.science/hal-01715990 Vineyard Vigilant & INNovative Ecological Rover (VVINNER): an autonomous robot for automated scoring of vineyards Auteur(s): Barna Keresztes, Christian Germain, Jean-Pierre da Costa, Gilbert Grenier, Xavier David-Beaulieu, Arnaud de La Fouchardière Lien HAL : https://hal.science/hal-01716004 Pixfel©, a tool for the quality assessment of apples in bulk shipping bins at harvest time. Auteur(s): Gilbert Grenier, Olivier Lavialle, Barna Keresztes, Pierre Vaysse, Patrick Reynier, Christian Germain, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-00976937 Détection des failles sismiques par processus objet Auteur(s): Olivier Lavialle, Barna Keresztes, Monica Borda Lien HAL : https://hal.science/hal-00399333 SEISMIC FAULT DETECTION USING MARKED POINT PROCESSES Auteur(s): Barna Keresztes, Olivier Lavialle, Monica Borda Lien HAL : https://hal.science/hal-00400822 PIXFEL©, A TOOL FOR THE QUALITY ASSESSMENT OF APPLES IN BULK SHIPPING BINS AT HARVEST TIME Auteur(s): Gilbert Grenier, Olivier Lavialle, Barna Keresztes, Pierre Vaysse, Patrick Reynier, Christian Germain, Jean-Pierre da Costa Lien HAL : https://hal.science/hal-00326707 MULTIPLE SUPPORT BASED SEISMIC ATTRIBUTES Auteur(s): Barna Keresztes, Olivier Lavialle, Monica Borda Lien HAL : https://hal.science/hal-00333249 Object Based Image Segmentation: Application to fruit detection in shipping bins Auteur(s): Barna Keresztes, Monica Borda, Romulus Terebes, Pierre Vaysse, Christian Germain, Jean-Pierre da Costa, Gilbert Grenier, Olivier Lavialle Lien HAL : https://hal.science/hal-00184750 Détection et rehaussement de failles dans les blocs sismiques par processus objet Auteur(s): Olivier Lavialle, Barna Keresztes, Monica Borda, Sébastien Guillon, Naamen Keskes Lien HAL : https://hal.science/hal-00184754

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