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.
Modifier cette pageArticle (8)
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 Année de publication: 2024 Journal: Acta Horticulturae DOI: 10.17660/ActaHortic.2023.1360.7 Lien HAL: https://hal.science/hal-04473378v1 Éclaircissage mécanique du pommier assisté par analyse d'image, Technologie innovante pour une arboriculture productive et écologique Auteur(s): Pierre Vaysse, Vincent Mathieu, Patrick Reynier, Laurent Roche, Sandrine Codarin, Olivier Lavialle, Barna Keresztes, Christophe Guizard, Alexia Gobrecht, Gilbert Grenier, Matthieu Bouniol, Jean-François Saint Hilary, Christian Lavoisier Année de publication: 2024 Journal: Innovations Agronomiques DOI: 10.17180/3xf3-ne91 Lien HAL: https://hal.inrae.fr/hal-04648376v1 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 Année de publication: 2024 Journal: Computers and Electronics in Agriculture DOI: 10.1016/j.compag.2021.106606 Lien HAL: https://hal.science/hal-03722088v1 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 Année de publication: 2023 Journal: OENO One DOI: 10.20870/oeno-one.2022.56.3.5460 Lien HAL: https://hal.science/hal-04038722v1 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 Année de publication: 2023 Journal: Data in Brief DOI: 10.1016/j.dib.2023.109230 Lien HAL: https://hal.inrae.fr/hal-04133609v1 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 Année de publication: 2023 Journal: Sensors DOI: 10.3390/s23020847 Lien HAL: https://hal.inrae.fr/hal-03997313v1 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 Année de publication: 2022 Journal: Data in Brief DOI: 10.1016/j.dib.2022.108035 Lien HAL: https://hal.science/hal-03728222v1 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 Année de publication: 2021 Journal: Data in Brief DOI: 10.1016/j.dib.2021.107250 Lien HAL: https://hal.inrae.fr/hal-03325588v1Send a email to Barna KERESZTES :
