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Found 24 items.
  • 1 July 2022
    Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method
    Inés Hernández, Salvador Gutiérrez, Sara Ceballos, Fernando Palacios, Silvia Laura Toffolatti, Giuliana Maddalena, María Paz Diago, Javier Tardaguila
    Vol. 56 No. 3 (2022): OENO One
  • 23 October 2020
    Vineyard yield estimation using 2-D proximal sensing: a multitemporal approach
    Chris Hacking, Nitesh Poona, Carlos Poblete-Echeverria
    Vol. 54 No. 4 (2020): OENO One
  • 7 July 2025
    High-throughput phenotyping in grapevine breeding research: technologies and applications
    Katja Herzog, Anna Kicherer, Nagarjun Malagol, Oliver Trapp, Reinhard Töpfer
    Vol. 59 No. 3 (2025): OENO One
  • 28 May 2019
    Vineyard pruning weight assessment by machine vision: towards an on-the-go measurement system
    Borja Millan, Maria Paz Diago, Arturo Aquino, Fernando Palacios, Javier Tardaguila
    Vol. 53 No. 2 (2019): OENO One
  • 16 June 2025
    Artificial intelligence-driven classification method of grapevine major phenological stages using conventional RGB imaging
    Ruben Íñiguez, Fikile Wolela, María Ignacia Gonzalez Pavez , Ignacio Barrio, Javier Tardáguila , Talitha Venter, Prof. Poblete-Echeverria
    Vol. 59 No. 2 (2025): OENO One
  • 4 September 2025
    Moving beyond visible flower counting: RGB image-based flower number and yield prediction in grapevine
    Stefano Puccio, Daniele Miccichè, Rosario Di Lorenzo, Lucia Turano, Antonino Pisciotta
    Vol. 59 No. 3 (2025): OENO One
  • 19 September 2022
    Two-stage automatic diagnosis of Flavescence Dorée based on proximal imaging and artificial intelligence: a multi-year and multi-variety experimental study
    Malo Tardif, Ahmed Amri, Barna Keresztes, Aymeric Deshayes, Damian Martin, Marc Greven, Jean-Pierre Da Costa
    Vol. 56 No. 3 (2022): OENO One
  • 8 December 2021
    Grapevine bunch weight estimation using image-based features: comparing the predictive performance of number of visible berries and bunch area
    Carlos Lopes, Jorge Cadima
    Vol. 55 No. 4 (2021): OENO One
  • 2 February 2022
    Overcoming the challenge of bunch occlusion by leaves for vineyard yield estimation using image analysis
    Gonçalo Victorino, Ricardo P. Braga, José Santos-Victor, Carlos M. Lopes
    Vol. 56 No. 1 (2022): OENO One
  • 4 March 2025
    Automated yield prediction in vineyard using RGB images acquired by a UAV prototype platform
    Giorgia Orlandi, Alessandro Matese, Alessandro Ulrici, Rosalba Calvini, Andrea Berton, Salvatore Filippo Di Gennaro
    Vol. 59 No. 1 (2025): OENO One
  • 12 March 2021
    Assessment of canopy size using UAV-based point cloud analysis to detect the severity and spatial distribution of canopy decline
    Jingyun Ouyang, Roberta De Bei, Cassandra Collins
    Vol. 55 No. 1 (2021): OENO One
  • 5 November 2025
    A social–ecological approach to analyse systemic changes toward agroecological practices in vineyards under geographical indications: A case study of ground cover management in the Anjou-Saumur wine area (France)
    Faustine Ruggieri, Armelle Mazé, Cécile Coulon-Leroy
    Vol. 59 No. 4 (2025): OENO One
  • 29 October 2020
    Yield components detection and image-based indicators for non-invasive grapevine yield prediction at different phenological phases
    Gonçalo Filipe Victorino, Ricardo Braga, José Santos-Victor, Carlos M. Lopes
    Vol. 54 No. 4 (2020): OENO One
  • 24 November 2022
    Agrobiodiversity dynamics in a French wine-growing region
    Antoine Doncieux, Olivier Yobrégat, Scott Prudham, Sophie Caillon, Delphine Renard
    Vol. 56 No. 4 (2022): OENO One
  • 9 January 2026
    Artificially induced and precise small-scaled infection with Plasmopara viticola on living vines
    Melissa Kleb, Reinhard Zipper, Nikolaus Merkt, Christian Zörb
    Vol. 60 No. 1 (2026): OENO One
  • 24 June 2022
    Terroir analysis and its complexity
    Antonello Bonfante, Luca Brillante
    Vol. 56 No. 2 (2022): OENO One
  • 31 December 2005
    Quality characterization of wine cork stoppers using computer vision
    Augusta Costa, Helena Pereira
    Vol. 39 No. 4 (2005): Journal international des sciences de la vigne et du vin
  • 27 November 2020
    Detection of smoke-derived compounds from bushfires in Cabernet-Sauvignon grapes, must, and wine using Near-Infrared spectroscopy and machine learning algorithms
    Vasiliki Summerson, Claudia Gonzalez Viejo, Damir D. Torrico, Alexis Pang, Sigfredo Fuentes
    Vol. 54 No. 4 (2020): OENO One
  • 17 October 2025
    Exploring soil–plant interactions in vineyards using geophysics and hyperspectral imaging
    Maxime Lavaud, Myriam Schmutz, Jehanne Cavailhes, Nicola Falco
    Vol. 59 No. 4 (2025): OENO One
  • 12 September 2022
    Utilization of unmanned aerial vehicles for zonal winemaking in cool-climate Riesling vineyards
    Briann Dorin, Andrew G. Reynolds, Marilyne Jollineau, Hyun-Suk Lee, Adam Shemrock
    Vol. 56 No. 3 (2022): OENO One
  • 23 November 2020
    UAV and ground-based imagery analysis detects canopy structure changes after canopy management applications
    Jingyun Ouyang, Roberta De Bei, Sigfredo Fuentes, Cassandra Collins
    Vol. 54 No. 4 (2020): OENO One
  • 6 June 2023
    Grapevine yield gap: identification of environmental limitations by soil and climate zoning in the region of Languedoc-Roussillon (South of France)
    Hugo Fernandez-Mena, Nicolas Guilpart, Philippe Lagacherie, Renan Le Roux, Mayeul Plaige, Maxime Dumont, Marine Gautier, Nina Graveline, Jean-Marc Touzard, Hervé Hannin, Christian Gary
    Vol. 57 No. 2 (2023): OENO One
  • 28 March 2017
    Using of a combined approach by biochemical and image analysis to develop a new method to estimate seed maturity stage for Bordeaux area grapevine
    Amélie RABOT
    Vol. 51 No. 1 (2017): OENO One
  • 3 November 2020
    Making sense of a sense of place: precision viticulture approaches to the analysis of terroir at different scales
    Robert G.V. Bramley, Jackie Ouzman, Mike C.T. Trought
    Vol. 54 No. 4 (2020): OENO One
1 - 24 of 24 items
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OENO One is published by the International Viticulture and Enlogy Society (IVES) - ISSN: 2494-1271 - Impact factor:  2.2
OENO One is not linked nor associated with the Italian publisher company Eno-One Sri.