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TITLE: Deep learning and computer vision for assessing the number of actual berries in commercial vineyards  Full Text
AUTHORS: Palacios, Fernando; Melo Pinto, Pedro; Diago, Maria P.; Tardaguila, Javier;
PUBLISHED: 2022, SOURCE: BIOSYSTEMS ENGINEERING, VOLUME: 218
INDEXED IN: Scopus WOS
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TITLE: Early yield prediction in different grapevine varieties using computer vision and machine learning  Full Text
AUTHORS: Palacios, Fernando; Diago, Maria P.; Melo Pinto, Pedro; Tardaguila, Javier;
PUBLISHED: 2022, SOURCE: PRECISION AGRICULTURE
INDEXED IN: Scopus WOS
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TITLE: Mapping and managing vineyard homogeneous zones through proximal geoelectrical sensing
AUTHORS: Javier Tardaguila; Maria P Diago; Simone Priori; Manuel Oliveira;
PUBLISHED: 2018, SOURCE: ARCHIVES OF AGRONOMY AND SOIL SCIENCE, VOLUME: 64, ISSUE: 3
INDEXED IN: WOS
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TITLE: Use of Visible and Short-Wave Near-Infrared Hyperspectral Imaging To Fingerprint Anthocyanins in Intact Grape Berries  Full Text
AUTHORS: Maria P Diago; Juan Fernandez Novales; Armando M Fernandes; Pedro Melo Pinto ; Javier Tardaguila;
PUBLISHED: 2016, SOURCE: JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, VOLUME: 64, ISSUE: 40
INDEXED IN: Scopus WOS
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TITLE: Identification of grapevine varieties using leaf spectroscopy and partial least squares  Full Text
AUTHORS: Maria P Diago; Fernandes, AM ; Millan, B; Tardaguila, J; Melo Pinto, P ;
PUBLISHED: 2013, SOURCE: COMPUTERS AND ELECTRONICS IN AGRICULTURE, VOLUME: 99
INDEXED IN: Scopus WOS CrossRef