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A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7.
Badeka, Eftichia; Karapatzak, Eleftherios; Karampatea, Aikaterini; Bouloumpasi, Elisavet; Kalathas, Ioannis; Lytridis, Chris; Tziolas, Emmanouil; Tsakalidou, Viktoria Nikoleta; Kaburlasos, Vassilis G.
Afiliación
  • Badeka E; Human-Machines Interaction Laboratory (HUMAIN-Lab), Department of Computer Science, International Hellenic University (IHU), 65404 Kavala, Greece.
  • Karapatzak E; Department of Agricultural Biotechnology and Oenology, International Hellenic University, 66100 Drama, Greece.
  • Karampatea A; Department of Agricultural Biotechnology and Oenology, International Hellenic University, 66100 Drama, Greece.
  • Bouloumpasi E; Department of Agricultural Biotechnology and Oenology, International Hellenic University, 66100 Drama, Greece.
  • Kalathas I; Human-Machines Interaction Laboratory (HUMAIN-Lab), Department of Computer Science, International Hellenic University (IHU), 65404 Kavala, Greece.
  • Lytridis C; Human-Machines Interaction Laboratory (HUMAIN-Lab), Department of Computer Science, International Hellenic University (IHU), 65404 Kavala, Greece.
  • Tziolas E; Human-Machines Interaction Laboratory (HUMAIN-Lab), Department of Computer Science, International Hellenic University (IHU), 65404 Kavala, Greece.
  • Tsakalidou VN; Human-Machines Interaction Laboratory (HUMAIN-Lab), Department of Computer Science, International Hellenic University (IHU), 65404 Kavala, Greece.
  • Kaburlasos VG; Human-Machines Interaction Laboratory (HUMAIN-Lab), Department of Computer Science, International Hellenic University (IHU), 65404 Kavala, Greece.
Sensors (Basel) ; 23(19)2023 Sep 27.
Article en En | MEDLINE | ID: mdl-37836956
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vitis / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Grecia
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vitis / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Grecia