• español
    • English
  • Login
  • English 
    • español
    • English

UniversidaddeCádiz

Área de Biblioteca, Archivo y Publicaciones
Communities and Collections
View Item 
  •   RODIN Home
  • Producción Científica
  • Artículos Científicos
  • View Item
  •   RODIN Home
  • Producción Científica
  • Artículos Científicos
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Smart Viniculture: Applying Artificial Intelligence for Improved Winemaking and Risk Management

Thumbnail
Identificadores

URI: http://hdl.handle.net/10498/35824

DOI: 10.3390/app142210277

ISSN: 2076-3417

Files
OA_2024_1443.pdf (850.4Kb)
Statistics
View statistics
Metrics and citations
 
Share
Export
Export reference to MendeleyRefworksEndNoteBibTexRIS
Metadata
Show full item record
Author/s
Izquierdo-Bueno Reina, Inmaculada ConcepciónAuthority UCA; Moraga Galindo, JavierAuthority UCA; Cantoral Fernández, Jesús ManuelAuthority UCA; Carbú Espinosa de los Monteros, MaríaAuthority UCA; Garrido Crespo, CarlosAuthority UCA; González Rodríguez, Victoria EugeniaAuthority UCA
Date
2024-11-08
Department
Biomedicina, Biotecnología y Salud Pública
Source
Applied Sciences (Switzerland), Vol. 14, Núm. 22, 2024
Abstract
This review explores the transformative role of artificial intelligence (AI) in the entire winemaking process, from viticulture to bottling, with a particular focus on enhancing food safety and traceability. It discusses AI’s applications in optimizing grape cultivation, fermentation, bottling, and quality control, while emphasizing its critical role in managing microbiological risks such as mycotoxins. The review aims to show how AI technologies not only refine operational efficiencies but also raise safety standards and ensure traceability from vineyard to consumer. Challenges in AI implementation and future directions for integrating more advanced AI solutions into the winemaking industry will also be discussed, providing a comprehensive overview of AI’s potential to revolutionize traditional practices.
Subjects
artificial intelligence; precision viticulture; disease prediction models; drone technology; automated harvesting; water and nutrient management; sustainable winemaking; smart agriculture; pest control; data-driven decision making
Collections
  • Artículos Científicos [11777]
  • Articulos Científicos Biomedicina [577]
  • Artículos Científicos INBIO [417]
  • Artículos Científicos IVAGRO [721]
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

Browse

All of RODINCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

Información adicional

AboutDeposit in RODINPoliciesGuidelinesRightsLinksStatisticsNewsFrequently Asked Questions

RODIN is available through

OpenAIREOAIsterRecolectaHispanaEuropeanaBaseDARTOATDGoogle Academic

Related links

Sherpa/RomeoDulcineaROAROpenDOARCreative CommonsORCID

RODIN está gestionado por el Área de Biblioteca, Archivo y Publicaciones de la Universidad de Cádiz

Contact informationSuggestionsUser Support