%0 Journal Article 
%A Izquierdo-Bueno Reina, Inmaculada Concepción
%A Moraga Galindo, Javier
%A Cantoral Fernández, Jesús Manuel
%A Carbú Espinosa de los Monteros, María
%A Garrido Crespo, Carlos
%A González Rodríguez, Victoria Eugenia
%T Smart Viniculture: Applying Artificial Intelligence for Improved Winemaking and Risk Management
%D 2024
%@ 2076-3417
%U http://hdl.handle.net/10498/35824
%X 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.
%K artificial intelligence
%K precision viticulture
%K disease prediction models
%K drone technology
%K automated harvesting
%K water and nutrient management
%K sustainable winemaking
%K smart agriculture
%K pest control
%K data-driven decision making
%~ Universidad de Cádiz