RT journal article
T1 Smart Viniculture: Applying Artificial Intelligence for Improved Winemaking and Risk Management
A1 Izquierdo-Bueno Reina, Inmaculada Concepción
A1 Moraga Galindo, Javier
A1 Cantoral Fernández, Jesús Manuel
A1 Carbú Espinosa de los Monteros, María
A1 Garrido Crespo, Carlos
A1 González Rodríguez, Victoria Eugenia
A2 BiomedicinaBiotecnología y Salud Pública
K1 artificial intelligence
K1 precision viticulture
K1 disease prediction models
K1 drone technology
K1 automated harvesting
K1 water and nutrient management
K1 sustainable winemaking
K1 smart agriculture
K1 pest control
K1 data-driven decision making
AB This review explores the transformative role of artificial intelligence (AI) in the entirewinemaking process, from viticulture to bottling, with a particular focus on enhancing food safetyand 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 asmycotoxins. The review aims to show how AI technologies not only refine operational efficienciesbut also raise safety standards and ensure traceability from vineyard to consumer. Challengesin AI implementation and future directions for integrating more advanced AI solutions into thewinemaking industry will also be discussed, providing a comprehensive overview of AI’s potentialto revolutionize traditional practices.
PB MDPI
SN 2076-3417
YR 2024
FD 2024-11-08
LK http://hdl.handle.net/10498/35824
UL http://hdl.handle.net/10498/35824
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026