Journal Article

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

Izquierdo-Bueno Reina, Inmaculada Concepción, Carbú Espinosa de los Monteros, María, Moraga Galindo, Javier, González Rodríguez, Victoria Eugenia, Garrido Crespo, Carlos, Biomedicina, Biotecnología y Salud Pública, Cantoral Fernández, Jesús Manuel

2024

Overview

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.

• Publisher: MDPI,MDPI AG
• Subject: Agriculture / Artificial intelligence / automated harvesting / Computational linguistics / Crop yields / Decision making / disease prediction models / drone technology / Economic forecasting / Epidemics / Fermentation / Food / Harvesting / Language processing / Natural language interfaces / Plant diseases / precision viticulture / Risk management / Safety and security measures / Technology application / Vineyards / water and nutrient management / Wine and wine making / Wine industry / Wineries