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

Abstract

Featured Application: This review elucidates the transformative impact of artificial intelligence (AI) on viticulture, showcasing its practical applications in disease prediction, pest management, automated grape harvesting, and the optimization of water and nutrient management. The implementation of AI-driven technologies enables vineyard managers to effectively mitigate challenges such as disease outbreaks and pest infestations, resulting in healthier vines and increased yields. Automated harvesting systems improve the efficiency and consistency of grape picking, which are essential for the production of high-quality wine. Furthermore, AI’s data-centric approaches to resource management promote sustainable practices by optimizing water and nutrient use. These developments illustrate the potential of AI to revolutionize traditional viticultural practices, addressing the industry’s increasing demands for quality and sustainability in winemaking. 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.