Artificial intelligence for sustainable wine industry: AI-driven management in viticulture, wine production and enotourism

TL;DR

This paper explores how AI technologies like predictive analytics and computer vision can improve sustainability, efficiency, and customer engagement in the wine industry’s viticulture, production, and enotourism sectors.

Contribution

It provides a comprehensive analysis of AI applications in sustainable wine industry practices, based on surveys and case studies, highlighting innovative AI-driven management solutions.

Findings

AI improves vineyard monitoring and irrigation optimization

AI streamlines wine production processes

AI enhances enotourism experiences through personalized services

Abstract

This study examines the role of Artificial Intelligence (AI) in enhancing sustainability and efficiency within the wine industry. It focuses on AI-driven intelligent management in viticulture, wine production, and enotourism. As the wine industry faces environmental and economic challenges, AI offers innovative solutions to optimize resource use, reduce environmental impact, and improve customer engagement. Understanding AI's potential in sustainable winemaking is crucial for fostering responsible and efficient industry practices. The research is based on a questionnaire survey conducted among Polish winemakers, combined with a comprehensive analysis of AI methods applicable to viticulture, production, and tourism. Key AI technologies, including predictive analytics, machine learning, and computer vision, are explored. The findings indicate that AI enhances vineyard monitoring, optimizes irrigation, and streamlines production processes, contributing to sustainable resource management. In enotourism, AI-powered chatbots, recommendation systems, and virtual tastings personalize consumer experiences. The study highlights AI's impact on economic, environmental, and social sustainability, supporting local wine enterprises and cultural heritage. Keywords: Artificial Intelligence, Sustainable Development, AI-Driven Management, Viticulture, Wine Production, Enotourism, Wine Enterprises, Local Communities