Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Proceedings on 28th European Conference on Artificial Intelligence ECAI 2025 – InMan Workshop

ISBN (online): 978-83-8419-053-1 OAI    DOI: 10.18276/978-83-8419-053-1-42
CC BY-SA   Open Access 

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ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE WINE INDUSTRY: AI-DRIVEN MANAGEMENT IN VITICULTURE, WINE PRODUCTION AND ENOTOURISM

Autorzy: Marta Sidorkiewicz
University of Szczecin, Institute of Management, Szczecin, Poland

Karolina Królikowska
Wroclaw University of Environmental and Life Sciences, Institute of Spatial Management, Wroclaw, Poland

Berenika Dyczek
University of Wroclaw, Institute of Sociology, Wroclaw, Poland

Edyta Pijet-Migoń
WSB Merito University in Wroclaw, Faculty of Finance and Management, Wroclaw, Poland

Anna Dubel
AGH University of Krakow, Faculty of Management, Poland
Słowa kluczowe: Artificial Intelligence Sustainable Development AI-Driven Management Viticulture Wine Production Enotourism Wine Enterprises Local Communities
Data publikacji całości:2025-10-02
Liczba stron:15 (645-659)
Klasyfikacja JEL: A13 A14 C55 D81 L66 L83 M31 O33 Q01 Q13 Q16 Z32
Cited-by (Crossref) ?:

Abstrakt

Purpose: 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. Need for the Study: 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. Methodology: 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. Findings: 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 underscores AI’s impact on economic, environmental, and social sustainability, supporting local wine enterprises and cultural heritage. Practical Implications: AI in winemaking and enotourism can lead to more efficient, sustainable operations that benefit producers and consumers. AI-driven solutions promote responsible tourism, enhance wine tourism experiences, and ensure the industry's long-term viability.
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