Community-Driven Adoption of Industry 4.0 Technologies for Sustainable and Resilient Food Production

Abstract

Industry 4.0 technologies such as artificial intelligence (AI) and digital twins offer significant opportunities for improving sustainability and efficiency in food production. However, their adoption remains limited, especially among small and medium-sized enterprises (SMEs) and in contexts where manual operations are still necessary. This research presents a community-driven framework to support the integration of these technologies in local food production and agricultural systems. By combining technical development with community engagement, the research addresses both operational optimization and existing digital skill gaps. This research contributes to the broader digital and green transition by aligning advanced technologies with local needs, ensuring that innovation is inclusive, practical, and socially grounded.