Digital and Sustainable Transition in the Agri-Food Industry

According to recent literature, food production would need to double by 2050 to fulfil the predicted demand of the world's growing population. To achieve this aim, agri-food firms have started applying various digital technologies to improve food production while using fewer resources, minimising the environmental effect of production operations. This study aims to review papers on Industry 4.0 and agri-food sustainability published in the last decade. Machine learning methods such as text classification and data extraction were employed to automate this research. Text classification was used to screen titles and abstracts, while data extraction was used to determine the key subjects covered by the articles. The results summarise the leading scientific journals in the research field, the most influential countries, and the research topic's evolution over time. Furthermore, data extraction allowed for the grouping of references into ten research clusters, allowing for more in-depth discussions and perspectives on crucial topics for future field study avenues.