Bibliometric review: characterizing wine grapes through image processing

This work aims to show the latest scientific advances in digital image processing applied to wine grape characterization. The literature review highlights in existing studies about external and internal grape characteristics, but often rely on expensive equipment and lack of essential features for robust predictive results. Consequently, experts in the field advocate for new studies to widen the range of characteristics and economic viability for end-users. A systematic literature analysis of the Scopus database, using keywords like ”grape image processing”, identified 290 papers from 2012 to 2023. Additionally, advanced searches related to maturation, color, chemical analysis, phenolic composition, sugar content, prediction models, and correlation of physical and chemical attributes indicate an area of opportunity due to the decrease of works found on these specific topics. Nevertheless, bibliometric results reveal the evolving research landscape in these areas over the past decade, with notable authors such as Whitty, M., and Liu, S. Leading institutions and countries include China, India, the United States, and Spain. The VOSviewer software was used to confirm influential studies, prominent research groups, and emerging trends in the field. Finally, as a case study, the initial results of our work are presented, which aims to characterize the physical-chemical parameters of wine grapes in different stages of ripening, through digital processing of grape images.