Perception and trends towards research and technological development in the avocado value chain using data science tools

Abstract

Systematic analysis of scientific, industrial, and commercial information and the application of data science (DS) are alternatives to learn about trends and advances in value chains such as avocado. The objective of this study was to review current trends in research, technological development, and perception about the avocado subsector under tropical conditions using DS tools. A bibliometric analysis (BA) of scientific articles, technological developments, and patents in different sources of web information was implemented. Additionally, search algorithms and DS were designed to perform an analysis of trends from social media platforms in the avocado value chain. The BA identified patters associated with the avocado chain in Colombia, highlighting the increase in scientific-technical information, the grouping by work networks, the bias associated with departments and commercial varieties such as the high volume of works in Antioquia and cv. Hass, and the few high-value alternatives for the chain such as patents, industrial secrets, etc. Trends in social networks were linked to international markets, added value, and environmental aspects. Likewise, a disconnection was found between the needs of the avocado value chain and the existing offers. This study contributes as a competitive strategy for the local avocado subsector and generates a country-adjusted research agenda.