The Role of Artificial Intelligence Technology In Supporting Agribusiness Innovation And Competitiveness

A Bibliometric And Systematic Review Approach

Abstract

This study explores the role of artificial intelligence (AI) in strengthening innovation and competitiveness within the agribusiness sector through a combination of bibliometric and systematic review approaches. Unlike previous studies that focus solely on technical or algorithmic aspects of AI, this research introduces a novel integrative framework that combines bibliometric mapping of global scientific trends with a systematic synthesis of empirical evidence. The bibliometric analysis of 59 Scopus-indexed articles (2020–2025) using VOSviewer and Bibliometrix (R) reveals an annual research growth rate of 26.84%, dominated by themes such as precision agriculture, Internet of Things (IoT), machine learning, and blockchain. Meanwhile, the systematic review of ten empirical studies shows that AI implementation increases average productivity by 22.6%, input efficiency by 18.3%, and reduces operational costs by 16.7%, while enhancing supply chain transparency and smallholder welfare. However, challenges such as limited digital infrastructure, low technological literacy, and restricted financing access persist in developing countries. The study concludes that integrating AI with IoT and blockchain provides an effective pathway toward an innovative, sustainable, and inclusive agribusiness system, and offers a replicable methodological framework for future interdisciplinary research on digital transformation in agriculture.