Revolutionizing Horticultural Supply Chains Through AI and Iot: A Bibliometric Analysis and Study of Organized Marketing Systems

The horticulture sector is a cornerstone of the global agricultural economy, yet it is plagued by systemic inefficiencies, with post-harvest losses reaching 30–35% due to fragmented supply chains and inadequate infrastructure. This research explores the transformative role of Artificial Intelligence (AI) and the Internet of Things (IoT) in establishing organised marketing systems. Through a comprehensive bibliometric analysis of literature from 2001 to 2026, the study identifies a paradigm shift toward "Smart Horticulture," where data-driven logistics and automated grading replace traditional guesswork. Central to this transition is the integration of predictive analytics for price forecasting and real-time sensor monitoring for perishables. The paper synthesises existing survey data and recent technological breakthroughs-such as machine learning models for tomato shelf-life prediction—to propose a framework for a high-efficiency, low-waste horticultural value chain. The findings suggest that while high implementation costs remain a barrier, the convergence of AI and IoT is essential for enhancing farmer price realisation and ensuring global food security.