Digital Agriculture Technologies and Their Role in Improving Food Security in Developing Regions

Abstract

Food insecurity remains one of the most pressing global challenges, particularly in developing regions where agricultural productivity is highly vulnerable to climate change, resource limitations, and inefficient farming practices. Digital agriculture technologies—including precision farming, remote sensing, artificial intelligence (AI), Internet of Things (IoT), mobile advisory platforms, and data analytics—are transforming traditional agricultural systems into data-driven and climate-resilient models. These technologies enhance productivity, optimize resource utilization, reduce losses, and improve market access for smallholder farmers. This study examines the role of digital agriculture in strengthening food security by exploring technological applications, adoption barriers, policy frameworks, and real-world implementations in developing countries. The findings suggest that digital agriculture significantly contributes to sustainable intensification and resilience but requires institutional support, infrastructure development, and farmer training for widespread adoption. The paper concludes with strategic recommendations aimed at integrating digital solutions into national food security policies