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Chapter 14 in Democracy in the era of Artificial Intelligence: Opportunities and Risks
Abstract
This research investigates whether AI-driven precision agriculture can support sustainable and inclusive food security, despite institutional and socioeconomic challenges. The study analyses that AI-powered technologies have the potential to boost agricultural output and adaptability, yet their advantages are not equally distributed unless governance frameworks ensure inclusivity. It employed a mixed-methods strategy, combining secondary statistical analysis, policy evaluation, and qualitative case-based assessment. The book chapter assesses various AI applications, including drone-based crop monitoring, machine learning for yield forecasting, intelligent irrigation systems, and predictive market analysis. The findings show that AI improves efficiency in resource use, lowers post-harvest losses, and boosts the ability to adapt to climate change. Nevertheless, disparities in digital access, insufficient infrastructure, poor coordination among institutions, and issues surrounding data governance persist in limiting fair technological adoption across Indian agriculture.