Background: Global agricultural systems face mounting pressure from population growth, climate variability, and resource depletion. Precision agriculture (PA) has emerged as a transformative paradigm integrating advanced digital technologies to optimize farm management while reducing environmental impact.
Objective: This study systematically evaluates the role of PA technologies—including GPS/GIS, remote sensing, IoT-enabled sensors, unmanned aerial vehicles (UAVs), artificial intelligence (AI), and variable rate technology (VRT)—in enhancing the productivity and sustainability of modern farming systems.
Methods: A structured literature-based comparative analysis was conducted using peer-reviewed studies published from 2016 to 2024, evaluating technologies against standardized sustainability metrics including crop yield, water-use efficiency, input reduction, and greenhouse gas (GHG) emissions.
Results: PA technologies collectively demonstrated crop yield improvements of 15–25%, water usage reductions of 20–40%, fertilizer savings of 10–30%, and pesticide reductions up to 50%. Economic analyses indicate cost savings of 8–18% in production expenditure.
Conclusion: Precision agriculture presents a scientifically validated pathway to sustainable farming. Systemic adoption requires supportive policy frameworks, scalable infrastructure, and capacity-building programs for smallholder farmers.