Advances in Precision Agriculture Technologies for Sustainable Crop Production

Abstract

Precision agriculture (PA) encompasses a set of technologies that allow farmers to collect data on variations within fields and manage crops at a more granular level. PA technologies include sensors, satellite imagery, information management tools and variable rate application systems. Together, these enable data-driven, site-specific decision making to optimize productivity while minimizing environmental impacts. This review examines recent advances in PA technologies and their role in supporting sustainable crop production. Key developments reviewed include remote sensing platforms and techniques, proximal soil sensors, variable rate systems, robotics and automation, and decision support tools powered by artificial intelligence and machine learning. Challenges and future directions are also discussed. Widespread adoption of PA technologies has the potential to increase yields and profitability for farmers while reducing use of inputs such as water, nutrients, and pesticides. However, barriers to adoption exist, including costs, technical complexity, and integration challenges. Continued innovation and knowledge transfer will be critical to unlocking the full promise of PA for sustainable agriculture.