SMART FARMING TECHNOLOGIES: A METHODOLOGICAL OVERVIEW AND ANALYSIS

Abstract

The rapid advancement of smart farming technologies has revolutionized modern agriculture, enabling precision, efficiency, and sustainability. This paper presents a comprehensive methodological overview and analysis of various smart farming approaches, including Internet of Things (IoT)-based monitoring, wireless sensor networks, automated irrigation, drone-assisted crop surveillance, and data-driven decision-making platforms. Key methodologies are examined in terms of system architecture, communication protocols, automation strategies, and performance metrics. The analysis highlights the benefits of these technologies, such as optimized resource utilization, improved crop yield, reduced labor dependency, and enhanced environmental sustainability. Additionally, challenges related to scalability, cost, interoperability, and data security are discussed. By synthesizing current practices and innovations, this study provides valuable insights into the design, implementation, and optimization of smart farming systems, offering a strategic roadmap for researchers, policymakers, and practitioners aiming to advance sustainable, technology-driven agriculture.