Smart Agriculture with IoT and Data Analytics: Boosting Yields Sustainably

Abstract

The integration of the Internet of Things (IoT) and Data Analytics in agriculture is reshaping farming practices globally. These advanced technologies enable precision farming, promote optimal resource utilization, and enhance crop yields, directly contributing to sustainable development. This paper delves into the transformative potential of IoT and Data Analytics in modern agriculture. It examines the practical applications of IoT-enabled sensors, data analytics tools, and predictive models in monitoring environmental parameters and improving decision- making. Additionally, it highlights key challenges such as cost barriers, limited connectivity in rural areas, and skill gaps among farmers. Policy interventions, collaborative frameworks, and case studies are discussed to underline the potential of smart agriculture as a cornerstone for food security and environmental sustainability. The document concludes by exploring future trends, such as AI-powered tools, autonomous systems, and blockchain applications, that will define the trajectory of agricultural innovation.