IoT and Big Data Integration for Real-Time Agricultural Monitoring

Abstract

The integration of Internet of Things (IoT) and Big Data technologies has emerged as a transformative force in modern agriculture. This review paper provides a comprehensive examination of the implications and applications of this integration for real-time agricultural monitoring. The paper begins by emphasizing the critical role of agriculture in global food security and economic stability, underscoring the need for innovative solutions to address the challenges facing the sector. The review delves into the key components of the integration, starting with a detailed exploration of the diverse range of IoT devices and sensors instrumental in gathering real-time data. It further emphasizes the importance of robust data handling and transmission mechanisms to facilitate timely decision-making. The significance of data fusion and aggregation processes in distilling meaningful insights from the voluminous data generated is thoroughly examined, along with the pivotal role of data analytics in driving data-driven decision-making and optimizing agricultural operations. Acknowledging the challenges associated with the integration, the review highlights the critical need for scalable systems to accommodate the evolving needs of farms. Additionally, it emphasizes the importance of prudent cost assessment for a sustainable and economically viable implementation.

This review paper provides a comprehensive overview of the integration of IoT and Big Data in agricultural monitoring. By synthesizing these technologies, farmers are poised to embark on a new era of data-driven agriculture, marked by increased efficiency, resource optimization, and ultimately, enhanced global food security.