IOT-Empowered Automation Systems in Smart Agriculture
Bhodisatwa Banner *
Department of Farm Machinery and Power Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur – 584104, India.
Sunil Shirwal
Department of Farm Machinery and Power Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur – 584104, India.
M. G. Pradeep
Department of Farm Machinery and Power Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur – 584104, India.
K. N. Shashanka
Department of Farm Machinery and Power Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur – 584104, India.
K. V. Prakash
Department of Farm Machinery and Power Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur – 584104, India.
V. Raghavendra
Department of Farm Machinery and Power Engineering, College of Agricultural Engineering, University of Agricultural Sciences, Raichur – 584104, India.
*Author to whom correspondence should be addressed.
Abstract
Agriculture is undergoing rapid digital transformation driven by the need to enhance productivity, ensure food security, optimise resource utilisation and mitigate the impacts of climate variability. In this context, IoT-empowered automation systems have emerged as foundational technologies for smart agriculture by integrating sensors, wireless communication networks, cloud and edge computing, artificial intelligence and automated control mechanisms within a unified framework. This review presents a comprehensive overview of IoT-based smart agriculture, covering its evolution from traditional and precision farming to fully integrated smart farming systems. The architecture of IoT-enabled agriculture is discussed through sensing, communication, data processing and application layers, with emphasis on soil and environmental sensors, microcontrollers, cloud platforms and decision-support systems. The manuscript further examines communication technologies, including Wi-Fi, ZigBee, LoRaWAN, NB-IoT and cellular networks, as well as software platforms that support data analytics, machine learning and farm management integration. Major applications, including automated irrigation, precision nutrient management, crop monitoring, greenhouse climate control and livestock management, are reviewed to demonstrate the practical role of IoT-driven automation in different production settings. Reported evidence indicates 20-50% water savings through sensor-based precision irrigation and automated control, 10-30% improvement in fertiliser-use efficiency through IoT-integrated fertigation and variable-rate application, 10-25% reduction in environmental footprint, 15-35% productivity gains and 10-20% improvement in climate resilience. Despite these benefits, high implementation costs, interoperability issues, connectivity limitations, data-security concerns and technical skill gaps continue to restrict large-scale adoption. The review highlights the need for cost-effective, scalable, secure and farmer-oriented IoT solutions for sustainable smart agriculture and practical farm management.
Keywords: Smart agriculture, internet of things, agricultural automation, precision irrigation, sensor networks, decision-support systems, cloud computing, edge computing, resource-use efficiency, climate resilience