Designing Smart Agriculture Systems: Merging IoT, Computer Science, and Agricultural Engineering

Introduction: Smart technology has revolutionized the agricultural industry, leading innovations in sustainability, resource economy, and precision farming. This work studies the advancement of smart agriculture systems, wherein the Internet of Things (IoT), computer science, and agricultural engineering collate. Through IoT devices, data analysis, and automation, this paper proposes a smart agriculture framework designed to improve the efficiency of crop production, resource utilization, and environmental sustainability. This paper provides a general review of IoT-based sensor networks for real-time monitoring, data collecting, and decision-making. We review key components of the system such as the automated control systems, data transfer, and predictive analytics machine learning algorithms. Case studies and experimental data from different agriculture setups are presented, demonstrating how the method improves productivity, minimizes waste.