Sep 2026· International Symposium on Networks, Computers and Communications· pp. 1-8· 0 citations· 7 references
Abstract
This paper presents the design and deployment of a fully customized fog-based monitoring system for smart greenhouse agriculture. Unlike most off-the-shelf solutions, our system was built from the ground up: from the design and fabrication of sensors and actuators to the implementation of a real-time fog computing architecture and data visualization interface. The goal was to create an end-to-end, scalable, and cost-effective solution capable of supporting decision-making in controlled agricultural environments. The engineered sensors have a battery life of 12 months and a unit cost of $12.67, highlighting the system's affordability and long-term usability. We detail the engineering process, hardware and software integration, and the challenges faced during the system's deployment. Initial results demonstrate the system's effectiveness in collecting, processing, and visualizing environmental data, enabling proactive intervention to optimize plant growth and resource usage.
Continuous monitoring of water quality is essential for supporting environmental management and enabling timely decision-making in wastewater treatment facilities. Although numerous Internet of Things (IoT) solutions have been proposed for environmental monitoring, many rely on proprietary cloud platforms or commercial...
Through closed-loop water circulation, demand-driven irrigation, and efficient resource utilization, the developed system demonstrates potential for sustainable urban food production while supporting Sustainable Development Goals 7 (Affordable and Clean Energy) and Sustainable Development Goals 13 (Climate Action).
Muhammad Nizam Kamarudin, S. Rozali, M. S. Jamri et al.· International journal of res...· 0 citations
Smart agriculture is a key application domain of the Fourth Industrial Revolution (4IR), where cyber–physical systems, the Internet of Things (IoT), and data-driven analytics converge to improve productivity, sustainability, and resource efficiency. In this context, large volumes of sensor data collected in the field f...
Alvertos Ioannis Mourikis, I. Polenakis, Christos Sarantidis et al.· Signals· 0 citations
Edge computing has emerged as a promising solution for reducing communication latency in Internet of Things (IoT) applications that require real-time decision-making. This paper presents a comparative performance analysis of edge-and cloud-based computing architectures for a real-time IT irrigation system. A prototype...
Zakarie Abdi Mohamud, Rozeha A. Rashid, Sufyan Yazid Abubakar et al.· 2026 IEEE International Conf...· 0 citations
A dependability analysis of a real IoT-enabled weather monitoring platform based on a Weather Monitoring Approach (WMA), modeled using Stochastic Petri Nets to evaluate availability and reliability, while explicitly modeling energy autonomy as a cross-cutting operational constraint that affects continuous operation is...
Vinícus Lima, B. Nogueira, Willy Tiengo et al.· Journal of Software and Syst...· 0 citations
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