Abstract

The global challenges of food security, resource scarcity, and climate change have intensified the need for advanced technologies in agricultural production. Smart Farming, leveraging Information and Communication Technologies (ICT), the Internet of Things (IoT), and Cloud Computing, is revolutionizing traditional farming practices through real-time monitoring, predictive analytics, and data-driven decision-making. This study developed a microcontroller-based agricultural data monitoring system to address these challenges by enabling the remote, continuous tracking of key environmental parameters such as soil moisture, soil temperature, ambient humidity, and irrigation water temperature. The system architecture integrates an ESP32 microcontroller, low-cost sensors, and the ThingSpeak cloud platform to ensure reliable data acquisition, wireless transmission, and visualization. Through real-time data collection and cloud-based analysis, the proposed system aims to optimize resource use, enhance crop productivity, and support sustainable farming practices. The platform provides flexible accessibility for end users via desktop and mobile devices, facilitating evidence-based agricultural management. Furthermore, the system design emphasizes scalability, low power consumption, and cost-efficiency, making it a suitable solution for small- and medium-scale farmers. In the broader context of Smart Farming and Big Data-driven agriculture, the developed system creates open, collaborative infrastructures that empower farmers with actionable insights while addressing critical socio-economic challenges in the evolving agri-food ecosystem.

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