This paper presents the design and implementation of an agricultural monitoring system based on Wi-SUN FAN technology, focusing on blueberry production. The system employs a wireless sensor network (WSN), utilizing OpenMote-B nodes to continuously monitor key environmental parameters such as soil temperature, humidity, and pH in a greenhouse environment. The collected data are transmitted via Wi-SUN FAN, enabling real-time analysis and decision-making through a cloud-based platform. The study demonstrates the effectiveness of the system in improving crop management, optimizing resource use, and enhancing productivity by providing timely alerts and recommendations to farmers. The system’s architecture, including sensor nodes, data acquisition, and cloud integration, is discussed in detail. Results from field tests highlight the system’s scalability, low power consumption, and reliability, making it suitable for large-scale agricultural applications.