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This article presents an intelligent fertigation monitoring system for blueberry plantations, designed to operate in real field conditions and optimize irrigation and nutrient management. The system architecture is based on a wireless sensor network implemented with OpenMote-B nodes and innovative communication technologies, utilizing the IEEE 802.15.4 g standard and the MQTT-SN protocol. The nodes, configured with MR-FSK modulation and optimized radio parameters, enable real-time data transmission with high stability and low latency. Tests conducted in an experimental field demonstrated the system’s efficiency and reliability, with a packet loss rate below 2% and an average latency of 30 to 50 ms. Monitoring results showed that pH and electrical conductivity remained within optimal ranges for blueberry cultivation, improving resource use in crop productivity. This scalable and robust system represents an effective tool for precision agricultural applications, contributing to sustainability and efficient management in the agricultural sector.

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Intelligent Fertigation Monitoring in Blueberry Plantations Based on IEEE 802.15.4 g and MQTT-SN Protocol

  • 会议论文

  • 发表日期：

    2026年

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  • Adriana Herdoíza-Díaz,
  • Edgar Maya-Olalla,
  • Marcelo Zambrano,
  • Hernán M. Domínguez-Limaico,
  • Carlos Vásquez-Ayala,
  • Luis Suárez-Zambrano

摘要

This article presents an intelligent fertigation monitoring system for blueberry plantations, designed to operate in real field conditions and optimize irrigation and nutrient management. The system architecture is based on a wireless sensor network implemented with OpenMote-B nodes and innovative communication technologies, utilizing the IEEE 802.15.4 g standard and the MQTT-SN protocol. The nodes, configured with MR-FSK modulation and optimized radio parameters, enable real-time data transmission with high stability and low latency. Tests conducted in an experimental field demonstrated the system’s efficiency and reliability, with a packet loss rate below 2% and an average latency of 30 to 50 ms. Monitoring results showed that pH and electrical conductivity remained within optimal ranges for blueberry cultivation, improving resource use in crop productivity. This scalable and robust system represents an effective tool for precision agricultural applications, contributing to sustainability and efficient management in the agricultural sector.