Design and Validation of Wireless Soil Monitoring System for Precision Crop Management: Precision Agriculture, Wireless Sensor Network, LoRa, Soil Monitoring, Cloud Sever.

Thephalak  Chanthaboury; Phosy  Panthongsy; Nouanchanh  Panyanouvong; Donekeo  Lakanchanh; Khamphong  Khongsomboon; Phutsavanh  Thongphanh; Phouthong  Southisombath; Deth  Sengaloun

doi:10.71026/ls.2025.02005

Authors

Thephalak Chanthaboury Department of Electronics and Telecommunication Engineering, Faculty of Engineering, National University of Laos Author
Phosy Panthongsy Department of Electronics and Telecommunication Engineering, Faculty of Engineering, National University of Laos Author
Nouanchanh Panyanouvong Department of Electronics and Telecommunication Engineering, Faculty of Engineering, National University of Laos Author
Donekeo Lakanchanh Department of Electronics and Telecommunication Engineering, Faculty of Engineering, National University of Laos Author
Khamphong Khongsomboon Department of Electronics and Telecommunication Engineering, Faculty of Engineering, National University of Laos Author
Phutsavanh Thongphanh Department of Electronics and Telecommunication Engineering, Faculty of Engineering, National University of Laos Author
Phouthong Southisombath Department of Electronics and Telecommunication Engineering, Faculty of Engineering, National University of Laos Author
Deth Sengaloun Department of Plant Science, Faculty of Agriculture, National University of Laos Author

DOI:

https://doi.org/10.71026/ls.2025.02005

Keywords:

Precision Agriculture, Wireless Sensor Network, LoRa, Soil Monitoring, Cloud Sever

Abstract

Precision crop management is essential for optimizing agricultural productivity and sustainability. This study presents the development of a multi-parameter soil wireless sensor monitoring system designed for real-time data collection to support precision agriculture. The system consists of sensor nodes that measure key soil parameters such as moisture, temperature, electrical conductivity (EC), pH, and nutrient levels (Nitrogen, Phosphorus, and Potassium). These sensor nodes, built with Arduino and Dragino LoRa Shields, communicate wirelessly via LoRa technology to a central gateway based on an ESP32 microcontroller. The gateway processes and forwards the collected data to a cloud server using the MQTT protocol. The cloud server, hosted on a Raspberry Pi, integrates InfluxDB for time-series data storage and Grafana for real-time data visualization, enabling farmers to access soil health information remotely. This architecture is optimized for low power consumption, long-range communication, and scalability, making it suitable for large agricultural fields. The system provides a cost-effective and efficient tool for monitoring soil conditions, enhancing resource management, and promoting sustainable farming practices by improving crop yield and reducing environmental impact.