Mohamud et al. (2026) Internet of things-based smart irrigation system using soil moisture and weather data

Identification

• Journal: TELKOMNIKA (Telecommunication Computing Electronics and Control)
• Year: 2026
• Date: 2026-09-21
• Authors: Zakarie Abdi Mohamud, Rozeha Binti A. Rashid, Yazid Abubakar Sufyan
• DOI: 10.12928/telkomnika.v24i5.27889

Research Groups

• School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM)
• Department of Telecommunication Engineering, Faculty of Engineering, Hormuud University, Mogadishu, Somalia

Short Summary

This study presents an IoT-based smart irrigation system that integrates soil moisture sensing with real-time weather data and edge computing to support efficient irrigation management. The proposed system demonstrated reliable performance under controlled conditions, achieving 100% classification accuracy across critical dry, optimal, and critical wet scenarios.

Objective

• To develop a low-cost and practical smart irrigation solution that combines real-time sensing, weather forecast integration, and local processing within a single framework.
• To evaluate the effectiveness of IoT-based smart irrigation systems in improving water-use efficiency and reducing unnecessary water usage.

Study Configuration

• Spatial Scale: Field-scale irrigation management
• Temporal Scale: Real-time monitoring and control

Methodology and Data

• Models used: Rule-based decision mechanism, edge computing using Raspberry Pi
• Data sources: Soil moisture sensor data, weather information from online API

Main Results

• The proposed system achieved 100% classification accuracy across critical dry, optimal, and critical wet scenarios.
• The notification mechanism operated effectively by generating alerts only during critical conditions while avoiding unnecessary notifications during optimal states.

Contributions

• Original contribution of this work is the development of a low-cost and practical smart irrigation solution that combines real-time sensing, weather forecast integration, and local processing within a single framework.
• The proposed system has the potential to improve water-use efficiency and support sustainable agricultural practices through condition-based irrigation management.

Funding

• No funding was received for this research.

Citation

@article{Mohamud2026Internet,
  author = {Mohamud, Zakarie Abdi and Rashid, Rozeha Binti A. and Sufyan, Yazid Abubakar},
  title = {Internet of things-based smart irrigation system using soil moisture and weather data},
  journal = {TELKOMNIKA (Telecommunication Computing Electronics and Control)},
  year = {2026},
  doi = {10.12928/telkomnika.v24i5.27889},
  url = {https://doi.org/10.12928/telkomnika.v24i5.27889}
}