Design and development of an irrigation monitoring and control system based on blynk internet of things and thingspeak
The scarcity of water resources exacerbated by climate change poses a major challenge for sustainable agriculture. This study presents an Internet of Things (IoT)-enabled irrigation system designed for real-time monitoring and precise water control. Using the Blynk platform and ThingSpeak for data management, the system integrates sensors for soil moisture, temperature, and humidity with a NodeMCU module to optimize irrigation practices. Initial results demonstrate the system's effectiveness in improving water use efficiency and supporting sustainable agricultural practices, providing a low-cost, accessible solution for small and medium-scale farmers.
Authors
- Muhammad Salehuddin
- Fahmy Rinanda Saputri (ORCID: https://orcid.org/0000-0002-2247-9361)
- Danial Md Nor (ORCID: https://orcid.org/0000-0003-0838-454X)
- Ricardo Linelson (ORCID: https://orcid.org/0009-0003-9761-4155)
- Muhammad Imran Ahmad (ORCID: https://orcid.org/0000-0002-9157-5998)
Institutions
- Multimedia Nusantara University (ID)
- Universiti Malaysia Perlis (MY)
- Tun Hussein Onn University of Malaysia (MY)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1371/journal.pone.0321250
- Citations
- 4
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 7.00