IoT-based Drip Irrigation Monitoring and Controlling System using NodeMCU and Raspberry Pi
- DOI
- 10.2991/icst-18.2018.115How to use a DOI?
- Keywords
- greenhouse; drip irrigation; NodeMCU; Raspberry Pi, MQTT
- Abstract
Drip irrigation can be applied in greenhouse farming system, which small amounts of water and fertilizer can be feed uniformly to the crop root zone. In this work, an IoT-based drip irrigation monitoring and controlling strategy for greenhouse farming systems is proposed. It aims to automatically control the AB-mix nutrition feeding system for the plants. Each sensor and actuator involved in this system was developed to be a single object. Then, the respective objects could be programmed accordingly to perform their own function such as controlling the pumps, controlling the valve, detecting the nutrient level, sensing the soil humidity, etc. Each object has a unique identity to allow a streamlined communication between gateway and the objects by employing a light MQTT protocol. The MQTT protocol needs two components namely MQTT Client and MQTT Broker. The MQTT broker was installed on Raspberry Pi by using Mosquitto platform whereas the MQTT Client was installed on each NodeMCU for sensing or controlling the environmental parameters involved in drip irrigation process. Finally, a real-time data acquisition from sensors and actuators can be monitored through a web-based interface.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - I Nyoman Kusuma Wardana AU - Padma Nyoman Crisnapati AU - Komang Agus Ady Aryanto AU - Ngakan Nyoman Kutha Krisnawijaya AU - I Wayan Aditya Suranata PY - 2018/12 DA - 2018/12 TI - IoT-based Drip Irrigation Monitoring and Controlling System using NodeMCU and Raspberry Pi BT - Proceedings of the International Conference on Science and Technology (ICST 2018) PB - Atlantis Press SP - 557 EP - 560 SN - 2589-4943 UR - https://doi.org/10.2991/icst-18.2018.115 DO - 10.2991/icst-18.2018.115 ID - Wardana2018/12 ER -