Real-time Monitoring of Water Quality in Animal Farm: An IoT Application

Currently 11.3% of water contamination is caused by animal farming in the world. This is happening because it is not easy to monitor water quality since it cost not only in term of money, but also time consuming and workload. This conventional method is not efficient since by the time the data is received from the lab the water might already contaminated and it is hard and very cost to recover the cleanliness of waterways. The objectives of this project is to develop a device which can monitor water quality by getting a real-time data for the user to know current condition of their waterways from their farm and able to take fast action to keep the cleanliness of their waterways to prevent environmental impact. This project is focusing on three Water Quality Index (WQI) parameters which are temperature, pH, and turbidity. By implementing the application of the Internet of Thing (IoT), the user able to monitor the water quality wirelessly from their mobile device. The real-time data from this project is not only beneficial to one user (animal farmer) but to another party (such DoE & researchers) to use the database on doing a research or doing their own purposes.