Browse By Repository:

 
 
 
   

Development of an IoT- based monitoring system for water quality in catfish farming

Mohd Zukeri, Umizatul Shafiza (2023) Development of an IoT- based monitoring system for water quality in catfish farming. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

[img] Text (Full Text)
Development of an IoT- based monitoring system for water quality in catfish farming.pdf - Submitted Version

Download (1MB)

Abstract

The growing worldwide population highlights the crucial need for sustainable food supply, with aquaculture, specifically catfish farming, emerging as a possible alternative. However, difficulties such as water contamination affect catfish farming production, and thus the supply of this protein source. Catfish aquaculture considerably improves food security in impoverished areas worldwide. It provides cash and protein to many households, both rural and urban. Catfish farmer, however, encounter various problems during production. One of the most important aspects is the monitoring and management of production resources. Water is the primary resource used in the fish farming process. Insufficient monitoring of water quality, including temperature, dissolved oxygen, pH and ammonia level has resulted in resource waste and low productivity for farmers. This research aims to develop an IoT, based monitoring system for water quality in catfish farming, focusing on identifying factors causing decline in catfish production. This IoT device enable parameter checking such dissolved oxygen, pH, temperature and ammonia level. Choosing appropriate IoT sensors based on accuracy, dependability, compatibility, and cost-effectiveness is crucial for selecting the right sensors. The approach uses the Internet of Things (IoT) to collect water quality data via sensors. Real-time updates on water quality will be provided via a cloud platform. The farmer can then act based on the information presented, or the model can act on the farmer's behalf using predefined actions. The model's data can be extracted and evaluated in many ways. Analyzing and visualizing the data is essential for providing useful insights to catfish farmers. The system will enhance water quality monitoring, improve catfish farming practices, and guide aquaculture industry advances. The findings will promote sustainable and efficient practices, ensuring a reliable and high-quality seafood supply for the growing population.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Catfish, Dissolved oxygen, pH, Temperature, Ammonia, Water quality, IoT
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library
Depositing User: Sabariah Ismail
Date Deposited: 19 Nov 2024 00:16
Last Modified: 19 Nov 2024 00:16
URI: http://digitalcollection.utem.edu.my/id/eprint/33009

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year