To Develop a Water Quality Monitoring System for Aquaculture Areas Based on Agent Model

Abstract

Recently, the environmental pollution has seriously affected the production and life of people in many countries in the world and especially in Vietnam. In particular, aquaculture has been severely affected by the polluted environment, the waste from factories, agricultural production, or even from aquaculture itself. That raises the questions “how to monitor the water quality of aquaculture areas 24/7 and to promptly alert aquaculture farmers and managers to take appropriate response?” Facing this situation, Can Tho University has invested to conduct research and to develop a system to monitor water quality of aquaculture areas based on the actual conditions of the Mekong Delta. In this presentation, we will first describe the agent-based environment monitoring system (AEMS) model, combined triple technologies (sensor, IoT, and agent-based) model. The second introduction is the water quality monitoring system for aquaculture settings based on the AEMS model, we proposed. Thanks to the implement of AEMS model, it not only helps managers and farmers to monitor indicators of water quality at any time, but it also helps to analyze collected data from IoT Agent, send warning messages, and solutions deal with the situation of water environment in each aquaculture farms.