A Proposed Model of Fishpond Water Quality Measurement and Monitoring System based on Internet of Things (IoT)

Abstract

Aquaculture in Malaysia is now being promoted as an important engine of growth and eventually becoming the pillar of the economy of the nation. However, healthy fish production requires intensive care, and to ensure a stable and healthy production environment inside the fishpond is a challenging task. While cultivating aquatic organisms, water quality is a critical factor. It depends mainly on various parameters such as dissolved oxygen, ammonia, pH, temperature, salt, nitrates, carbonates, etc. In most places, this testing is performed by fishpond farmers manually or by researchers through laboratory testing where there is no real-time monitoring. Today, with the advancement of the Internet of Things (IoT) and sensors, the technology is reaching the ground level with its application uses in agriculture and aquaculture. It is highly desirable to have an IoT - based automated system that can continuously measure and monitor fishpond with optimum utilization of resources. This paper proposes a model for real time measurement and monitoring system based on IoT technology for measuring and monitoring the water parameters in fishpond. We used a qualitative method to investigate perceptions, experiences, and ideas of fishpond farmers in order to propose the model. With the help of the proposed model, the quality of water can be continuously measured and monitored to ensure the growth and survival of fish in pond. As a result, preventive action can be taken in a timely manner to minimize losses and increase productivity.

Internet of Things (IoT)‐based aquaculture: An overview of IoT application on water quality monitoring

“…A use case for the intelligent management framework (IMPAQT) was introduced for integrated multi‐trophic aquaculture (IMA) 36 that includes sensors such as behavioural control, disease detection, intelligent feeding and feed waste management solutions. For measuring and tracking, the water factors in the fishpond a methodology were introduced for real‐time identification and supervising systems based on IoT technology 23 . Modelling a qualitative approach to analyse the attitudes, perspectives and ideas of fishpond farmers can be an excellent ground break breaking solution for continuous assessment and tracking of water quality to ensure the growth and survival of aquaculture organisms.…”

“…The correlations are as follows: Information fusion, web‐server‐embedded and mobile telecommunication technology, wireless sensor networks with single‐chip computer technology, wireless sensor networks and cloud computing are mostly used to determine the common parameters of DO, pH and T (Figure 3). Sensor nodes, chemical sensors, smart sensors, analogue sensors, digital sensors, sensor probes, satellites, and crowd data are widely used sensors to transfer data of DO, pH, T in an IoT‐based aquaculture system 23,29–33,35,37 (Figure 3). NH 3 , , , CO 2 and H 2 S are usually detected by wireless network, wireless sensor network (WSN) and next‐gen telco technologies (Figure 3).…”

“…Sensor nodes, chemical sensors, smart sensors, analogue sensors, digital sensors, sensor probes, satellites, and crowd data are widely used sensors to transfer data of DO, pH, T in an IoT-based aquaculture system 23,[29][30][31][32][33]35,37 (Figure 3).…”

Aplikasi Kontrol Kualitas Air dan Pakan Untuk Peningkatan Produktivitas Budidaya Betta Fish

“…Jika kandungan TDS air ini tinggi maka akan memiliki efek yang merugikan termasuk sedimentasi dan korosi [10]. Kandungan terlarut yang tinggi juga akan menyebabkan ikan mati dan menurunkan PH air, yang menyebabkan kondisi hiperkapnia yang membuat stres bagi ikan [11]. pH merupakan indeks konsentrasi ion hidrogen ([H+]) di dalam air [12].…”

Analysis and Development of IoT-based Aqua Fish Monitoring System

“…The industry has been recognized as a priority emphasis in the government's most recent policy program, which runs from the year 1998 to the year 2010. The target is to increase aquaculture productivity by 200 percent by 2010 [8]. The Malaysian aquaculture business produces 391,000 t of farmed organisms annually, with an expected economic worth of about USD 700 million in 2019 [9].…”