IoT Based Smart Monitoring System for Fish Farming

Abstract

The purpose of the current method is to create a safe and secure that helps the fish pond owners and aquatic planters in producing high quality fish by maintaining normal water levels in the fish tank. The flow of the low or high water in the fish pond will solve the long-term problem of killing fish in a fish tank. Each water quality can affect the health of animals alone. The flow of water on fish ponds discusses how every day should be monitored. This should ensure quality by handling the PH, membrane, temperature, ammonia etc. It is a symbol of good quality water quality standards and poor water quality pools and how it should be upgraded. It is recommended that a prerequisite to increase production by ensuring sustainable fresh quality, and consequently, priority should be given priority. Therefore, water quality parameters maintain balanced positions, culture is the basis for the health and development of living organisms. It is recommended to monitor and evaluate water quality parameters on a regular basis

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

“…Monitoring F I G U R E 2 A usual Internet of Things-based aquaculture system includes sensors, communication protocol, cloud storage, data processing by database station and circulation of an informed decision to the farmers. Some systems include an alarm system that triggers the actuator such as an aerator to fix the water condition back to normal (modified 22,23,[30][31][32]34,[46][47][48][49][50][51][52][53][54][55][56] of water quality based on the Wireless Sensor Network (WSN) and technology of single-chip computer is in the tangible operation to realise the water environment variables and provide real-time alarm notification via SMS (short message service). The notification is obtained when the abnormal values of tracked parameters are collected.…”

“…Framework & architecture 22,23,31,33,34,47,49,51,56,59 Formulated understanding of the phenomena of IoT-based aquaculture research The research was developed in different variations and contexts based on predictions and hypotheses 48 Experiment 30,32,46,50,54,55,60 The research was conducted scientifically, and the result was obtained on a practical basis 33…”

“…Real-time monitoring 23,[30][31][32]34,49,52,56,60,62,63 50 Remote monitoring 30,47,51,54,62 20 Automated 29,52,53,56 17 Early warning monitoring 55 7…”

Examining the effect of aquaculture using sensor‐based technology with machine learning algorithm

“…In this process, even if exact solutions are not obtained, near exact solutions will be found (Prabhu, 2018). The same method is implemented (Ramya, Rohini, & Ravi, 2019) but instead of android application, an online monitoring method using ThingSpeak is used for precise monitoring. In Ramya et al (2019), an Arduino will only be placed but it is very difficult to monitor the feed when the fish are cultivated in other areas (Ramya et al, 2019).…”

“…The same method is implemented (Ramya, Rohini, & Ravi, 2019) but instead of android application, an online monitoring method using ThingSpeak is used for precise monitoring. In Ramya et al (2019), an Arduino will only be placed but it is very difficult to monitor the feed when the fish are cultivated in other areas (Ramya et al, 2019). Additionally, a new program called TeamViewer is used by implementing the video monitoring system (Krishna, Rao, & Reddy, 2019) where more efficient protocols will be used for accessing the feed of fish.…”