Smart Monitoring and Water Quality Management in Aquaculture using IOT and ML

Aquaculture is also known as aquafarming, is the farming of fish, shrimps, and some other water plants and animals in water bodies. Water quality is a critical factor in cultivating aquaculture. The profitability of aquaculture was influenced by various regular water parameters like PH, temperature,...

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Bibliographic Details
Published in:	2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT) pp. 32 - 36
Main Authors:	Kirankumar, P., Keertana, G., Sivarao, S U Abhinash, Vijaykumar, B., Shah, Sh. Chetan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-11-2021
Subjects:	Animals Fish Machine learning PH sensor Profitability Regression algorithms Temperature measurement Temperature sensor Temperature sensors Water quality Water sensor network (WSN)
Online Access:	Get full text
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Summary:	Aquaculture is also known as aquafarming, is the farming of fish, shrimps, and some other water plants and animals in water bodies. Water quality is a critical factor in cultivating aquaculture. The profitability of aquaculture was influenced by various regular water parameters like PH, temperature, dissolved oxygen, carbonates, nitrates, ammonia, etc. The sustainability and profitability of aquaculture were developed by implementing emerging technologies. The proposed framework, implemented using Arduino and Machine Learning. The Arduino Uno gathers information like PH, Temperature, Dissolved Oxygen, turbidity in water using sensors and parameters predicted in advance using machine learning techniques. If the desired range of the parameters was exceeded it will send an alert notification to the farmer in advance so that he will be able to do the required changes.
DOI:	10.1109/ICISSGT52025.2021.00018