UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 8
August-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2008399


Registration ID:
300559

Page Number

696-708

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Title

REAL TIME MONITORING OF AQUACULTURE AND SURVEILLANCE USING RASPBERRY PI

Abstract

1 RESEARCH SCHOLAR IN SAGI RAMAKRISHNAM RAJU ENGINEERING COLLEGE, BHIMAVARAM, ANDHRAPRADESH, INDIA. 2 PROFESSOR IN ECE IN SAGI RAMAKRISHNAM RAJU ENGINEERING COLLEGE, BHIMAVARAM, ANDHRAPRADESH, INDIA. Abstract: Aquaculture is one of the generally stretching out ventures inferable from the quick interest for fish everywhere throughout the world. While aquaculture and Internet of things (IoT) have exponentially grown in the world in the last years, the combination of both domains still remains at its early stage. We believe that developing user-friendly Internet of things (IoT) tools for fish farming will lead to a new era of connected, responsible and efficient aquaculture. Internet of things (IoT) for aquaculture needs to be smart, affordable, easy to deploy, reliable and highly efficient. This undertaking proposes an ongoing monitoring answer for estimating the physiochemical parameters of water and a choice emotionally supportive network for information stockpiling, monitoring, breaking down and sending the data to the users required at the ideal time and furthermore our proposed model uses raspberry pi to underpin remote real time monitoring of aqua-culture. In this undertaking, we utilize different sensors like pH esteem, temperature sensors and computerized surveillance with a remote pi camera module v2/v3 to empower live monitoring of the aqua-culture refined locales and their environment. In this work we present the prototype and proof of concept of a distributed monitoring system of the aquaculture is totally dependent on the physical parameters of water to most of the extent. Water quality is determined by variables like temperature, transparency, turbidity, water colour, carbon dioxide, pH, alkalinity, hardness, unionized ammonia, nitrite, nitrate, primary productivity, BOD, plankton population etc. In our proposed model, real time monitoring of culture and the water quality management principles in fish culture have been reviewed to make aware farmers about the important parameters that influence health of a pond. The experimental results show that the system has great prospect and can be used to operate in real world environment in large scale for optimum control of aquaculture environment.

Key Words

Arduino, Aqua-Culture, Internet of Things, Raspberry pi, Sensors, Water quality parameters, Mobile & Cloud Computing.

Cite This Article

"REAL TIME MONITORING OF AQUACULTURE AND SURVEILLANCE USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.696-708, August 2020, Available :http://www.jetir.org/papers/JETIR2008399.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"REAL TIME MONITORING OF AQUACULTURE AND SURVEILLANCE USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp696-708, August 2020, Available at : http://www.jetir.org/papers/JETIR2008399.pdf

Publication Details

Published Paper ID: JETIR2008399
Registration ID: 300559
Published In: Volume 7 | Issue 8 | Year August-2020
DOI (Digital Object Identifier):
Page No: 696-708
Country: vijayawada, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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