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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM33341

FISH FARMING MONITORING SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM33341

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AB

Anuradha Bakhre

JB

Janaisha Bomanjee

AS

Akshat Sharma

SD

Shravani Dhamne

JM

Jay Malekar

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Abstract

Fish farming, also known as aquaculture, plays a crucial role in meeting the increasing demand for fish products worldwide. PROBLEM STATEMENT: IoT based fish farming monitoring system ensuring the healthy and nourishing growth of the fishes. As we all know that the fish farming business is growing day by day in the market so handling the water quality and growth of healthy growing fishes gets very difficult, as everything has to be done manually. So, to minimizes this work and labor our project comes into the picture. As it saves a lot of time it makes work convenient and a lot easier. efficient management of fish farms requires constant monitoring of various parameters such as water quality, temperature, pH levels, and feeding habits of the fish. Our indented audience would be the local fish farmers or people who own larger fisheries so that integration of our project would make us great benefits as they have large scale fish ponds so they may need more than one monitoring system. The emergence of Internet of Things (IoT) technology provides an opportunity to revolutionize fish farming practices by enabling real-time monitoring and control of key parameters. This project aims to develop an IoT-based fish farming monitoring system to enhance operational efficiency, improve fish health, and optimize resource utilization.

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Cite This Article

Anuradha Bakhre, Janaisha Bomanjee, Akshat Sharma, Shravani Dhamne, Jay Malekar, "FISH FARMING MONITORING SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024.

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Publication Date

12/31/45439

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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