UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Volume 11 Issue 4
April-2024
eISSN: 2349-5162

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

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JETIR2404284


Registration ID:
536300

Page Number

c776-c780

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Title

Data Analytics and Technologies utilized in Aquaculture

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Abstract

India has a long coastline of 8118 km and also has backwaters, bays, estuaries, etc. The aquaculture and marine fisheries in India has pulsating economical activities, and is one of the fastest growing nutrition rich food production area. Generally the marine aquaculture is vitally important to the economy and good fortune of coastal community people that provides them job opportunities, food security, income and livelihoods and it is also provides their traditional cultural identity. Sustainability of marine aquaculture is significantly important in terms of social, political, ecological, and economic stability. Marine fishes are highly perishable commodity, so fish processing process always requires appropriate landing amenities, processing, stowage, transport and dissemination facilities throughout the process of supply chain from capture to purchaser. Oceanic fishes usually shows a wide-ranging response to spatial and temporal variations in the environment of the sea and these are shown in climate data and oceanographic data. The captured fishes and aquaculture provides more than 12.9 million tonnes of different aquatic organisms that are used to feed millions of people. Further, it is a central economic activity for the fisherman and coastal people, it also provides livelihood to more than 14.5 million people. Aquaculture has earned significant foreign exchange from fish and fishery products. Consistent rapid growth and technological progress in aquaculture, the large volume of information and scientific data currently available in fisheries, and aquaculture along with its allied activities are always increasing day by day along with the technology advancement. Many researches have been made to explore and extract the fullest essence of information from the available data sources to develop intelligent machine support systems for all the activities in aquaculture management, but still there is a need for more all-inclusive efforts to analyse and predict the patterns that are repeated in aquaculture. In this ambiance, we will illustrate and concisely discuss the data mining process and machine intelligent techniques and their scope of application in capture fisheries and aquaculture that includes 1.Overview of data mining utilized in aquaculture; 2.Computational methods in Aquaculture management; 3.Environment monitoring using machine intelligence; 4. Feed optimization using computer technology; 5.Socioeconomics in fisheries and aquaculture.

Key Words

Data mining, Fish, Fisheries, Aquaculture, Artificial Intelligence

Cite This Article

"Data Analytics and Technologies utilized in Aquaculture ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c776-c780, April-2024, Available :http://www.jetir.org/papers/JETIR2404284.pdf

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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

"Data Analytics and Technologies utilized in Aquaculture ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc776-c780, April-2024, Available at : http://www.jetir.org/papers/JETIR2404284.pdf

Publication Details

Published Paper ID: JETIR2404284
Registration ID: 536300
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.38790
Page No: c776-c780
Country: Coimbatore, Tamilnadu, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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