UGC Approved Journal no 63975(19)

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

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFN06050


Registration ID:
403975

Page Number

301-306

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Title

ANALYSING THE DATA WITH THE REGION TO FINDOUT THE PROPER CROP TO BE CULTIVATED

Abstract

Crop cultivation was done by the farmers based on the hands-on expertise. Climatic change made the crop yield badly the farmers were unable to choose the correct crop and soil whereas selecting the crops and land mostly it was not resulted in failure .predicting the crop had given good results in the production. Whereas machine learning plays a terrific role in prediction. Crop prediction is based on the soil,geographic and climatic assign. Crop is a part of prediction it is done by the feature selection technique. This work is a comparitive study of various wrapper feature selection methods are put forth for crop prediction using classification techniques that is suitable crop for the land is suggested

Key Words

unsupervised learning, Crop cultivation, machine learning (ML),k means

Cite This Article

"ANALYSING THE DATA WITH THE REGION TO FINDOUT THE PROPER CROP TO BE CULTIVATED", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.301-306, June-2022, Available :http://www.jetir.org/papers/JETIRFN06050.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

"ANALYSING THE DATA WITH THE REGION TO FINDOUT THE PROPER CROP TO BE CULTIVATED", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp301-306, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06050.pdf

Publication Details

Published Paper ID: JETIRFN06050
Registration ID: 403975
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 301-306
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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