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:
JETIRFN06058


Registration ID:
403967

Page Number

350-357

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Title

ANALYZING AND PREDICTING CROP CULTIVATION FOR THE FUTURE BASED ON THE DISASTERS

Abstract

India is generally an agricultural country. Now a days the most important emerging field in the real world is agriculture and it is the main occupation and backbone of our country. Recent developments in Information Technology for agriculture field has become an interesting research area to predict the crop yield. Crop yield prediction is the methodology to predict the yield of the crops using different parameters like rainfall, temperature and other atmospheric conditions. Data Mining techniques is very popular in the area of agriculture. Data mining techniques are used and evaluated in agriculture for estimating the future years crop production. This paper presents a brief analysis of crop yield prediction using Random Forest Algorithm for all the states in India.

Key Words

Accuracy; Agriculture; Crop yield prediction; Data mining; Random Forest algorithm

Cite This Article

"ANALYZING AND PREDICTING CROP CULTIVATION FOR THE FUTURE BASED ON THE DISASTERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.350-357, June-2022, Available :http://www.jetir.org/papers/JETIRFN06058.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

"ANALYZING AND PREDICTING CROP CULTIVATION FOR THE FUTURE BASED ON THE DISASTERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp350-357, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06058.pdf

Publication Details

Published Paper ID: JETIRFN06058
Registration ID: 403967
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 350-357
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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