UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRCS06040


Registration ID:
211832

Page Number

178-182

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Title

Crop Prediction System using Machine Learning

Abstract

Looking at the current situation faced by farmers, we have observed that there is an increase in suicide rate over the years. The reasons behind this situation are weather conditions, debt, family issues. Sometimes farmers are not aware about the crop which suits their soil quality, soil nutrients and soil composition and rain fall value. The work proposes to help farmers check the soil quality depending on the analysis done based on data mining approach. Thus the system focuses on checking the soil quality and rainfall value to predict the suitable crop for cultivation and that can maximize the crop yield by using machine learning algorithm like decision tree algorithm and SMA.

Key Words

Soil, Crop, Machine learning, Predication, SMA

Cite This Article

"Crop Prediction System using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.178-182, May 2019, Available :http://www.jetir.org/papers/JETIRCS06040.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

"Crop Prediction System using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp178-182, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06040.pdf

Publication Details

Published Paper ID: JETIRCS06040
Registration ID: 211832
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 178-182
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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