MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA
Fluctuationinprices of Agricultural products is inevitable in developing countries faced with economic depression and this, has brought a lot of inadequaciesin the preparation of Government financial budget. Consumers and producers are poorly affected because they cannot take appropriate decision at...
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doaj-6771a4eb7f144b908cdf3208f2a5f0ab2020-11-24T21:41:24ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772018-08-01141536310.23743/acs-2018-05MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA Odunayo OLANLOYE0Esther ODUNTAN 1Department of Computer Science, Emmanuel Alayande College of Education, OyoDepartment of Computer Science, Federal Polytechnic, IlaroFluctuationinprices of Agricultural products is inevitable in developing countries faced with economic depression and this, has brought a lot of inadequaciesin the preparation of Government financial budget. Consumers and producers are poorly affected because they cannot take appropriate decision at the right time. In this study, Machine Learning(ML) predictive modeling is being implemented using the MATLAB Toolboxto predict the price of cassava derivatives (garri) in the SouthWestern part of Nigeria.The model predicted that by the year 2020, all things being equal,the price of (1kg) of garri will be N500.This will boost the Agricultural sector and the economy of the nation.http://acs.pollub.pl/pdf/v14n1/5.pdffluctuationpricesmachine learningpredictive modelcassava derivative |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Odunayo OLANLOYE Esther ODUNTAN |
spellingShingle |
Odunayo OLANLOYE Esther ODUNTAN MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA Applied Computer Science fluctuation prices machine learning predictive model cassava derivative |
author_facet |
Odunayo OLANLOYE Esther ODUNTAN |
author_sort |
Odunayo OLANLOYE |
title |
MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA |
title_short |
MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA |
title_full |
MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA |
title_fullStr |
MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA |
title_full_unstemmed |
MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE(GARRI) IN THE SOUTH WEST OF NIGERIA |
title_sort |
machine learning predictive modeling of the price of cassava derivative(garri) in the south west of nigeria |
publisher |
Polish Association for Knowledge Promotion |
series |
Applied Computer Science |
issn |
1895-3735 2353-6977 |
publishDate |
2018-08-01 |
description |
Fluctuationinprices of Agricultural products is inevitable in developing countries faced with economic depression and this, has brought a lot of inadequaciesin the preparation of Government financial budget. Consumers and producers are poorly affected because they cannot take appropriate decision at the right time. In this study, Machine Learning(ML) predictive modeling is being implemented using the MATLAB Toolboxto predict the price of cassava derivatives (garri) in the SouthWestern part of Nigeria.The model predicted that by the year 2020, all things being equal,the price of (1kg) of garri will be N500.This will boost the Agricultural sector and the economy of the nation. |
topic |
fluctuation prices machine learning predictive model cassava derivative |
url |
http://acs.pollub.pl/pdf/v14n1/5.pdf |
work_keys_str_mv |
AT odunayoolanloye machinelearningpredictivemodelingofthepriceofcassavaderivativegarriinthesouthwestofnigeria AT estheroduntan machinelearningpredictivemodelingofthepriceofcassavaderivativegarriinthesouthwestofnigeria |
_version_ |
1725922233870712832 |