MACHINE LEARNING PREDICTIVE MODELING OF THE PRICE OF CASSAVA DERIVATIVE (GARRI) IN THE SOUTH WEST OF NIGERIA
Journal Title: Applied Computer Science - Year 2018, Vol 14, Issue 1
Abstract
Fluctuation in prices of Agricultural products is inevitable in developing countries faced with economic depression and this, has brought a lot of inade-quacies in the preparation of Government financial budget. Consumers and producers are poorly affected because they cannot take appropriate de-cision at the right time. In this study, Machine Learning(ML) predictive mod-eling is being implemented using the MATLAB Toolbox to predict the price of cassava derivatives (garri) in the South Western 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 econ-omy of the nation.
Authors and Affiliations
Odunayo OLANLOYE, Esther ODUNTAN
Keywords
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- EP ID EP560750
- DOI 10.23743/acs-2018-05
- Views 52
- Downloads 0
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