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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Polish Association for Knowledge Promotion
2018-08-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | http://acs.pollub.pl/pdf/v14n1/5.pdf |
| Summary: | 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. |
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| ISSN: | 1895-3735 2353-6977 |