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.

Olanloye, O., & Oduntan, E. (2018). Machine learning predictive modeling of the price of cassava derivative(garri) in the South West of Nigeria. Applied Computer Science, 14(1), 53-63. doi:10.23743/acs-2018-05

Olanloye, Odunayo, and Esther Oduntan. "Machine Learning Predictive Modeling of the Price of Cassava Derivative(Garri) in the South West of Nigeria." Applied Computer Science 14, no. 1 (2018): 53-63.

O. Olanloye and E. Oduntan, "Machine learning predictive modeling of the price of cassava derivative(garri) in the South West of Nigeria," Applied Computer Science, vol. 14, no. 1, pp. 53-63, 2018.

Olanloye O, Oduntan E. Machine learning predictive modeling of the price of cassava derivative(garri) in the South West of Nigeria. Applied Computer Science. 2018;14(1):53-63.