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

Related Articles

APPLICATION OF ACOUSTIC SIGNAL PROCESSING METHODS IN DETECTING DIFFERENCES BETWEEN OPEN AND CLOSED KINEMATIC CHAIN MOVEMENT FOR THE KNEE JOINT

The paper presents results of preliminary research of analysis of signals recorded for open and closed kinematic chain in one volunteer with chon-dromalacia in both knees. The preliminary research was conducted in order...

IT TOOLS SUPPORTING EMPLOYEE MANAGEMENT IN A HIGH-TECH ENTERPRISE

Nowadays, the rapid development of Information Technologies in several fields of socio-economic activity can be observed. High-tech companies develop or implement IT solutions in numerous areas, including employee manage...

MODEL OF A COMPUTER SYSTEM FOR SELECTION OF OPERATING PARAMETERS FOR TRANSPORT VEHICLES IN THE ASPECT OF THEIR DURABILITY

The article presents a new method of selecting operating parameters of ve-hicles which allows to prolong their useful life. The theoretical and practical aspects of the new approach were discussed. The key methods of opt...

FINITE ELEMENT BASED PREDICTION OF DEFORMATION IN SHEET METAL FORMING PROCESS

In this paper the sheet forming process of cylindrical drawpieces was sim-ulated based on the finite element method by the explicit approach in the pres-ence of contact conditions with isotropic and anisotropic friction....

ASYNCHRONOUS INFORMATION DISTRIBUTION AND CLUSTER STATE SYNCHRONIZATION

This article describes issues related to information distribution and cluster state synchronization in decentralized environments with inconsistent net-work topology. The main objective of this study was to create a set...

Download PDF file
  • EP ID EP560750
  • DOI 10.23743/acs-2018-05
  • Views 56
  • Downloads 0

How To Cite

Odunayo OLANLOYE, Esther ODUNTAN (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. https://europub.co.uk./articles/-A-560750