Developing A Machine Learning Portal For Predicting Sukuma Wiki Prices

161 pages ID: MGT0085

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Project Details

DepartmentManagement
TypeProject
Pages161
Reference StyleYES
FormatMS Word & PDF
Reference No.MGT0085

Abstract

Agriculture forms the backbone of Kenya's economy contributing 30% of the country's GDP. However, little is known about the prices, supply and demand of fruits and vegetables. Market price information is a very important agricultural concern which can be enhanced by big data and machine learning techniques like predictive analytics. This research work was based on developing an agricultural commodity price prediction application that uses a machine learning model on appropriate data to facilitate commodity price market information. The research investigated the applicability of advanced machin…

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Pages161
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