Prediction of Sugar Yield From Sugar Cane using Process Modeling

Description

Download Prediction of Sugar Yield From Sugar Cane using Process Modeling. Agricultural and Bioresources Engineering students who are writing their projects can get this material to aid their research work.

Abstract

A study was undertaken to developed a model that will be used to predict sugar and the by-products from sugar cane.

The model developed from MATLAB was used to predict the sugar, bagasse, filter cake and molasses yield from sugar cane.

The predicted values from the model were compared to yield data obtained from the production of sugar cane from the Savannah Sugar Company, Numan, Nigeria for 90 days.

The analysis of variance (ANOVA) at p ≤ 0.01 was used to determine if there were significant difference in the yield predicted by the model and the measured factory yield. The F-LSD at p ≤

0.01 was used to separate the means. The model is validated where there was no significant difference between its predicted yield and the factory-obtained yield.

Introduction

Sugar, particularly edible sugar is a global item found in the recipes and menus of the diets consumed in almost every home.

It is a major product of sugarcane processing. Sugar cane contributes well about 100% of all the sugar manufactured in Nigeria.

However, sugar can also be manufactured in other parts of the world from other plants such as sugar beets (Atiku, 1999).

Industrial cultivation and processing of raw and refined sugar in Nigeria is currently being undertaken by Savannah sugar company, Numan; Bacita sugar company (now Josepdam Sugar Company), Dangote and Bua refineries in Apapa Lagos.

These companies import raw sugar and manufacture white sugar from it to complement the requirements demanded by the Nigeria populace.

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