Computer-aided system for the selection of sieve diameters to size sort cling peach halves for canning

Abstract

This dissertation reports on a three prong approach to obtain new knowledge on the interdependent effects which buyers' specifications, peach crop attributes and sieve stack arrangement have on the masses of peach halves sorted into classes of average diameter. Applying statistical methods and using suitable application computer programs a computer-aided system was developed to improve on the manual selection of sieve diameters. It was concluded that size sorting peach halves for the purpose of mass classification is inaccurate and counter-productive. It is suggested that modern technology be employed to develop a method to determine peach half masses individually.