Application of Artificial Neural Networks to Estimate Color Surface Features of Three Maturity Stages of Tomato Based on Dimensions and Weight

Abstract

Aims:The aim of this research was to investigate the effect on application of artificial neutral network (ANN) to estimate the color surface of fruit of three maturity stages of tomatoes based on fruit dimensions (length and width) and weight. Study Design: Simple machine vision system was built to extract color surface features of tomato samples.