This document discusses the development of a machine vision system to automatically segment plants under different lighting conditions. It extracts 126 features from 6 color spaces and uses a hybrid artificial neural network-differential evolution algorithm to achieve better segmentation performance than other classifiers. Most plant classes were successfully segmented in the third channel of the improved YCbCr color space. The system achieved over 99% accuracy in classifying plant images into 9 different lighting condition categories.