New Supervised Approach for Plant Leaves Classification using Artificial Social Bees

Abstract

Life is based on plants, They are the major source of oxygen, food, and medicines. And biology is one of the major research in last years, but scientists don't stop on studying the biological life and understanding different mechanisms in life, they go further by inspiring from it, as organization on bee colony. This last is very impressive, especially in workplace. This work presents a new approach of supervised plant leaves classification using a meta-heuristic algorithm based on social bees. First, the authors used to represent leaves using three different features extracted from images: a fine-scale margin feature histogram, a Centroid Contour Distance Curve shape signature, or an interior texture feature histogram. Then the authors classified vectors by artificial social bees, and they evaluated the classification by its accuracy and error.