Plant type classification based on leaves using Fusion based Support Vector Machine

In general, trees and other plants are recognized by their leaves. Many of them are industrial crops that are also used in the production of medicines. The identification of leaves is essential due to the increased automation occurring in both the commercial and medical sectors. Typically, physical or genetic traits are used to identify leaves. However, classifying the many leaf cultivars is becoming more and more complicated due to the large number of morphological variations among them. Since there have been several evolutionary changes over the preceding few decades, there are currently more varieties of a certain leaf type. Thus it takes time to manually sort and identify these leaves. Here in this project three leaves are chosen and their respective features are extracted using Image Processing techniques and the SVM (Support Vector Machine) classifier algorithm is used to categorize the leaves according to their shape, colour, and texture.