Automatic Classification of Plant Leaves Along With Mean Filtering and Support Vector Machine

There are many different types of fauna and flora in the earth. Vegetation is regarded as the most significant source of life for all living things. When it comes to vegetation, the leaf is considered as the most important component. The leaves must be preserved for agricultural purposes. It's also critical to identify the type of leaf and preserve it so that it may be utilised again in the future. It is quite easy to know the type of leaf without even knowing about vegetation if it is automated. In this paper, an automated Hybrid approach of SVM+BDT (Support Vector Machine with Binary Decision Tree) Leaf classification system is proposed. From the results, it is evident that, the proposed hybrid approach classifies the leaf with 92% accuracy.