Medicinal Plant Leaves Classification By SVM-Ensemble PSO

The recognition and categorization of medicinal plants are essential for their proper utilization and conservation. Recent research has employed computational tools to identify and classify therapeutic plants. PSO is a fact-finding optimization algorithm that draws inspiration from fish and avian social behavior. The data is then processed using SVM ensemble PSO to classify the plants based on their features, leading to better plant management and conservation. An accuracy of 79.31% was achieved in classifying the leaves with 7 plant leaves as least predicted and 12 plant leaves as most predicted from the 30 distinct medicinal plant leaves.