publication . Article . 2014

Support Vector Machine Based Tool for Plant Species Taxonomic Classification

Manimekalai .K; Vijaya.MS;
Open Access
  • Published: 01 Jan 2014 Journal: Journal of Asian Scientific Research, volume 4, issue 4 April, pages 159-173
Abstract
Plant species are living things and are generally categorized in terms of Domain, Kingdom, Phylum, Class, Order, Family, Genus and name of Species in a hierarchical fashion. This paper formulates the taxonomic leaf categorization problem as the hierarchical classification task and provides a suitable solution using a supervised learning technique namely support vector machine. Features are extracted from scanned images of plant leaves and trained using SVM. Only class, order, family of plants and species are considered for hierarchical classification in this research work. The trained models corresponding to class - Magnoliopsida, orders - Brassicales, Rosales, ...
Subjects
ACM Computing Classification System: ComputingMethodologies_GENERAL
free text keywords: Pre-processing, Feature extraction, Hierarchical classification, Multi-class classification, Plant species taxonomy, Support vector machine.
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue