A System for Identifying Entomopathogenic Nematodes
Abstract: High agricultural production is essential for food security. Hence, it is important to increase crop yields while minimizing losses. Insects cause considerable economic losses.Entomopathogenic Nematodes (EPNs) are alternatives to chemical pesticides for controlling insects. For researchers, determining the type of EPNs is not an easy task. Thus, a tool for identifying EPNs species is needed. In this paper, we introduce a method for developing a system to identify EPNs species according to their morphometric traits. We used Web Ontology Language (OWL) to build the ontology of EPNs species and represent their semantic information. Ontology helps in data representation, exchange, and interoperability. The proposed system was implemented as a mobile application that extracts and retrieves EPNs data from ontology. It displays the details of valid Heterorhabditis and Steinernema species.
Also, it enables us to find species that are related to the given infective juveniles (IJs) features. We used techniques of similarity search such as cosine similarity and Euclidean distance to compare different EPNs species and identify similar species based on appearance features. The results indicate that the system can recognize the known EPNs species and it helps to identify similar species.
Publication year 2023
Pages 386-396
Organization Name
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Author(s) from ARC
Publication Type Journal
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