A Preliminary Study for Constructing a Computational Procedure for Nematodes Identification Based on Morphological Aspects

Nematodes are vermiform animals of long and thin body and slender at the two extremities. They have great economic importance because many are plant parasitic and very difficult to erradicate once established in the soil. A prerequisite to combating their agricultural impact is correct identification of species. We present a preliminary study for constructing a computational procedure for nematode identification (in terms of taxonomic classification) based on morphological aspects of various organs (stylet, ovary, tail, esophagus, etc). The procedure is an artificial intelligent application involving concepts of computer vision and pattern recognition (an automated system that "visually” recognizes nematode's structures).