Abstract

A core goal of taxonomy and systematics, entomology, field botany, horticulture, zoology and many agriculture courses involves learning to identify plants and animals. But current syllabi and time constraint allow students to see only a limited amount of taxonomic variability. Usually only experts such as taxonomists and trained technicians can identify taxa accurately because it requires special skills acquired through extensive experience. Taxonomic keys are essential tools for species identification, used by students and professionals. The development of computer-based, multi-media keys provides one means of addressing this critical identification and diagnostic function. Automated species identification (ASI) is a method of making the expertise of taxonomists available to ecologists, parataxonomists and others via digital technology and artificial intelligence. Today, most automated identification systems rely on images depicting the species for the identification. Although computer programs will not replace classical plant identification methods, they have the potential to make these methods more effective.

Highlights

  • Species identification is not exclusively the central to the study of ecology and our job of taxonomists and ecologists

  • Species identification is traditionally based on name of them by their external figures and taxonomic studies which were primarily based shapes’

  • This key is based on the identification of time a choice is made, a number of species are organisms by a process of elimination

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Summary

Original Article

Mitu De1 and Santi Ranjan Dey2* 1Department of Botany, Gurudas College, Kolkata 700054, West Bengal, India; 2Department of Zoology, Rammohan College, Kolkata-700009, West Bengal, India

Introduction
Reference should not be to identify a specimen but to say
Intelligence in toward alleviating the taxonomic impediment
Conclusion
Conference on Innovative Techniques and measurement and identification of honey

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