1st Edition

Automated Taxon Identification in Systematics Theory, Approaches and Applications

Edited By Norman MacLeod Copyright 2008
368 Pages
by CRC Press

368 Pages
by CRC Press

368 Pages
by CRC Press

The automated identification of biological objects or groups has been a dream among taxonomists and systematists for centuries. However, progress in designing and implementing practical systems for fully automated taxon identification has been frustratingly slow. Regardless, the dream has never died. Recent developments in computer architectures and innovations in software design have placed the... Read more
Introduction. The Need for Automated Approaches to Species Identification. Is Automated Species Identification Feasible? Natural Object Recognition: Machines Vs. Humans. Homology and Morphometrics: An Old Theme Revisited. Plastic Self-Organizing Maps. Decision Trees: A Machine-learning Methodology to Analyze the Relationship between Skeletal Morphology and Ecological Adaptations. DAISY: A Practical Computer Based Tool for Semi-Automated Species Identification. Introducing SPIDA-web: An Automated Identification System for Biological Species. Automated Extraction and Analysis of Morphological Features for Species Identification. Pattern Recognition for Ecological Science and Environmental Monitoring. Identification of Botanical Taxa using Artificial Neural Networks. Use of Neural Nets in Identification of Spheniscid Species. Drawing the Line: the Differentiation Between Morphological Plasticity and Interspecific Variation. Summary and Prospectus.

Biography

Norman MacLeod