Automated Identification In Systematics

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 an

This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species. Adopting a multidisciplinary approach, it explores the problem of plant species identification, covering both the concepts of taxonomy and morphology. It then provides an overview of morphometrics, including the historical background and the main steps in the morphometric analysis of leaves together with a number of applications. The core of the book focuses on novel diagnostic methods for plant species identification developed from a computer scientist’s perspective. It then concludes with a chapter on the characterization of botanists' visions, which highlights important cognitive aspects that can be implemented in a computer system to more accurately replicate the human expert’s fixation process. The book not only represents an authoritative guide to advanced computational tools for plant identification, but provides experts in botany, computer science and pattern recognition with new ideas and challenges. As such it is expected to foster both closer collaborations and further technological developments in the emerging field of automatic plant identification.

Rice is the most important cereal grown in tropical countries and sapsucking leafhoppers and planthoppers (Homoptera: Auchenorryncha) reduce yields either by direct feeding or by transmitting virus and virus-like pathogens. Effective rice pest management requires the accurate identification of any pest species and this handbook provides keys to identify over 70 leafhopper and planthopper species recorded in the major rice growing regions. All the major pest species are included, as well as others that are frequently found but not yet considered important. A comprehensive account of all these species with descriptions, diagnoses, distributions and notes on biology is given, as well a key to nymphal stages of common Asian species and details of the separation of different instars. An introduction to the morphology and taxonomic grouping of the Auchenorryncha and four pages of colour plates are also included, and the volume is completed by a comprehensive and wide-ranging bibliography.

High-resolution images of phytoplankton cells such as diatoms or desmids, which are useful for monitoring water quality, can now be provided by digital microscopes, facilitating the automated analysis and identification of specimens. Conventional approaches are based on optical microscopy; however, manual image analysis is impractical due to the huge diversity of this group of microalgae and its great morphological plasticity. As such, there is a need for automated recognition techniques for diagnostic tools (e.g. environmental monitoring networks, early warning systems) to improve the management of water resources and decision-making processes. Describing the entire workflow of a bioindicator system, from capture, analysis and identification to the determination of quality indices, this book provides insights into the current state-of-the-art in automatic identification systems in microscopy.

Finalist for 2009 The Council on Botanical & Horticultural Libraries Literature Award!A Fresh Look at Taxonomy The most fundamental of all biological sciences, taxonomy underpins any long term strategies for reconstructing the great tree of life or salvaging as much biodiversity as possible. Yet we are still unable to say with any certainty how