Computational botany : methods for automated species identification.
Remagnino, Paolo.
2017
QK46.5.E4
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Title Computational botany : methods for automated species identification.
Author Remagnino, Paolo.
ISBN 9783662537459 (electronic book)
3662537451 (electronic book)
3662537435
9783662537435
DOI https://doi.org/10.1007/978-3-662-53745-9
Published [Berlin] : Springer, 2017.
Language English
Description 1 online resource.
Other Standard Identifiers 10.1007/978-3-662-53745-9 doi
Call Number QK46.5.E4
Dewey Decimal Classification 581.0285
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Available in Other Form Print version: 9783662537435
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From the Content
Introduction
Morphometrics: a Brief Review
Feature Extraction
Machine Learning for Plant Leaf Analysis.

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