Computational Botany

Methods for Automated Species Identification

Authors: Remagnino, P., Mayo, S.J., Wilkin, P., Cope, J., Kirkup, D.

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  • Describes cutting-edge methods for feature extraction, analysis and classification of leaves
  • Discusses machine learning techniques for plant leaf analysis
  • Analyzes the performance of plant scientists carrying out simply leaf recognition tasks
  • Gives new insights into the development of automatic plant identification systems
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eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-662-53745-9
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  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-662-53743-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-662-57156-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

Reviews

“A multidisciplinary domain that indirectly supports information technology (IT) and botanic areas--image analysis modeling and the associated algorithms for implementing automatic systems for plant species identification--is addressed in this book. … The book is very well written, in a clear and well-structured style, and is an excellent recommendation for specialists, experts and students in the field of computational botany.” (Computing Reviews, September, 2017) 


Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-662-53745-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-662-53743-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-662-57156-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Computational Botany
Book Subtitle
Methods for Automated Species Identification
Authors
Copyright
2017
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Germany
eBook ISBN
978-3-662-53745-9
DOI
10.1007/978-3-662-53745-9
Hardcover ISBN
978-3-662-53743-5
Softcover ISBN
978-3-662-57156-9
Edition Number
1
Number of Pages
VIII, 114
Number of Illustrations
18 b/w illustrations, 20 illustrations in colour
Topics