Computational Botany (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
114
Utgivningsdatum
2016-12-16
Upplaga
1st ed. 2017
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Mayo, Simon / Wilkin, Paul
Illustratör/Fotograf
Bibliographie
Illustrationer
20 Illustrations, color; 18 Illustrations, black and white; VIII, 114 p. 38 illus., 20 illus. in col
Dimensioner
234 x 156 x 8 mm
Vikt
354 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9783662537435

Computational Botany

Methods for Automated Species Identification

av Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup
Inbunden,  Engelska, 2016-12-16
1837
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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 scientists 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 experts 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.
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Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup

Recensioner i media

This book is a laudable outcome of an interdisciplinary research collaboration. it is an important source in the development of highly automated approaches of plant identification. an important contribution for students and researchers in plant science as well as computational botanists. (S. Suresh Ramanan and Anatoliy A. Khapugin, Current Science, Vol. 115 (2), July, 2018) 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)

Innehållsförteckning

From the Content.- Introduction.- Morphometrics: a Brief Review.- Feature Extraction.- Machine Learning for Plant Leaf Analysis.

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