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Computational botanymethods for auto...

Remagnino, Paolo.

Computational botanymethods for automated species identification /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational botanyby Paolo Remagnino ... [et al.].
Reminder of title:	methods for automated species identification /
other author:	Remagnino, Paolo.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2017.
Description:	viii, 114 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Engineering.
Online resource:	http://dx.doi.org/10.1007/978-3-662-53745-9
ISBN:	9783662537459$q(electronic bk.)

Computational botanymethods for automated species identification /
Computational botanymethods for automated species identification /[electronic resource] :by Paolo Remagnino ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - viii, 114 p. :ill., digital ;24 cm.

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

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.

ISBN: 9783662537459$q(electronic bk.)

Standard No.: 10.1007/978-3-662-53745-9doiSubjects--Topical Terms:

210888
Engineering.

LC Class. No.: Q342

Dewey Class. No.: 570.72

Computational botanymethods for automated species identification /
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245 0 0 $a Computational botany $h [electronic resource] : $b methods for automated species identification / $c by Paolo Remagnino ... [et al.].
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2017.
300 $a viii, 114 p. : $b ill., digital ; $c 24 cm.
505 0 $a From the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.
520 $a 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.
650 0 $a Engineering. $3 210888
650 0 $a Computer graphics. $3 182120
650 0 $a Plant science. $3 772218
650 0 $a Botany. $3 188926
650 0 $a Computational intelligence. $3 210824
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Plant Sciences. $3 274177
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
700 1 $a Remagnino, Paolo. $3 253556
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950 $a Engineering (Springer-11647)