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Computational botany = methods for a...

Remagnino, Paolo.

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Computational botany = methods for automated species identification /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational botany/ by 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.
[NT 15003449]:	From the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.
Contained By:	Springer eBooks
Subject:	Engineering. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-53745-9
ISBN:	9783662537459

Computational botany = methods 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

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

586835
Engineering.

LC Class. No.: Q342

Dewey Class. No.: 570.72

Computational botany = methods 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 586835
650 0 $a Computer graphics. $3 517127
650 0 $a Plant science. $3 3219603
650 0 $a Botany. $3 516217
650 0 $a Computational intelligence. $3 595739
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Plant Sciences. $3 894664
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
700 1 $a Remagnino, Paolo. $3 895902
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-53745-9
950 $a Engineering (Springer-11647)