國立虎尾科技大學 |

Computational botany = methods for automated species identification /

Record Type:	Language materials, printed : 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.;
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:

561152
Engineering.

LC Class. No.: Q342

Dewey Class. No.: 570.72

Computational botany = methods for automated species identification /
LDR:02392nam a2200313 a 4500 001 957898
003 DE-He213
005 20170629154844.0
006 m d
007 cr nn 008maaau
008 201118s2017 gw s 0 eng d
020 $a 9783662537459 $q (electronic bk.)
020 $a 9783662537435 $q (paper)
024 7 $a 10.1007/978-3-662-53745-9 $2 doi
035 $a 978-3-662-53745-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 570.72 $2 23
090 $a Q342 $b .C738 2017
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 : $c 2017. $b Springer Berlin Heidelberg : $b Imprint: Springer,
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 561152
650 0 $a Computer graphics. $3 561602
650 0 $a Plant science. $3 1249732
650 0 $a Botany. $3 599558
650 0 $a Computational intelligence. $3 568984
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Plant Sciences. $3 593902
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
700 1 $a Remagnino, Paolo. $3 669829
710 2 $a SpringerLink (Online service) $3 593884
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)