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000778459 019__ $$a965904347$$a967861662$$a970782460$$a971047276$$a974650301$$a981111328
000778459 020__ $$a9783662537459$$q(electronic book)
000778459 020__ $$a3662537451$$q(electronic book)
000778459 020__ $$z3662537435
000778459 020__ $$z9783662537435
000778459 0247_ $$a10.1007/978-3-662-53745-9$$2doi
000778459 035__ $$aSP(OCoLC)ocn966205922
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000778459 049__ $$aISEA
000778459 050_4 $$aQK46.5.E4
000778459 08204 $$a581.0285$$223
000778459 1001_ $$aRemagnino, Paolo.
000778459 24510 $$aComputational botany :$$bmethods for automated species identification.
000778459 264_1 $$a[Berlin] :$$bSpringer,$$c2017.
000778459 300__ $$a1 online resource.
000778459 336__ $$atext$$btxt$$2rdacontent
000778459 337__ $$acomputer$$bc$$2rdamedia
000778459 338__ $$aonline resource$$bcr$$2rdacarrier
000778459 347__ $$atext file$$bPDF$$2rda
000778459 504__ $$aIncludes bibliographical references and index.
000778459 5050_ $$aFrom the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.
000778459 506__ $$aAccess limited to authorized users.
000778459 520__ $$aThis 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.
000778459 650_0 $$aPlants$$xIdentification$$xData processing.
000778459 650_0 $$aPlants$$xIdentification$$xMathematical models.
000778459 650_0 $$aLeaves$$xIdentification$$xData processing.
000778459 650_0 $$aLeaves$$xIdentification$$xMathematical models.
000778459 650_0 $$aPlant morphology$$xData processing.
000778459 650_0 $$aBotany$$xData processing.
000778459 650_0 $$aComputational biology.
000778459 650_0 $$aPattern recognition systems.
000778459 77608 $$iPrint version:$$z3662537435$$z9783662537435$$w(OCoLC)959593282
000778459 852__ $$bebk
000778459 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-53745-9$$zOnline Access$$91397441.1
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000778459 980__ $$aEBOOK
000778459 980__ $$aBIB
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000778459 983__ $$aOnline
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