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Can I read Computational Botany : Methods for Automated Species Identification on EtoBox?

Computational Botany : Methods for Automated Species Identification by Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup is a nonfiction available to read on EtoBox.

What is Computational Botany : Methods for Automated Species Identification about?

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 collabo

Who reads Computational Botany : Methods for Automated Species Identification?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup
Publisher
Springer Berlin Heidelberg Imprint : Springer
Published
2017
Language
EN
ISBN
9783662537435
Category
nonfiction
Subjects
Engineering, Science, Biology

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