Computational botany : methods for automated species identification /: methods for automated species identification. (2017)
- Record Type:
- Book
- Title:
- Computational botany : methods for automated species identification /: methods for automated species identification. (2017)
- Main Title:
- Computational botany : methods for automated species identification
- Further Information:
- Note: Paolo Remagnino, Simon Mayo, Paul Wilkin, James Cope, Don Kirkup.
- Authors:
- Remagnino, Paolo, 1963-
Mayo, S. J
Wilkin, Paul - Contents:
- From the Content -- Introduction -- Morphometrics: a Brief Review -- Feature Extraction -- Machine Learning for Plant Leaf Analysis.
- Publisher Details:
- Berlin : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource
- Subjects:
- 581.0285
Plants -- Identification -- Data processing
Plants -- Identification -- Mathematical models
Leaves -- Identification -- Data processing
Leaves -- Identification -- Mathematical models
Plant morphology -- Data processing
Botany -- Data processing
Computational biology
Pattern recognition systems
SCIENCE -- Life Sciences -- Botany
Botany -- Data processing
Computational biology
Pattern recognition systems
Engineering
Computational Intelligence
Plant Sciences
Computer Imaging, Vision, Pattern Recognition and Graphics
Electronic books
Electronic book - Languages:
- English
- ISBNs:
- 9783662537459
3662537451 - Related ISBNs:
- 3662537435
9783662537435 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.401967
- Ingest File:
- 02_444.xml