Phenomics (Record no. 44550)

MARC details
000 -LEADER
fixed length control field 02247naaaa2200313uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/56153
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220219212114.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-2-88945-607-9
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9782889456079
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3389/978-2-88945-607-9
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Marcos Egea-Cortines
Relationship auth
245 10 - TITLE STATEMENT
Title Phenomics
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Frontiers Media SA
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (222 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. "Phenomics" is an emerging area of research whose aspiration is the systematic measurement of the physical, physiological and biochemical traits (the phenome) belonging to a given individual or collection of individuals. Non-destructive or minimally invasive techniques allow repeated measurements across time to follow phenotypes as a function of developmental time. These longitudinal traits promise new insights into the ways in which crops respond to their environment including how they are managed. To maximize the benefit, these approaches should ideally be scalable so that large populations in multiple environments can be sampled repeatedly at reasonable cost. Thus, the development and validation of non-contact sensing technologies remains an area of intensive activity that ranges from Remote Sensing of crops within the landscape to high resolution at the subcellular level. Integration of this potentially highly dimensional data and linking it with variation at the genetic level is an ongoing challenge that promises to release the potential of both established and under-exploited crops.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term RGB data
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Multispectral imaging
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term RGB image analysis
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term artificial vision
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Phenomics
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name John Doonan
Relationship auth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://www.frontiersin.org/research-topics/4419/phenomics">https://www.frontiersin.org/research-topics/4419/phenomics</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/56153">https://directory.doabooks.org/handle/20.500.12854/56153</a>
Access status 0
Public note DOAB: description of the publication

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