No Cover Image

Journal article 101 views

A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy

Mabel V Martínez Vega, Sara Sharifzadeh Orcid Logo, Dvoralai Wulfsohn, Thomas Skov, Line Harder Clemmensen, Torben B Toldam‐Andersen

Journal of the Science of Food and Agriculture, Volume: 93, Issue: 15, Pages: 3710 - 3719

Swansea University Author: Sara Sharifzadeh Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1002/jsfa.6207

Published in: Journal of the Science of Food and Agriculture
ISSN: 0022-5142 1097-0010
Published: Wiley 2013
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa65613
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2024-04-07T13:10:01Z
last_indexed 2024-04-07T13:10:01Z
id cronfa65613
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>65613</id><entry>2024-02-09</entry><title>A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy</title><swanseaauthors><author><sid>a4e15f304398ecee3f28c7faec69c1b0</sid><ORCID>0000-0003-4621-2917</ORCID><firstname>Sara</firstname><surname>Sharifzadeh</surname><name>Sara Sharifzadeh</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-02-09</date><deptcode>SCS</deptcode><abstract/><type>Journal Article</type><journal>Journal of the Science of Food and Agriculture</journal><volume>93</volume><journalNumber>15</journalNumber><paginationStart>3710</paginationStart><paginationEnd>3719</paginationEnd><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0022-5142</issnPrint><issnElectronic>1097-0010</issnElectronic><keywords>Malus domestica; SSC; representative sample; training set formation; variability</keywords><publishedDay>1</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2013</publishedYear><publishedDate>2013-12-01</publishedDate><doi>10.1002/jsfa.6207</doi><url/><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2024-04-07T14:10:15.1635115</lastEdited><Created>2024-02-09T01:18:05.3700452</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Mabel V Martínez</firstname><surname>Vega</surname><order>1</order></author><author><firstname>Sara</firstname><surname>Sharifzadeh</surname><orcid>0000-0003-4621-2917</orcid><order>2</order></author><author><firstname>Dvoralai</firstname><surname>Wulfsohn</surname><order>3</order></author><author><firstname>Thomas</firstname><surname>Skov</surname><order>4</order></author><author><firstname>Line Harder</firstname><surname>Clemmensen</surname><order>5</order></author><author><firstname>Torben B</firstname><surname>Toldam‐Andersen</surname><order>6</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling v2 65613 2024-02-09 A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 2024-02-09 SCS Journal Article Journal of the Science of Food and Agriculture 93 15 3710 3719 Wiley 0022-5142 1097-0010 Malus domestica; SSC; representative sample; training set formation; variability 1 12 2013 2013-12-01 10.1002/jsfa.6207 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2024-04-07T14:10:15.1635115 2024-02-09T01:18:05.3700452 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Mabel V Martínez Vega 1 Sara Sharifzadeh 0000-0003-4621-2917 2 Dvoralai Wulfsohn 3 Thomas Skov 4 Line Harder Clemmensen 5 Torben B Toldam‐Andersen 6
title A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy
spellingShingle A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy
Sara Sharifzadeh
title_short A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy
title_full A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy
title_fullStr A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy
title_full_unstemmed A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy
title_sort A sampling approach for predicting the eating quality of apples using visible–near infrared spectroscopy
author_id_str_mv a4e15f304398ecee3f28c7faec69c1b0
author_id_fullname_str_mv a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh
author Sara Sharifzadeh
author2 Mabel V Martínez Vega
Sara Sharifzadeh
Dvoralai Wulfsohn
Thomas Skov
Line Harder Clemmensen
Torben B Toldam‐Andersen
format Journal article
container_title Journal of the Science of Food and Agriculture
container_volume 93
container_issue 15
container_start_page 3710
publishDate 2013
institution Swansea University
issn 0022-5142
1097-0010
doi_str_mv 10.1002/jsfa.6207
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2013-12-01T14:10:11Z
_version_ 1795681589001191424
score 11.016235

Similar Items