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Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data

Sara Sharifzadeh Orcid Logo, Line H. Clemmensen, Bjarne K. Ersboll, Mabel V. Martinez Vega

2013 20th International Conference on Systems, Signals and Image Processing (IWSSIP)

Swansea University Author: Sara Sharifzadeh Orcid Logo

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DOI (Published version): 10.1109/iwssip.2013.6623437

Published in: 2013 20th International Conference on Systems, Signals and Image Processing (IWSSIP)
ISBN: 978-1-4799-0941-4 978-1-4799-0944-5
ISSN: 2157-8672 2157-8702
Published: IEEE 2013
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URI: https://cronfa.swan.ac.uk/Record/cronfa65615
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first_indexed 2024-04-07T13:22:24Z
last_indexed 2024-04-07T13:22:24Z
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spelling v2 65615 2024-02-09 Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 2024-02-09 SCS Conference Paper/Proceeding/Abstract 2013 20th International Conference on Systems, Signals and Image Processing (IWSSIP) IEEE 978-1-4799-0941-4 978-1-4799-0944-5 2157-8672 2157-8702 10 10 2013 2013-10-10 10.1109/iwssip.2013.6623437 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2024-04-07T14:22:27.9485795 2024-02-09T01:18:39.9629844 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Sara Sharifzadeh 0000-0003-4621-2917 1 Line H. Clemmensen 2 Bjarne K. Ersboll 3 Mabel V. Martinez Vega 4
title Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data
spellingShingle Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data
Sara Sharifzadeh
title_short Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data
title_full Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data
title_fullStr Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data
title_full_unstemmed Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data
title_sort Optimal vision system design for characterization of apples using US/VIS/NIR spectroscopy data
author_id_str_mv a4e15f304398ecee3f28c7faec69c1b0
author_id_fullname_str_mv a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh
author Sara Sharifzadeh
author2 Sara Sharifzadeh
Line H. Clemmensen
Bjarne K. Ersboll
Mabel V. Martinez Vega
format Conference Paper/Proceeding/Abstract
container_title 2013 20th International Conference on Systems, Signals and Image Processing (IWSSIP)
publishDate 2013
institution Swansea University
isbn 978-1-4799-0941-4
978-1-4799-0944-5
issn 2157-8672
2157-8702
doi_str_mv 10.1109/iwssip.2013.6623437
publisher IEEE
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 2013-10-10T14:22:24Z
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score 11.037056

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