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Undersökning av Systemdesignstrategier och Klassifikationsmetoder för Identifiering av Frukt i Skörderobotar
KTH, School of Industrial Engineering and Management (ITM).
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Evaluation of system design strategies and supervised classification methods for fruit recognition in harvesting robots (English)
Place, publisher, year, edition, pages
2017.
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Engineering and Technology
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URN: urn:nbn:se:kth:diva-217859OAI: oai:DiVA.org:kth-217859DiVA, id: diva2:1158070
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Available from: 2017-11-17 Created: 2017-11-17 Last updated: 2017-11-17Bibliographically approved

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95791dcfd014fc4f703eaa28eb0a0ef46710a9acf27af2bad4882d8d325713ba7ff5e5a912d6015afb1cba66f20d5c1023f3456bbc4ec5401f0a39f42862020c
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CiteExportLink to record
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  • apa
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