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Classification of crops and weeds extracted by active shape models
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
2008 (English)In: Biosystems Engineering, ISSN 1537-5110, E-ISSN 1537-5129, Vol. 100, no 4, p. 484-497Article in journal (Refereed) Published
Abstract [en]

Active shape models (ASMs) for the extraction and classification of crops using real field images were investigated. Three sets of images of crop rows with sugar beet plants around the first true leaf stage were used. The data sets contained 276, 322 and 534 samples, equally distributed over crops and weeds. The weed populations varied between the data sets resulting in from 19% to 53% of occluded crops. Three ASMs were constructed using different training images and different description levels. The models managed to correctly extract up to 83% of the crop pixels and remove up to 83% of the occluding weed pixels. Classification features were calculated from the shapes of extracted crops and weeds and presented to a k-NN classifier. The classification results for the ASM-extracted plants were compared to classification results for manually extracted plants. It was judged that 81–87% of all plants extracted by ASM were classified correctly. This corresponded with 85–92% for manually extracted plants.

Place, publisher, year, edition, pages
New York: Elsevier, 2008. Vol. 100, no 4, p. 484-497
Keywords [en]
Classification, Weeds, Crops, Active shape models
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-2005DOI: 10.1016/j.biosystemseng.2008.05.003ISI: 000258971600004Scopus ID: 2-s2.0-47149115270Local ID: 2082/2400OAI: oai:DiVA.org:hh-2005DiVA, id: diva2:239223
Available from: 2008-10-06 Created: 2008-10-06 Last updated: 2018-03-23Bibliographically approved

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Persson, MariaÅstrand, Björn

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf