Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing

Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital... Digital image processing has the potential to support the identification of plant species required for site-specific weed control in grassland swards. The present study focuses on the identification of one of the most invasive and persistent weed species on European grassland, the broad-leaved dock (Rumex obtusifolius L., R.o.), in complex mixtures of perennial ryegrass with R.o. and other herbs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing

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Publisher
Springer US
Copyright
Copyright © 2006 by Springer Science+Business Media, LLC
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-006-9006-9
Publisher site
See Article on Publisher Site

Abstract

Digital image processing has the potential to support the identification of plant species required for site-specific weed control in grassland swards. The present study focuses on the identification of one of the most invasive and persistent weed species on European grassland, the broad-leaved dock (Rumex obtusifolius L., R.o.), in complex mixtures of perennial ryegrass with R.o. and other herbs.

Journal

Precision AgricultureSpringer Journals

Published: May 16, 2006

References

  • Recent developments in the applications of image processing techniques for food quality evaluation
    Du, C. J.; Sun, D. W.

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