A New Combined Strategy for Discrimination between Types of Weed

  • P. Javier Herrera
  • José Dorado
  • Ángela Ribeiro
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 252)


Specific weed management consists on adjusting herbicide treatments depending on the zone infested and the type of weed. In this context, the discrimination between grasses (monocots) and broad-leaved weeds (dicots) is an important objective mainly because the two weed groups can be appropriately controlled by different specific herbicides. This work proposes a method of discrimination between these types of weeds based on a combined strategy, the Sugeno Fuzzy Integral, where the final decision is taken by combining seven attributes, the Hu moments. The main challenge in terms of image analysis is to achieve an appropriate discrimination between both groups in outdoor field images under varying conditions of lighting as well as of soil background texture.


Precision Agriculture weed discrimination monocots/dicots discrimination Sugeno Fuzzy Integral colour segmentation Hu moments 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • P. Javier Herrera
    • 1
  • José Dorado
    • 2
  • Ángela Ribeiro
    • 1
  1. 1.Centre for Automation and RoboticsCSIC-UPMMadridSpain
  2. 2.Institute of Agricultural SciencesCSICMadridSpain

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