A new combined strategy for discrimination between types of weed
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.
| Main Authors: | , , |
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| Format: | capítulo de libro biblioteca |
| Published: |
Springer
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| Subjects: | Monocots/dicots discrimination, Sugeno Fuzzy Integral, Colour segmentation, Hu moments, Weed discrimination, Precision Agriculture, |
| Online Access: | http://hdl.handle.net/10261/110780 |
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