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.
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Format: | capítulo de libro biblioteca |
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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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dig-ica-es-10261-1107802021-07-12T06:50:01Z A new combined strategy for discrimination between types of weed Herrera Caro, Pedro Javier Dorado, José Ribeiro Seijas, Ángela Monocots/dicots discrimination, Sugeno Fuzzy Integral, Colour segmentation, Hu moments Weed discrimination Precision Agriculture 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. RHEA: Robot fleets for highly effective agriculture and forestry management. Tipo proyecto: 7º Programa Marco; FP7-NMP-2009-LARGE-3, Grant Agreement: 245986; Duración: 2010-2014. - GroW: Sistema de inspección terrestre en vehículos autónomos y su aplicación efectiva a la detección de malas hierbas y su control localizado (GroW). Entidad Financiadora: MINECO, PLAN NACIONAL; AGL2011-30442-C02-02 Duración: 2012-2014 Peer Reviewed 2014 2015-02-18T12:26:01Z capítulo de libro http://purl.org/coar/resource_type/c_3248 ROBOT2013: First Iberian Robotics Conference, Advances in Intelligent Systems and Computing 252: 469- 480 (2014) http://hdl.handle.net/10261/110780 10.1007/978-3-319-03413-3_34 open Springer |
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Monocots/dicots discrimination, Sugeno Fuzzy Integral, Colour segmentation, Hu moments Weed discrimination Precision Agriculture Monocots/dicots discrimination, Sugeno Fuzzy Integral, Colour segmentation, Hu moments Weed discrimination Precision Agriculture |
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Monocots/dicots discrimination, Sugeno Fuzzy Integral, Colour segmentation, Hu moments Weed discrimination Precision Agriculture Monocots/dicots discrimination, Sugeno Fuzzy Integral, Colour segmentation, Hu moments Weed discrimination Precision Agriculture Herrera Caro, Pedro Javier Dorado, José Ribeiro Seijas, Ángela A new combined strategy for discrimination between types of weed |
description |
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. |
format |
capítulo de libro |
topic_facet |
Monocots/dicots discrimination, Sugeno Fuzzy Integral, Colour segmentation, Hu moments Weed discrimination Precision Agriculture |
author |
Herrera Caro, Pedro Javier Dorado, José Ribeiro Seijas, Ángela |
author_facet |
Herrera Caro, Pedro Javier Dorado, José Ribeiro Seijas, Ángela |
author_sort |
Herrera Caro, Pedro Javier |
title |
A new combined strategy for discrimination between types of weed |
title_short |
A new combined strategy for discrimination between types of weed |
title_full |
A new combined strategy for discrimination between types of weed |
title_fullStr |
A new combined strategy for discrimination between types of weed |
title_full_unstemmed |
A new combined strategy for discrimination between types of weed |
title_sort |
new combined strategy for discrimination between types of weed |
publisher |
Springer |
url |
http://hdl.handle.net/10261/110780 |
work_keys_str_mv |
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