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Sensors 2014, 14(8), 15304-15324; doi:10.3390/s140815304
Article

A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method

1,* , 2,*  and 1
Received: 5 March 2014; in revised form: 7 July 2014 / Accepted: 8 August 2014 / Published: 19 August 2014
(This article belongs to the Special Issue Agriculture and Forestry: Sensors, Technologies and Procedures)
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Abstract: An important objective in weed management is the discrimination between grasses (monocots) and broad-leaved weeds (dicots), because these two weed groups can be appropriately controlled by specific herbicides. In fact, efficiency is higher if selective treatment is performed for each type of infestation instead of using a broadcast herbicide on the whole surface. This work proposes a strategy where weeds are characterised by a set of shape descriptors (the seven Hu moments and six geometric shape descriptors). Weeds appear in outdoor field images which display real situations obtained from a RGB camera. Thus, images present a mixture of both weed species under varying conditions of lighting. In the presented approach, four decision-making methods were adapted to use the best shape descriptors as attributes and a choice was taken. This proposal establishes a novel methodology with a high success rate in weed species discrimination.
Keywords: precision agriculture; weed species discrimination; fuzzy decision making strategy; colour segmentation; Hu invariant moments; geometric shape descriptors precision agriculture; weed species discrimination; fuzzy decision making strategy; colour segmentation; Hu invariant moments; geometric shape descriptors
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Herrera, P.J.; Dorado, J.; Ribeiro, Á. A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method. Sensors 2014, 14, 15304-15324.

AMA Style

Herrera PJ, Dorado J, Ribeiro Á. A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method. Sensors. 2014; 14(8):15304-15324.

Chicago/Turabian Style

Herrera, Pedro J.; Dorado, José; Ribeiro, Ángela. 2014. "A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method." Sensors 14, no. 8: 15304-15324.


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