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Application of the Dempster-Shafer theory to classify monocot and dicot weeds based on geometric shape descriptors

AuthorsHerrera Caro, Pedro Javier CSIC ORCID; Dorado, José CSIC ORCID ; Ribeiro Seijas, Ángela CSIC ORCID
KeywordsPrecision agriculture
DES theory
monocots/dicots discrimination
geometric shape descriptors
Weed types discrimination
Issue Date21-May-2014
PublisherProducción Gráfica Multimedia
CitationSecond International Conference on Robotics and Associated High-Technologies and Equipment for Agriculture and Forestry (RHEA-2014): 149- 156 (2014)
AbstractAn important objective in weed management is the discrimination between monocots and dicots, because these two types of weeds can be controlled more appropriately by specific herbicides. Monocot and dicot weeds differ in morphological characteristics such as the shape of leaves and stems. For this reason, the regions¿ structure belonging to weed classes plays a key role in the proposed discrimination process. Thus six geometric shaped descriptors were used as attributes to describe each isolated region in an image. Based on these attributes, this work established a strategy where the decision was taken by a classifier adapted from the Dempster-Shafer theory. Outdoor field images, taken under varying conditions of lighting, were used to test the proposal performance. This methodology based on distinguishing two types of weeds can be extrapolated to any situation where monocots and dicots are present, e.g. to discriminate between maize, a monocot crop, and dicot weeds.
Appears in Collections:(CAR) Comunicaciones congresos
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