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Title

Comparing visible and color-infrared UAV imagery for early-season weed mapping: The case of maize a wide row crop

AuthorsPeña, José María; Torres-Sánchez, Jorge ; Castro, Ana Isabel de ; Serrano Pérez, Angélica ; López Granados, Francisca
KeywordsUnmanned aerial vehicle
Object-based image analysis
Precision agriculture
Broad-leaved and grass weeds
Visible and color-infrared images
Issue Date2014
PublisherConsejo Superior de Investigaciones Científicas (España)
CitationRHEA-2014. Second International Conference on Robotics and associated High-technologies and Equipment for Agriculture and forestry: new trends in mobile robotics, perception and actuation for agriculture and forestry: 319-327 (2014)
AbstractThis investigation quantified the efficacy of visible and color-infrared images for weed mapping in a maize field by using remote images captured with an unmanned aerial vehicle at several flight altitudes (from 40 to 100 m). Results on weed discrimination were significantly affected by type of image and by type of weed (broad-leaved or grass weeds). With independence on spatial resolution (i.e., flight altitude), weed coverage was underestimated in the visible images, mostly in the parts of the field infested with grass weeds. On the contrary, analysis done with the color-infrared images was highly precise in the images captured at 40-m flight altitude, although progressively overestimated weed coverage at higher altitude.
DescriptionTrabajo presentado en la RHEA-2014 Second International Conference on Robotics and associated High-technologies and Equipment for Agriculture and forestry (New trends in mobile robotics, perception and actuation for agriculture and forestry), celebrada en Madrid del 21 al 23 de mayo de 2014.-- Edited by Pablo Gonzalez-de-Santos and Angela Ribeiro
URIhttp://hdl.handle.net/10261/160279
ISBN978-84-697-0248-2
Appears in Collections:(IAS) Libros y partes de libros
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