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Título: | Comparing visible and color-infrared UAV imagery for early-season weed mapping: The case of maize a wide row crop |
Autor: | Peña, José María; Torres-Sánchez, Jorge CSIC ORCID; Castro, Ana Isabel de CSIC ORCID; Serrano Pérez, Angélica CSIC; López Granados, Francisca CSIC ORCID | Palabras clave: | Unmanned aerial vehicles Object-based image analysis Precision agriculture Broad-leaved and grass weeds Visible and color-infrared images |
Fecha de publicación: | 2014 | Editor: | Consejo Superior de Investigaciones Científicas (España) | Citación: | 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: 319-327 (2014) | Resumen: | This 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. | Descripción: | Trabajo 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 | URI: | http://hdl.handle.net/10261/160279 | ISBN: | 978-84-697-0248-2 |
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color-infrared_UAV.pdf | 925,01 kB | Adobe PDF | Visualizar/Abrir |
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