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

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

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

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Bibliographic Details
Main Authors: Peña, José María, Torres-Sánchez, Jorge, Castro, Ana Isabel de, Serrano Pérez, Angélica, López Granados, Francisca
Other Authors: Ministerio de Economía y Competitividad (España)
Format: comunicación de congreso biblioteca
Language:English
Published: Consejo Superior de Investigaciones Científicas (España) 2014
Subjects:Unmanned aerial vehicle, Object-based image analysis, Precision agriculture, Broad-leaved and grass weeds, Visible and color-infrared images,
Online Access:http://hdl.handle.net/10261/160279
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/501100000780
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Summary: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

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