Real-time image processing for crop/weed discrimination in maize fields

Burgos Artizzu, Xavier; Ribeiro Seijas, Ángela; Guijarro, Maria y Pajares, Gonzalo (2011). Real-time image processing for crop/weed discrimination in maize fields. "Computers And Electronics in Agriculture", v. 75 (n. 2); pp. 337-346. ISSN 01681699. https://doi.org/10.1016/j.compag.2010.12.011.

Descripción

Título: Real-time image processing for crop/weed discrimination in maize fields
Autor/es:
  • Burgos Artizzu, Xavier
  • Ribeiro Seijas, Ángela
  • Guijarro, Maria
  • Pajares, Gonzalo
Tipo de Documento: Artículo
Título de Revista/Publicación: Computers And Electronics in Agriculture
Fecha: 2011
Volumen: 75
Materias:
Escuela: Centro de Automática y Robótica (CAR) UPM-CSIC
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This paper presents a computer vision system that successfully discriminates between weed patches and crop rows under uncontrolled lighting in real-time. The system consists of two independent subsystems, a fast image processing delivering results in real-time (Fast Image Processing, FIP), and a slower and more accurate processing (Robust Crop Row Detection, RCRD) that is used to correct the first subsystem's mistakes. This combination produces a system that achieves very good results under a wide variety of conditions. Tested on several maize videos taken of different fields and during different years, the system successfully detects an average of 95% of weeds and 80% of crops under different illumination, soil humidity and weed/crop growth conditions. Moreover, the system has been shown to produce acceptable results even under very difficult conditions, such as in the presence of dramatic sowing errors or abrupt camera movements. The computer vision system has been developed for integration into a treatment system because the ideal setup for any weed sprayer system would include a tool that could provide information on the weeds and crops present at each point in real-time, while the tractor mounting the spraying bar is moving

Más información

ID de Registro: 13898
Identificador DC: http://oa.upm.es/13898/
Identificador OAI: oai:oa.upm.es:13898
Identificador DOI: 10.1016/j.compag.2010.12.011
URL Oficial: http://www.journals.elsevier.com/computers-and-electronics-in-agriculture/
Depositado por: Memoria Investigacion
Depositado el: 20 Dic 2012 18:39
Ultima Modificación: 24 Feb 2017 17:58
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