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

Burgos Artizzu, Xavier and Ribeiro Seijas, Ángela and Guijarro, Maria and 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.

Description

Title: Real-time image processing for crop/weed discrimination in maize fields
Author/s:
  • Burgos Artizzu, Xavier
  • Ribeiro Seijas, Ángela
  • Guijarro, Maria
  • Pajares, Gonzalo
Item Type: Article
Título de Revista/Publicación: Computers And Electronics in Agriculture
Date: 2011
ISSN: 01681699
Volume: 75
Subjects:
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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

More information

Item ID: 13898
DC Identifier: http://oa.upm.es/13898/
OAI Identifier: oai:oa.upm.es:13898
DOI: 10.1016/j.compag.2010.12.011
Official URL: http://www.journals.elsevier.com/computers-and-electronics-in-agriculture/
Deposited by: Memoria Investigacion
Deposited on: 20 Dec 2012 18:39
Last Modified: 24 Feb 2017 17:58
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