Crop rows and weeds detection in maize fields applying a computer vision system based on geometry

Crop rows and weeds detection in maize fields applying a computer vision system based on geometry Computers and Electronics in Agriculture 142 (2017) 461–472 Contents lists available at ScienceDirect Computers and Electronics in Agriculture journal homepage: www.elsevier.com/locate/compag Original papers Crop rows and weeds detection in maize fields applying a computer vision MARK system based on geometry a, b a José Miguel Guerrero , José Jaime Ruz , Gonzalo Pajares Dpto. Ingeniería del Software e Inteligencia Artificial, Facultad de Informática, Universidad Complutense de Madrid, 28040 Madrid, Spain Dpto. Arquitectura de Computadores y Automática, Facultad de Informática, Universidad Complutense de Madrid, 28040 Madrid, Spain ARTICLE I NFO ABSTRACT Keywords: This paper proposes a new machine vision system, focused on crop row detection with three main goals: (1) to Machine vision system achieve a correct orientation at the starting point in the field for each path; (2) to achieve a precise guidance Image segmentation during path following and (3) to determine the weed density and overlapping. The vision system is designed to Crop rows detection be installed onboard a mobile agricultural vehicle, i.e. submitted to turns, vibrations and undesired movements. Theil-Sen estimator The images are captured under image perspective projection, being affected by the above undesired effects. To Total least-squares achieve the above goals, we have designed an http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers and Electronics in Agriculture Elsevier

Crop rows and weeds detection in maize fields applying a computer vision system based on geometry

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0168-1699
eISSN
1872-7107
D.O.I.
10.1016/j.compag.2017.09.028
Publisher site
See Article on Publisher Site

Abstract

Computers and Electronics in Agriculture 142 (2017) 461–472 Contents lists available at ScienceDirect Computers and Electronics in Agriculture journal homepage: www.elsevier.com/locate/compag Original papers Crop rows and weeds detection in maize fields applying a computer vision MARK system based on geometry a, b a José Miguel Guerrero , José Jaime Ruz , Gonzalo Pajares Dpto. Ingeniería del Software e Inteligencia Artificial, Facultad de Informática, Universidad Complutense de Madrid, 28040 Madrid, Spain Dpto. Arquitectura de Computadores y Automática, Facultad de Informática, Universidad Complutense de Madrid, 28040 Madrid, Spain ARTICLE I NFO ABSTRACT Keywords: This paper proposes a new machine vision system, focused on crop row detection with three main goals: (1) to Machine vision system achieve a correct orientation at the starting point in the field for each path; (2) to achieve a precise guidance Image segmentation during path following and (3) to determine the weed density and overlapping. The vision system is designed to Crop rows detection be installed onboard a mobile agricultural vehicle, i.e. submitted to turns, vibrations and undesired movements. Theil-Sen estimator The images are captured under image perspective projection, being affected by the above undesired effects. To Total least-squares achieve the above goals, we have designed an

Journal

Computers and Electronics in AgricultureElsevier

Published: Nov 1, 2017

References

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