Autoguided computer vision system for row and weed detection [Farmer]

Introduction

Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.^[1]^[2]^[3]

In agriculture computer vision can be used for procedures such as row and weed detection to improve efficacy of everyday agricultural procedures.

Related Scientific Article

Crop rows and weeds detection in maize fields applying a computer vision system based on geometry^[4]

This paper proposes a new machine vision system, focused on crop row detection with three main goals:

to achieve a correct orientation at the starting point in the field for each path;
to achieve a precise guidance during path following and
to determine the weed density and overlapping.

Figure 1. Mobile electrical vehicle with installed vision system

References

[1] Dana H. Ballard; Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 978-0-13-165316-0
[2] Computer Vision : Evolution And Promise (PDF). 19th CERN School of Computing. Geneva: CERN. pp. 21–25. doi:10.5170/CERN-1996-008.21. ISBN 978-9290830955
[3] Image Processing, Analysis, and Machine Vision. Thomson. ISBN 978-0-495-08252-1
[4] José Miguel Guerrero, José Jaime Ruz, Gonzalo Pajares (2017), Crop rows and weeds detection in maize fields applying a computer vision system based on geometry. Computers and Electronics in Agriculture, Volume 142, Part A, Pages 461-472, ISSN 0168-1699.

References

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