The successful development of a vision guidance system for agriculture

The successful development of a vision guidance system for agriculture In a project which has lasted 3 years, a vision guidance system has been developed to the stage where commercial availability is imminent. Six prototypes have been field tested by farmers and two more are on trial in the United States. There have been several changes of technology but the fundamental principles have remained consistent. The system derives its guidance signal from a video camera image of the rows of a crop such as cotton. It is relatively insensitive to additional visual ‘noise’ from weeds, while tolerating the fading out of one or more rows in a barren patch of the field. The software integrates data from several crop rows, and tests each row for image quality. Colour components of the image signal can be selected to improve discrimination between crop and detritus. Experimental results are presented showing that the system is capable of maintaining an accuracy of 2 cm. Some farmer responses from the extensive field trials are also included. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers and Electronics in Agriculture Elsevier

The successful development of a vision guidance system for agriculture

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Publisher
Elsevier
Copyright
Copyright © 1997 Elsevier Ltd
ISSN
0168-1699
eISSN
1872-7107
D.O.I.
10.1016/S0168-1699(96)00034-8
Publisher site
See Article on Publisher Site

Abstract

In a project which has lasted 3 years, a vision guidance system has been developed to the stage where commercial availability is imminent. Six prototypes have been field tested by farmers and two more are on trial in the United States. There have been several changes of technology but the fundamental principles have remained consistent. The system derives its guidance signal from a video camera image of the rows of a crop such as cotton. It is relatively insensitive to additional visual ‘noise’ from weeds, while tolerating the fading out of one or more rows in a barren patch of the field. The software integrates data from several crop rows, and tests each row for image quality. Colour components of the image signal can be selected to improve discrimination between crop and detritus. Experimental results are presented showing that the system is capable of maintaining an accuracy of 2 cm. Some farmer responses from the extensive field trials are also included.

Journal

Computers and Electronics in AgricultureElsevier

Published: Jan 1, 1997

References

  • Vision Systems in Agriculture
    Billingsley, J.; Schoenfisch, M.

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