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International Conference on Computer Analysis of Images and Patterns

CAIP 1993: Computer Analysis of Images and Patterns pp 775–779Cite as

Computer image analysis to locate targets for an agricultural robot

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 719))

Abstract

A real-time computer vision system has been implemented on a prototype field robotic harvester. Gray-level image processing algorithm and routines have been developed and integrated into a real-time pipeline system to locate melons in the field. 80% of fruits were successfully detected. Preliminary investigation of applying Infra-Red imaging to detect melons was performed.

This research was supported by Grant No. US-1682-89C from BARD, the United States-Israel Binational Agricultural Research and Development Fund.

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References

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Author information

Authors and Affiliations

  1. Institute of Agricultural Engineering A.R.O., 50250, Bet Dagan, Israel

    Yuri Dobrusin, Yael Edan, Joseph Grinshpun, Uri M. Peiper, Isaac Wolf & Amots Hetzroni

Authors
  1. Yuri Dobrusin
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  2. Yael Edan
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  3. Joseph Grinshpun
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  4. Uri M. Peiper
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  5. Isaac Wolf
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  6. Amots Hetzroni
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Editor information

Dmitry Chetverikov Walter G. Kropatsch

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© 1993 Springer-Verlag Berlin Heidelberg

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Cite this paper

Dobrusin, Y., Edan, Y., Grinshpun, J., Peiper, U.M., Wolf, I., Hetzroni, A. (1993). Computer image analysis to locate targets for an agricultural robot. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_107

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  • DOI: https://doi.org/10.1007/3-540-57233-3_107

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57233-6

  • Online ISBN: 978-3-540-47980-2

  • eBook Packages: Springer Book Archive

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