Indoor pesticide smart spraying system based on machine vision

Yufeng Ge, Hongping Zhou, Jiaqiang Zheng, Huichun Zhang

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

An indoor-simulation smart pesticide spraying system based on machine-vision was developed. A series of experiments and studies on some crucial problems, such as signal capturing, image segmentation, decision making, data transmitting, and so on, were carried out to predict the feasibility and reliability of the system. In this paper, a segmentation algorithm based on relative color indices was also put forward. Compared to the traditional algorithms, the new one has an equally good segmentation result and greatly shortens segmentation time. The system performed perfectly in the laboratory and is promising to be extended for outdoor application.

Original languageEnglish (US)
Pages (from-to)86-89
Number of pages4
JournalNongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Volume36
Issue number3
StatePublished - Mar 2005
Externally publishedYes

Keywords

  • Machine vision
  • Pesticide spraying technology
  • Precision forestry

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • Mechanical Engineering

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