Visual navigation method based on genetic algorithm for agricultural mobile robots

Feng Gao, Yan Li, Mamoru Minami, Yumei Huang

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In order to ensure recognizing crop row automatically with some robustness against noise environment and to confirm its possible intelligence for an agriculture mobile robot working in the fields, a crop row recognition method was presented by using genetic algorithm with surface-strip model to detect the crop row imaged in the gray scale image without any preprocessing. The accuracy and stability of the proposed visual recognition of crop raw with high robustness against noise such as sunlight condition varieties and obstacles were demonstrated by artificial image and real image scanning. The robustness of the method against environmental noises and the effectiveness of the method for real-time recognition have been verified by using real rural images.

Original languageEnglish
Pages (from-to)127-131
Number of pages5
JournalNongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Volume39
Issue number6
Publication statusPublished - Jun 2008
Externally publishedYes

Fingerprint

robots
Mobile robots
Crops
Noise
Navigation
Genetic algorithms
crops
Sunlight
field crops
Agriculture
Intelligence
solar radiation
methodology
agriculture
Scanning

Keywords

  • Agricultural robots
  • Genetic algorithm
  • Model-based matching
  • Visual recognition

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

Cite this

Visual navigation method based on genetic algorithm for agricultural mobile robots. / Gao, Feng; Li, Yan; Minami, Mamoru; Huang, Yumei.

In: Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery, Vol. 39, No. 6, 06.2008, p. 127-131.

Research output: Contribution to journalArticle

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