Detection of Green and Orange Color Fruits In Outdoor Conditions for Robotic Applications


OZTURK B., Kırcı M., Güneş E. O.

5th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Tianjin, China, 18 - 20 July 2016, pp.565-569 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/agro-geoinformatics.2016.7577641
  • City: Tianjin
  • Country: China
  • Page Numbers: pp.565-569
  • Istanbul Technical University Affiliated: Yes

Abstract

Image processing techniques on digital systems which are used on agriculture can be evaluated for different aims. For instance; detection of wild herb, to estimate product, to determine ripeness and quality are some of them. The most widely used one is detection of fruits-vegetables. Particularly such image processing techniques are needed for robotic applications in agriculture. For example, identify and locating the fruit/vegetable is a major problem for the collection of fruit/vegetable by a robot. In this work, the aim is to determine the locations of orange and green color fruits, to separate from the leaves and branches in the area.