By Topic

Application of image processing technology for unloading automation of robot combine harvester

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Kurita, H. ; Div. of Environ. Sci. & Technol., Kyoto Univ., Kyoto, Japan ; Iida, M. ; Suguri, M. ; Uchida, R.
more authors

Automation of agricultural work has been expected to solve several problems of Japan's agriculture and help farmers. Now it is becoming a key to keep sustainability of national agricultural production. Thus we are now trying to develop a robot combine harvester. Attempts have been made to develop robot combine harvester. Although a few prototypes can run and automatically harvest rice and wheat, unloading work, in which grains are unloaded through harvester's auger into a grain container on a truck, has not yet been automated. In this paper, a method using machine vision is presented to position the harvester's spout at an appropriate point. Experimental results show that this method has sufficient accuracy.

Published in:

System Integration (SII), 2011 IEEE/SICE International Symposium on

Date of Conference:

20-22 Dec. 2011