Estimating pig weight from 2D images

Abstract

This paper presents a new method that utilizes the technologies of image processing and computer vision. Firstly, the projected areas of the pig's image captured directly from top view are computed. Secondly, the heights are obtained from side view. Then the pig's weight is estimated by the projected areas and heights. By comparing with the real weight, the mean relative error is 3.2%. The experiment indicates that this hands-off method has great significance in scientific management of the pig's production which does not require large labor and material resources, and also avoid the loss in production resulted from stress. © 2008 International Federation for Information Processing.