@inproceedings{e1bea5f405ee4f50a4afeeea57b3eb53,
title = "Measuring feed volume and weight with machine vision",
abstract = "Current feed intake monitoring technologies require systems that obstruct the workflow of the farm as well as alter the natural feeding behavior of cow. This research was conducted to examine the use of a machine vision camera with a depth camera sensor to determine the amount of feed volume in a bin. From these volumetric values, a correlation to scale weight could be determined and the volumetric information converted into weight values. These image weight values were then compared to scale-measured weight values of the same feed at different known weight values. The results show that such a machine vision depth camera sensor can be utilized to accurately determine the volume and weight of feed in a scene.",
keywords = "Feed intake, Image analysis, Machine vision, Precision dairy farming, Structured light illumination",
author = "Shelley, \{A. N.\} and Lau, \{D. L.\} and Stone, \{A. E.\} and Bewley, \{J. M.\}",
year = "2015",
language = "English",
series = "Precision Livestock Farming 2015 - Papers Presented at the 7th European Conference on Precision Livestock Farming, ECPLF 2015",
pages = "482--490",
editor = "Marcella Guarino and D. Berckmans",
booktitle = "Precision Livestock Farming 2015 - Papers Presented at the 7th European Conference on Precision Livestock Farming, ECPLF 2015",
note = "7th European Conference on Precision Livestock Farming, ECPLF 2015 ; Conference date: 15-09-2015 Through 18-09-2015",
}