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Open AccessArticle

On-Barn Pig Weight Estimation Based on Body Measurements by Structure-from-Motion (SfM)

1
Department of Agroforesty and Landscape, University of Padua, 35020 Legnaro, Italy
2
College of Land Science and Technology, China Agricultural University, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(11), 3603; https://doi.org/10.3390/s18113603
Received: 18 September 2018 / Revised: 19 October 2018 / Accepted: 23 October 2018 / Published: 24 October 2018
(This article belongs to the Special Issue Sensors in Agriculture 2018)
Information on the body shape of pigs is a key indicator to monitor their performance and health and to control or predict their market weight. Manual measurements are among the most common ways to obtain an indication of animal growth. However, this approach is laborious and difficult, and it may be stressful for both the pigs and the stockman. The present paper proposes the implementation of a Structure from Motion (SfM) photogrammetry approach as a new tool for on-barn animal reconstruction applications. This is possible also to new software tools allowing automatic estimation of camera parameters during the reconstruction process even without a preliminary calibration phase. An analysis on pig body 3D SfM characterization is here proposed, carried out under different conditions in terms of number of camera poses and animal movements. The work takes advantage of the total reconstructed surface as reference index to quantify the quality of the achieved 3D reconstruction, showing how as much as 80% of the total animal area can be characterized. View Full-Text
Keywords: pig barn; automatic measurement; animal weight; three-dimensional reconstruction; structure from motion pig barn; automatic measurement; animal weight; three-dimensional reconstruction; structure from motion
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MDPI and ACS Style

Pezzuolo, A.; Milani, V.; Zhu, D.; Guo, H.; Guercini, S.; Marinello, F. On-Barn Pig Weight Estimation Based on Body Measurements by Structure-from-Motion (SfM). Sensors 2018, 18, 3603.

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