On-barn pig weight estimation based on body measurements by structure-from-motion (SfM)
Sensors (Switzerland), ISSN: 1424-8220, Vol: 18, Issue: 11
2018
- 63Citations
- 293Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations63
- Citation Indexes63
- 63
- CrossRef48
- Captures293
- Readers293
- 230
- 63
- Mentions1
- Blog Mentions1
- Blog1
Most Recent Blog
Sensors, Vol. 18, Pages 3603: On-Barn Pig Weight Estimation Based on Body Measurements by Structure-from-Motion (SfM)
Sensors, Vol. 18, Pages 3603: On-Barn Pig Weight Estimation Based on Body Measurements by Structure-from-Motion (SfM) Sensors doi: 10.3390/s18113603 Authors: Andrea Pezzuolo Veronica Milani DeHai
Article Description
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.
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