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Video imaging for real-time performance monitoring of growing-finishing pigs

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Title: Video imaging for real-time performance monitoring of growing-finishing pigs
Author: Love, Jaclyn E.
Department: Department of Animal and Poultry Science
Program: Animal and Poultry Science
Advisor: de Lange, C.F.M.
Abstract: Visual image analysis (VIA) uses aerial-view images of animals to determine body surface dimensions and may be used for real-time monitoring of pig growth. The objectives were to assess the ability of Qscan, a European VIA system, to accurately estimate: (1) live body weight (BW) of individual pigs, and (2) mean BW for groups of pigs. Qscan is not recommended for predicting BW of individual pigs. Differences in accuracy were observed between and within trials. Qscan predicted mean pen BW on average within 2 kg of actual mean pen BW. Overall, video imaging of growing-finishing pigs appears promising for real-time monitoring of growth performance, but further evaluation is required. Future work should focus on improving the automated selection of appropriate images, identifying individual animals and developing specific algorithms to account for gender and genotypic effects on the relationship between body surface area and BW.
Date: 2012-08
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