Live weight estimation of growing-finishing hybrid pigs using captured image surface area

Date

6-2016

Degree

Bachelor of Science in Agriculture

Major Course

Major in Animal Science

College

College of Veterinary Medicine (CVM)

Adviser/Committee Chair

Elpidio M. Agbisit Jr.

Abstract

Digital image analysis is an indirect way to measure the body weight of the animal. The objectives of the study were to determine the correlation between body weight and Captured Image Surface Area (CISA) involving one-dimensional, two-dimensional, and three-dimensional images of the hybrid pigs at 50.1-60.0, 60.1-70.0, 70.1-80.0 and 80.1-90.0 kilograms to determine the correlation between body weight and body measurements to establish the linear regression formula that can best predict the body weight of the animal and to provide substantial information that could help develop weighing techniques using imagery. Mid girth showed the highest r values for the 50.1-60.0, 60.1-70.0, and 70.1-80.0 kilograms? weight range with values of 0.762, 0.457 and 0.361, respectively. On the other hand, body length showed the highest correlation for the 80.1-90.0 kilograms? weight range with r value of 0.581. In using Captured Image Surface Area (CISA), the one-dimensional images showed very low to moderate correlation the two-dimensional images showed moderate to strong correlation and the three-dimensional images showed moderate to very strong correlation. Hind-top-side view showed the highest correlation for the weight ranges of 50.1-60.0, 70.1-80.0 and 80.1-90.0 kilogram animals with r value of 0.816, 0.879, and 0.882, respectively. Front-top-side view showed the highest correlation for the weight range of 60.1-70.0 kilogram animals with r value of 0.752. The use of image analysis shows good potential in estimating the live weight of the animals. However, further studies should define the best fixed angle, standard camera settings, and development of better software that could help give a more accurate and precise measure of the CISA for the technology to be applied in the field.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Call Number

LG 993.5 2016 A3 /M32

Document Type

Thesis

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