Abstract
Currently, the pork industry is incorporating in-line automation with the aim of increasing the slaughtered pork carcass throughput while monitoring quality and safety. In Korea, 21 parameters (such as back-fat thickness and carcass weight) are used for quality grading of pork carcasses. Recently, the VCS2000 system—an automatic meat yield grading machine system—was introduced to enhance grading efficiency and therefore increase pork carcass production. The VCS2000 system is able to predict pork carcass yield based on image analysis. This study also conducted an economic analysis of the system using a cost—benefit analysis. The subsection items of the cost-benefit analysis considered were net present value (NPV), internal rate of return (IRR), and benefit/cost ratio (BC ratio), and each method was verified through sensitivity analysis. For our analysis, the benefits were grouped into three categories: the benefits of reducing labor costs, the benefits of improving meat yield production, and the benefits of reducing pig feed consumption through optimization. The cost-benefit analysis of the system resulted in an NPV of approximately 615.6 million Korean won, an IRR of 13.52%, and a B/C ratio of 1.65.
Funder
Korea Institute for Animal Products Quality Evaluation
Subject
General Veterinary,Animal Science and Zoology
Reference27 articles.
1. 2019 Animal Products Grading Statistical Yearbook;Jang,2020
2. Meat Science;Kang,2018
3. Introduction of automatic grading and classification machine and operation status in Korea;Kim;Food Sci. Anim. Resour. Ind.,2017
4. Nondestructive Estimation of Lean Meat Yield of South Korean Pig
Carcasses Using Machine Vision Technique
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