초록

소도체의 산육량 및 품질을 비파괴적으로 자동으로 측정할 수 있는 기술을 개발하고 이를 탑재한 시스템을 구축함

(출처 : 요약서 3p)

Abstract ▼

Purpose&Contents
Changes in the market require reliable data for predicting livestock production at the national level, but it is hard to establish the reliable data due to the current quality judgment system. The current grading for carcass yield and quality is manually performed by the judges,

Purpose&Contents
Changes in the market require reliable data for predicting livestock production at the national level, but it is hard to establish the reliable data due to the current quality judgment system. The current grading for carcass yield and quality is manually performed by the judges, causing intensive work loads, and subsequent inconsistency in the grading. Recently, advanced livestock countries have developed a non-destructive technology for measuring carcass yield and quality and attempted to apply it into practical fields. If we develop the technology for measuring carcass yield and quality suitable for the domestic situation and use it in the field, it will be possible to supplement the problems of the current grading system and provide the data necessary for establishing a supply and demand policy reflecting the recent consumption trend. Therefore, the goal of this study is to develop a technology that can measure the yield and quality of beef carcass using non-destructive imaging technology, and implement an automated system that can be used in the field by installing the developed technology.

Results
As technologies that can complement the existing methods, 3-dimensional imaging technology that can measure the shape of a carcass and spectral imaging technology that can objectively and accurately measure meat quality were used in this study. The developed system was capable of moving beef carcasses in online to utilize real-time in the slaughterhouse and automatically performed image acquisition and analysis in less than 10 seconds per carcass. We also developed user friendly interface equipped software which installed in the system to operate it. Through this, it was possible to predict the weight, fat mass and partial meat with high accuracy. In addition, an automatic beef meat quality grading device was developed with the application of hyperspectral imaging analysis. The developed device is portable and capable of evaluating the quality within 30 seconds per carcass with 90% accuracy.

Expected Contribution
Precise and consistent evaluation of carcass yield and quality will be possible and acquisition of numerical data for further livestock related researches can be obtained with the developed system. In addition, it is expected that it will be possible to secure competitiveness of domestic beef production and livestock industries that meets customers’ requirements, and produce beef that satisfies export standards required by foreign countries through objective and consistent evaluation of carcass quantity/quality with reduced amount of works for judges.
Finally, high-value added production in livestock industry will be possible by this system.

(출처 : Summary 5p)

목차 Contents

• 표지 ... 1
• 제출문 ... 2
• 보고서 요약서 ... 3
• 국 문 요 약 문 ... 4
• Summary ... 5
• 목차 ... 6
• 제 1 장 연구 개발 과제의 개요 ... 7
• 제 1 절 연구 개발 목적 ... 7
• 제 2 절 연구 개발의 필요성 ... 8
• 제 3 절 연구 개발 범위 ... 10
• 제 2 장 연구 수행 내용 및 결과 ... 11
• 제 3 장 목표달성도 및 관련분야 기여도 ... 162
• 제 1 절 목표대비 달성도 ... 162
• 제 2 절 정량적 성과 ... 163
• 제 4 장 연구 결과의 활용 계획 ... 164
• 제 1 절 연구개발 결과의 활용 계획 ... 164
• 제 2 절 연구개발 결과의 기대성과 및 파급효과 ... 164
• 제 3 절 추가 진행 중인 연구 성과 및 계획 ... 165
• 제 5 장 연구 개발 결과의 보안 등급 ... 166
• 제 6 장 연구시설·장비종합정보시스템에 등록한 연구시설·장비 현황 ... 166
• 제 7 장 연구개발과제의 대표적 연구실적 ... 166
• 제 8 장 기타사항 ... 167
• 제 9 장 참고문헌 ... 168
• 끝페이지 ... 173