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Kafe 바로가기주관연구기관 | 충남대학교 Chungnam National University |
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연구책임자 | 이왕희 |
참여연구자 | 조병관 , 조수현 , Collins Wakholi , 김준태 , 권오태 , 김한기 , 노태균 , 배형진 , 박은성 , 박은수 , 이상준 , Faqeerzada Mohammad Akbar , Kandpal Lalit Mohan , Mukasa Perez , 김세현 , 변대현 , 정재민 , 임종국 , 서영욱 , 조수현 , 이아영 , 김밝금 , Moharnmed Raju Ahmed |
보고서유형 | 최종보고서 |
발행국가 | 대한민국 |
언어 | 한국어 |
발행년월 | 2021-02 |
과제시작연도 | 2020 |
주관부처 | 농촌진흥청 Rural Development Administration(RDA) |
등록번호 | TRKO202100009559 |
과제고유번호 | 1395063055 |
사업명 | FTA대응경쟁력향상기술개발(R&D) |
DB 구축일자 | 2021-09-18 |
키워드 | 소 도체.산육량 측정.품질 측정.품질 평가.비파괴 영상 분석.beef carcass.carcass yield measurement.quality measurement.quality evaluation.nondestructive imaging. |
소도체의 산육량 및 품질을 비파괴적으로 자동으로 측정할 수 있는 기술을 개발하고 이를 탑재한 시스템을 구축함
(출처 : 요약서 3p)
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)
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연구책임자(Manager) : | - |
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총연구비 (DetailSeriesProject) : | - |
키워드(keyword) : | - |
과제수행기간(LeadAgency) : | - |
연구목표(Goal) : | - |
연구내용(Abstract) : | - |
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