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논문 기본 정보

자료유형
학술저널
저자정보
박석호 (농촌진흥청) 박천완 (농촌진흥청) 박종우 (농촌진흥청) 최동수 (농촌진흥청) 김진세 (농촌진흥청) 김용훈 (농촌진흥청) 최승렬 (농촌진흥청) 이수장 (농촌진흥청)
저널정보
한국산업식품공학회 산업식품공학 산업식품공학 제20권 제4호
발행연도
2016.1
수록면
373 - 378 (6page)

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This study was carried out to indirectly predict the storage time limit, hardness, and acidity of Fuji apples in controlled atmosphere (CA) storage. A sensor installed inside the CA storage measured temperature, relative humidity, and gas composition data in real time. The respiration rate from five tons of apples in CA storage was calculated to predict the weight loss rate. As a result, the predicted and actual weight loss rate induced a predictable residual storage time equation that showed a significantly high correlation. The apple storage period showed a high reliability (R2=0.9322) because the predicted equation using respiration rate and number of days stored was about nine months for five tons of apples. Furthermore, the hardness and acidity prediction equation were derived from the quality analysis. However, there was not enough analysis sample correlation (the coefficient was as low as 0.3506 and 0.3144, respectively), but the tendency could be confirmed by reduced hardness and acidity. As a result, these quality prediction equations could encourage CA container distribution, effective for agricultural shipment regulation and increasing the ease of operations.

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