Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Development of a Rapeseed Reaping Equipment Attachable to a Conventional Combine (Ill) - Analysis of Principal Factor for Loss Reduction of Rapeseed Mechanical Harvesting -

보통형 콤바인 부착용 유채 예취장치 개발 (III) - 유채 기계 수확 손실 절감을 위한 요인 구명 -

  • Lee, C.K. (National Academy of Agricultural Science, RDA) ;
  • Choi, Y. (National Academy of Agricultural Science, RDA) ;
  • Jun, H.J. (National Academy of Agricultural Science, RDA) ;
  • Lee, S.K. (Dept. of Biological Systems Engineering, Gyeongsang National University) ;
  • Moon, S.D. (Kangwon National University, Dept. of Industrial & Management Engineering) ;
  • Kim, S.S. (Asia technology Co.)
  • Published : 2009.04.25
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Abstract

Field test was conducted to investigate primary factors reducing rapeseed harvesting using a reciprocating cutter-bar of combine. The results showed that the correlation between crop moisture content and yield loss had a U-type, which indicated that the yield reduction increased at too high and too low crop moisture contents. The proper ranges of crop moisture contents were 27${\sim}$35%, 21${\sim}$56%, and 62${\sim}$73% in case of grain, pod and stem, respectively. Crop moisture content was negatively correlated with header loss, but positively correlated with threshing loss. In contrary, stem moisture content showed positive correlations with total loss, threshing loss and separation loss. Working speed was positively correlated with header loss. Total flow rate, pod flow rate and stem flow rate were highly correlated with threshing loss and separation loss. However, grain flow rate did not show any correlation with total loss. According to the principal component analysis, two principal components were derived as components with eigenvalues greater than 1.0. The contribution rates of the first and the second components were 52.7% and 38.9%, which accounted for 91.6% of total variance. As a contributive factor influencing total loss of rapeseed mechanical harvesting, a crop moisture content factor was greater than a crop flow rate factor. The stepwise multiple regression analysis for total loss was conducted using crop moisture content factor, crop flow rate factor and coefficient. However, the model did not show any correlation among independent and dependent factors ($R^2$=0.060).

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References

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