• 제목/요약/키워드: yield

검색결과 22,233건 처리시간 0.04초

소구획 경지에서의 벼 수확량 지도 작성 (Yield Mapping of a Small Sized Paddy Field)

  • 정선옥;박원규;장영창;이동현;박우풍
    • Journal of Biosystems Engineering
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    • 제24권2호
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    • pp.135-144
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    • 1999
  • An yield monitoring system plays a key role in precision farming. An yield monitoring system and a DGPS were implemented to a widely used domestic combine for yield mapping of a small sized paddy field, and yield mapping algorithms were investigated in this study. The yield variation in the 0.1ha rice paddy field was measured by installing a yield flow sensor and a grain moisture sensor at the end of the clean grain elevator discharging grains into a grain tank. Yield map of the test filed was drawn in a point map and a linear interpolated map based on the result of the field test. The size of a unit yield grid in yield mapping was determined based on the combine traveling speed, effective harvesting width and data storing period. It was possible to construct the yield map of a small sized paddy field.

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Performance Evaluation of Barlat's and BBC Yield Criteria based on Directionalities of R-values and Yield Stresses

  • 로얀산;배기현;이창수;박충희;허훈
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2009년도 추계학술대회 논문집
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    • pp.277-280
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    • 2009
  • This paper deals with the performance evaluation of Barlat's and BBC yield criteria by the directional variation prediction of the yield stresses and the R-values. for the evaluation of yield criteria, three kinds of Aluminum alloys and two kinds of steels were selected and their material properties are from Stoughton and Yoon's work. The experimental data required for the parameter evaluation included the uniaxial yield stresses and R-values (width-to-thickness strain ratio in uniaxial tension) measured in rolling direction, diaganol direction and the transverse direction, the equibiaxial yield stress and the R-value of equibiaxial tension. The optimization method, the Downhill Simplex method, was selected for the coefficient identification of Barlat91, Barlat97 and Barlat2000 yield criteria. Yield surface shapes, yield stress and R-value directionalities of Barlat's and BBC yield criteria were investigated and compared with the experimental data. Barlat2000 and BBC yield criteria were extremely qualified for the shape of the yield surface and the directionality of the yield stresses and the R-values.

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기상요인이 맥류수량에 미치는 영향 (Influence of Weather Condition for Grain Yield in Barley)

  • 서형수;이봉호;정근식
    • 한국작물학회지
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    • 제31권3호
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    • pp.318-325
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    • 1986
  • 논보리 수량에 미치는 기상의 영향을 구명하고자 답리작 9개 시험지에서 12개년간 수행한 올보리의 보리쌀 수양성적을 발표하고 이 시기에 조사된 수량구성요소와 기상관측치와의 관계를 검토하였던 바 몇가지 결과를 얻었기에 여기에 보고하는 바이다. 1. 보리쌀 수량은 전작에 비하여 답리작에서 감수되었고 지역간에도 차이가 현저하였으며 경남은 보리 재배에 안전성이 있었다. 2. 보리쌀 수량의 연차간 변리계수는 12.2~42.6%로서 풍ㆍ흉연간의 차이가 현저하였고, 출수기는 풍년이 흉년보다 남부가 중부보다 빨랐으며, 출수기와 수양간에는 부의 유의상관이 존재하여 출수기가 빠른 것이 증수되었다. 3. 풍년은 흉년보다 간장이 긴반면 수장은 짧은 경향이었고 수당입수는 비슷하였으나 천립중은 가벼웠으며 수수와 수량과는 고도의 정의 유의상관이 인정되어 풍ㆍ흉에 관계없이 수수가 $m^2$당 500개 이상이었던 것은 보리쌀이 10a당 250kg 이상 생산되었다. 4. 보리의 수량에 미친 온도는 풍년이 흉년에 비하여 감온성에 영향하는 영양생장기는 고온으로 교대기는 저온으로 경과되었고 감광에 지배되는 생식생장기는 비슷하였으며 월동기간의 온도와 보리 수양간에는 일정한 경향이 없었다. 5. 강우량은 풍년이 흉년보다 파종기는 적었고 유묘기에는 많았으나 월동기간에는 적었다. 4월 상순의 강우량과 논보리 수량과는 부의 유의상관이 있었는데 이 시기에 강우량이 40mm 이상이었던 것은 보리쌀이 10a당 250kg 이하로 생산되어 보리의 수량 결정적인 영향을 하있으며 4월 중순 이후에는 풍년이 흉년보다 다소 많은 경향이었다. 6. 일조시간은 풍년이 흉년보다 파종기에는 길었고 월동기간은 짧았으며 해동후 수확기까지는 긴 상태로 경과하였는데 일조시간이 보리 수량에 미친 영향은 온도 및 강우량보다 명백하지 않았다.

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J2 와 J3 불변량에 기초한 항복함수의 제안과 이방성 판재에의 적용 (Yield Functions Based on the Stress Invariants J2 and J3 and its Application to Anisotropic Sheet Materials)

  • 김영석;눙엔푸반;김진재
    • 소성∙가공
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    • 제31권4호
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    • pp.214-228
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    • 2022
  • The yield criterion, or called yield function, plays an important role in the study of plastic working of a sheet because it governs the plastic deformation properties of the sheet during plastic forming process. In this paper, we propose a novel anisotropic yield function useful for describing the plastic behavior of various anisotropic sheets. The proposed yield function includes the anisotropic version of the second stress invariant J2 and the third stress invariant J3. The anisotropic yield function newly proposed in this study is as follows. F(J2)+ αG(J3)+ βH (J2 × J3) = km The proposed yield function well explains the anisotropic plastic behavior of various sheets by introducing the parameters α and β, and also exhibits both symmetrical and asymmetrical yield surfaces. The parameters included in the proposed model are determined through an optimization algorithm from uniaxial and biaxial experimental data under proportional loading path. In this study, the validity of the proposed anisotropic yield function was verified by comparing the yield surface shape, normalized uniaxial yield stress value, and Lankford's anisotropic coefficient R-value derived with the experimental results. Application for the proposed anisotropic yield function to aluminum sheet shows symmetrical yielding behavior and to pure titanium sheet shows asymmetric yielding behavior, it was shown that the yield curve and yield behavior of various types of sheet materials can be predicted reasonably by using the proposed new yield anisotropic function.

Yield 최대화를 고려한 회로설계 (A Circuit design with Yield Maximization)

  • 김희석;임재석
    • 대한전자공학회논문지
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    • 제22권5호
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    • pp.102-109
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    • 1985
  • 다차원 Monte Carlo방법을 연구하여 새로운 yield 최대화 절차를 연구하였다. 새로 변형된 weight 선택 알고리즘을 MOS FET NAND 게이트에 적용하여 최대 yield추정을 하였다. 또한 본논문의 yield 최대화 절차는 목적함수가 non-convex일때도 적용된다.

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Evaluation of the relationship between growing temperature and grain yield components across years in two japonica rice varieties in Korea

  • Kang, Shingu;Cho, Hyeoun-Suk;Yang, Chang-Ihn;Kim, Jeong-Ju;Kim, Sookjin;Choi, Jongseo;Park, Jeong-hwa;Yang, Woonho
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.354-354
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    • 2017
  • Rice grain yield is determined by crop dry matter production that is sensitive to temperature. Our objective was to determine whether the difference in temperature between years had an impact on the relationship between yield components and grain yield. Field experiments were conducted under machine transplanting cultivation by using yield data of two japonica rice varieties, Odaebyeo (early maturing) and Nampyeong (mid-late maturing), in 2013 to 2016 in Suwon, Korea. Plant height, dry weight, and yield components were examined by analysis of variance, correlation. The milled rice yield of the two varieties were the highest in 2016, however the lowest yields were observed in the different years. In 2016, Odaebyeo produced $0.96t\;ha^{-1}$ greater milled rice yield than in 2015, and Nampyeong produced $1.11t\;ha^{-1}$ greater yield than in 2013. The correlation analysis indicated that spikelet per panicle (R = 0.53) was associated with grain yield of Odaebyeo. In Nampyeong, biomass at heading date (R = 0.74), 1000-grain weight (R = 0.71), spikelet per panicle (R = 0.58), and panicle number per $m^2$ were associated with grain yield. Sink size (spikelet number per $m^2$) of the two varieties responded to accumulative temperature from transplanting to panicle initiation stage. In this experiment, optimal accumulative temperature before panicle initiation has effect on increased spikelet number and/or number of panicle that were mainly responsible for yield difference. Rice production research to increase grain yield should consider all yield components, but increased emphasis on biomass production before heading is also necessary as well as grain ripening conditions.

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J2 와 J3 불변량에 기초한 비대칭 항복함수의 제안(II) (Asymmetric Yield Functions Based on the Stress Invariants J2 and J3(II))

  • 김영석;눙엔푸반;안정배;김진재
    • 소성∙가공
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    • 제31권6호
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    • pp.351-364
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    • 2022
  • The yield criterion, or called yield function, plays an important role in the study of plastic working of a sheet because it governs the plastic deformation properties of the sheet during plastic forming process. In this paper, we propose a modified version of previous anisotropic yield function (Trans. Mater. Process., 31(4) 2022, pp. 214-228) based on J2 and J3 stress invariants. The proposed anisotropic yield model has the 6th-order of stress components. The modified version of the anisotropic yield function in this study is as follows. f(J20,J30) ≡ (J20)3 + α(J30)2 + β(J20)3/2 × (J30) = k6 The proposed anisotropic yield function well explains the anisotropic plastic behavior of various sheets such as aluminum, high strength steel, magnesium alloy sheets etc. by introducing the parameters α and β, and also exhibits both symmetrical and asymmetrical yield surfaces. The parameters included in the proposed model are determined through an optimization algorithm from uniaxial and biaxial experimental data under proportional loading path. In this study, the validity of the proposed anisotropic yield function was verified by comparing the yield surface shape, normalized uniaxial yield stress value, and Lankford's anisotropic coefficient R-value derived with the experimental results. Application for the proposed anisotropic yield function to AA6016-T4 aluminum and DP980 sheets shows symmetrical yielding behavior and to AZ31B magnesium shows asymmetric yielding behavior, it was shown that the yield locus and yielding behavior of various types of sheet materials can be predicted reasonably by using the proposed anisotropic yield function.

유사량산정을 위한 Kalman filter를 이용한 탱크모델 (Tank Model using Kalman Filter for Sediment Yield)

  • 이영화
    • 한국환경과학회지
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    • 제16권12호
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    • pp.1319-1324
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    • 2007
  • A tank model in conjunction with Kalman filter is developed for prediction of sediment yield from an upland watershed in Northwestern Mississippi. The state vector of the system model represents the parameters of the tank model. The initial values of the state vector were estimated by trial and error. The sediment yield of each tank is computed by multiplying the total sediment yield by the sediment yield coefficient. The sediment concentration of the first tank is computed from its storage and the sediment concentration distribution(SCD); the sediment concentration of the next lower tank is obtained by its storage and the sediment infiltration of the upper tank; and so on. The sediment yield computed by the tank model using Kalman filter was in good agreement with the observed sediment yield and was more accurate than the sediment yield computed by the tank model.

Interrelationship of Biological Yield and Harvest Index in Mulberry and Its Association with Shoot Rearing in Silkworm (Bombyx mori L.)

  • Susheelamma, B.N.;Kamble, Chandrakanth;Dandin, S.B.
    • International Journal of Industrial Entomology and Biomaterials
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    • 제4권2호
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    • pp.143-147
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    • 2002
  • Studies on the interrelationship between biological yield and harvest index, and their association with shoot rearing were carried out in 9 promising mulberry genotypes, which indicated significant variations among genotypes. Biological yield had close association with leaf yield components indicating that they are inter-related for higher productivity in mulberry, Biological yield revealed highly significant positive correlation with important leaf yield components. However height of the longest branch showed negative correlation with biological yield. Genotypes with higher biological yield associated with low ratio of stem weight to leaf weight and high Harvest index on dry weight basis are to be selected for shoot rearing. Biological yield recorded on fresh weight basis had less impact on the present study in comparison to dry weight basis.

A Meta-Analysis for the Impact of Transgenic Crop Adoption on Corn and Soybean Yield

  • Lee, Sang-Hoon;Lee, Gyeong-Bo;Hwang, Seon-Woong;Kim, Hye-Jin;Chung, Doug-Young
    • 한국토양비료학회지
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    • 제45권4호
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    • pp.614-621
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    • 2012
  • Although there is a broad dispute over genetically modified foods on safety, the worldwide adoption of transgenic crops is rapidly increasing. The objectives of this study were to identify trends in the effects of transgenic on crop yields and examine the effect of agricultural variables including crop type, biotech trait, tillage system, and yield environment on corn and soybean yield. A meta-analysis from the 34 peer-reviewed scientific literatures was conducted to compare the crop yield between transgenic crops and conventional varieties. Results showed that the yield of transgenic corn and soybean was strongly dependent on growing conditions. Transgenic hybrids had higher yield potential in the low crop yield environments such as high weeds and/or insect infestation, low soil water, and cool temperature conditions, while transgenic crops did not have yield advantages in high yield environments. The results from this study suggest that producers should consider the potential yield environmental conditions and possible yield reductions when producers choose crop hybrids in their fields.