• 한국작물학회:학술대회논문집
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• 한국작물학회 1993년도 추계 학술대회지
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• pp.42-43
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• 1993

• 한국작물학회지
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• 제36권1호
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• pp.85-95
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• 1991

• 한국작물학회:학술대회논문집
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• 한국작물학회 1990년도 춘계 학술대회지
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• pp.6-8
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• 1990

• 한국작물학회:학술대회논문집
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• 한국작물학회 1997년도 추계 학술대회지
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• pp.11-12
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• 1997

• Wind and Structures
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• 제5권2_3_4호
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• pp.127-140
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• 2002

This paper presents some of the results of a project whose aim has been to produce a full simulation model which would determine the efficacy of pesticides for use by both farmers and the bio-chemical industry. The work presented here describes how crop architecture can be mathematically modelled and how the mechanics of pesticide droplet capture can be simulated so that if a wind assisted droplet-trajectory model is assumed then droplet deposition patterns on crop surfaces can be predicted. This achievement, when combined with biological response models, will then enable the efficacy of pesticide use to be predicted.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 추계학술대회
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• pp.54-54
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• 2017

• 한국응용곤충학회지
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• 제61권2호
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• pp.335-347
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• 2022

중국 동북부지역 랴오닝성의 단둥(40°07'N 124°23'E)과 지린성의 궁주링(43°30'N 124°49') 및 룽징(42°46'N 129°26'E)에서 2020년과 2021년 벼 재배기간 중에 성페로몬트랩으로 이화명나방(Chilo suppressalis)(나비목: 포충나방과)의 성충 발생 시기를 조사하였다. 1화기 성충은 5월 중순부터 7월 하순 사이, 2화기 성충은 7월 중순부터 9월 중순 사이에 발생하여 세 지역 모두 연중 2회 성충 발생양상이 뚜렷하게 확인되었다. 위도가 높은 지역에서 발생시기가 더 늦었다. 각 지역에서 관찰된 1화기 발생 시기를 기준으로 발생 시기 모델링을 통해 2화기 발생 시기를 추정하고 관찰된 시기와 비교하였다. 네 개의 선행연구 자료로부터 성충, 알, 유충, 용 발육단계의 온도의존 생명현상(발육속도, 발육완성분포, 생존율, 성충 노화율, 총산란수, 산란완성분포, 성충 생존완성분포) 모델들을 수집하거나 작성하였고, 이들을 선행 연구에 따라 단독으로 사용하거나 혼합하여 곤충 발생 시기 추정 소프트웨어인 PopModel에서 결합하였다. 모델링 결과에서 유충 발육기간이 짧게 관찰된 선행연구 자료를 기반으로 하여 구성된 모형들이 2화기 성충 발생 시기를 더 근접하게 추정하였다. 2021년에는 단둥과 룽징에서 성충 조사 시기에 맞추어 이화명나방에 의한 벼 피해주율의 변화를 조사하였다. 피해주율은 벼 재배기간 중 누적되어 2번의 증가시기가 뚜렷하게 나타났고, 이화명나방의 각 세대 유충에 의해 발생한 것으로 추정되었다.

• 한국작물학회지
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• 제51권4호
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• pp.362-368
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• 2006

A pot experiment was conducted to investigate the effects of soil burial depth on seedling emergences of rice (Oryza sativa) and Echinochloa spp. and to model such effects for mathematical prediction of seedling emergences. When the Gompertz curve was fitted at each soil depth, the parameter C decreased in a logistic form with increasing soil depth, while the parameter M increased in an exponential form and the parameter B appeared to be constant. The Gompertz curve was combined by incorporating the logistic model for the parameter C, the exponential model for the parameter M, and the constant for the parameter B. This combined model well described seedling emergence of rice and Echinochloa species as influenced by soil burial depth and predicted seedling emergence at a given time after sowing and a soil burial depth. Thus, the combined model can be used to simulate seedling emergence of crop sown in different soil depths and weeds present in various soil depths.

• 한국농림기상학회지
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• 제6권2호
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• pp.94-106
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• 2004

Determining those gaps in agricultural and other information to improve agrometeorological analyses for agriculture is a large task. The effective integration of appropriate data systems, including remote sensing systems, with agricultural systems modelling capability is described as a worthy outcome in this endeavour. Data issues, including those associated with data length, quality, maintenance, and archiving remain serious issues to be addressed. The role of remote sensing and geographic information systems in agrometeorology is important and is explored here. The value of simulation models to provide the synthesis for future agrometeorological requirements is further elucidated.

• 한국유기농업학회지
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• 제25권4호
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• pp.805-819
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• 2017

The study was carried out to develop a mathematical model for evaluating the effect of organic fertilizers in organic rice production systems. A function to simulate the nitrogen mineralization process in the paddy soil has been developed and integrated into ORYZA2000 crop growth model. Inorganic nitrogen in the soil was estimated by single exponential models, given temperature and C:N ratio of organic amendments. Data collected from the two-year field experiment were used to evaluate the performance of the model. The revised version of ORYZA2000 provided reasonable estimates of key variables for nitrogen dynamics and crop growth in the organic rice production systems. Coefficient of determination between the measured value and simulated value were 0.6613, 0.8938, and 0.8092, respectively for soil inorganic nitrogen, total dry matter production, and rice yield. This means that the model could be used to quantify nitrogen supplying capacity of organic fertilizers relative to chemical fertilizer. Nitrogen dynamics and rice growth simulated by the model would be useful information to make decision for organic fertilization in organic rice production systems.