• The Korean Journal of Pesticide Science
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• v.18 no.4
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• pp.364-375
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• 2014

This study was carried out to investigate the pesticide efficacy and crop safety among different leafy vegetables applied with foliar spraying under greenhouse and to check extrapolating from some trial data to other minor crops. Leafy vegetables used in this study were: lettuce (Lactuca sativar), leaf broccoli (Brassica oleracea.), chicory (Cichorium intybus.), chinese cabbage (Brassica campestris subsp. napus var. pekinensis), radish (Raphanus sativus), rape (Brassica napus), crown daisy (Chrysanthemum coronarium), edible burdock (Arctium lappa), endive (Cichorium endivia) and mustard greens (Brassica jumcea). Based on the result of control efficacy, all crops were classified into the groups. The results showed the probabilities of extrapolating the control value data of minor crop within the same group. It would be possible to use the pesticides which are already been registered for similar crops to those crops have no registered pesticides.

• Solar Energy
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• v.10 no.3
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• pp.27-34
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• 1990

The main objective of this study was to find the relationship between transpiration rate and environmental factors for crops in hydroponic culture within plastic greenhouse by using the computer model developed from the heat balance around leaves of a crop. A computer model was developed and verified through comparison with the experimental results for lettuce in hydroponic culture in a polyethylene film house. The model may be extensively used for the water management and thermal environment study of crops in protected culture, if the supplemented studies for some crops would be accomplished.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2017.11a
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• pp.43-44
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• 2017

• 한국약용작물학회:학술대회논문집
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• 2011.09a
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• pp.388-389
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• 2011

• 한국약용작물학회:학술대회논문집
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• 2011.09a
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• pp.386-387
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• 2011

• Proceedings of the KAIS Fall Conference
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• 2002.05a
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• pp.203-205
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• 2002

본 연구에서는 원예작물의 저장고 내 정확한 품질판정을 위하여 관련된 여러 환경요인들을 일차적으로 센서에서 감지하고 그 정보를 컴퓨터에 자동 입력하여 이러한 환경을 자동으로 관리한 수 있는 시스템의 개발을 목적으로 한다. 또한 측정된 데이터를 언제 어디서나 볼 수 있도록 웹 페이지로 구축하고 인터넷을 통하여 저장고의 상태를 설정을 할 수 있는 원격 시스템을 구현함으로 효율적인 관리를 할 수 있는 시스템을 구성한다. 따라서 신뢰성 있는 센서 제어기를 이용하여 원예작물의 저장환경을 관리할 수 있도록 시스템 하드페어 및 응용 소프트웨어를 구축하여 자동 측정된 데이터의 분석 및 환경을 효율적으로 관리할 수 있는 자동화 시스템을 구성한다.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1995.04a
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• pp.55-56
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• 1995

작물의 생육환경을 계측하기 위한 환경 센서는 공업용으로 이용되는 센서들과는 달리 작물의 적정 생장환경 범위 내에서의 정확도와 안정성이 중요하고, 온실 환경에 대한 내구성 및 신뢰성이 요구되며, 가격이 저렴하고, 소형ㆍ경량화가 이루어져야 한다. 또한, 생장환경 변화로써 작물의 생장량을 증대시킬 수 있도록 하기 위해 생장환경 자료를 수집ㆍ분석할 수 있는 시스템도 필요하다. (중략)

• 한국약용작물학회:학술대회논문집
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• 2009.05a
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• pp.175-176
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• 2009

• Proceedings of the Korean Society of Crop Science Conference
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• 2021.04a
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• pp.55-55
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• 2021

• Journal of Climate Change Research
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• v.6 no.3
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• pp.209-221
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• 2015

Temperature is one of the most important factors affecting crop growth. The diurnal cycle of the scale factor [Tsc] for air temperature and the surface temperature of crop leaf and soil could be estimated by the following equation : $[Tsc]=0.5{\times}sin(X+C)+0.5$. The daily air temperature (E[Ti]) according to the E&E time [X] can be estimated by following equation using average (Tavg), maximum (Tm) and minimum (Tn) temperature : $E[Ti]=Tn+(Tm-Tn){\times}[0.5{\times}sin\;\{X+(9.646Tavg+703.65)\}+0.5]$. The crop leaf temperature in 24th June 2014 was high as the order of red pepper without mulching > red pepper with mulching > soybean under drought > soybean with irrigation > Chinese cabbage. The case in estimating crop leaf surface temperature using air temperature and soil surface temperature was lower in the deviation compared to the case using air temperature for Chinese cabbage and red pepper. These results can be utilized for the crop models as input data with estimation.