• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1992.12a
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• pp.15-16
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• 1992

1. 연구의 필요성 및 목적 필요성 - 기상변화에 따른 수도생육의 예측을 통한 적절한 Crop management - 수도수확량 예측을 통한 계획생산의 가능 - 최적 물관리를 위한 기초자료제공 목적 수도의 생육 및 수확량을 예측 할 수 있는 생리학적(physiological ) 모형인 SIMRIW을 우리의 기후조건과 수도품종에 적용하여 모형의 매개변수를 보정하고, 모형의 적용성을 검사하는데 있다. (중략)

• Korean Journal of Environment and Ecology
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• v.25 no.4
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• pp.590-600
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• 2011

The research was carried out for prediction of the potential habitats of warm-temperate evergreen broad-leaved trees under the current climate(1961~1990) and three climate change scenario(2081~2100) (CCCMA-A2, CSIRO-A2 and HADCM3-A2) using classification tree(CT) model. Presence/absence records of warm-temperate evergreen broad-leaved trees were extracted from actual distribution data as response variables, and four climatic variables (warmth index, WI; minimum temperature of the coldest month, TMC; summer precipitation, PRS; and winter precipitation, PRW) were used as predictor variables. Potential habitats(PH) was predicted 28,230$km^2$ under the current climate and 77,140~89,285$km^2$ under the three climate change scenarios. The PH masked by land use(PHLU) was predicted 8,274$km^2$ and the proportion of PHLU within PH was 29.3% under the current climate. The PH masked by land use(PHLU) was predicted 35,177~45,170$km^2$ and increased 26.9~36.9% under the three climate change scenarios. The expansion of warm-temperate evergreen broad-leaved trees by climate change progressed habitat fragmentation by restriction of land use. The habitats increase of warm-temperate evergreen broad-leaved trees had been expected competitive with warm-temperate deciduous broadleaf forest and suggested the expand and northward shift of warm-temperate evergreen broad-leaved forest zone.

• Journal of Bio-Environment Control
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• v.32 no.1
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• pp.34-39
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• 2023

Growth modeling in plant factories can not only control stable production and yield, but also control environmental conditions by considering the relationship between environmental factors and plant growth rate. In this study, using the expolinear function, we modeled perilla [Perilla frutescens (L.) Britt.] cultivated in a plant factory. Perilla growth was investigated 12 times until flower bud differentiation occurred after planting under light intensity, photoperiod, and the ratio of mixed light conditions of 130 μmol·m^-2·s^-1, 12/12 h, red:green:blue (7:1:2), respectively. Additionally, modeling was performed to predict dry and fresh weights using the expolinear function. Fresh and dry weights were strongly positively correlated (r = 0.996). Except for dry weight, fresh weight showed a high positive correlation with leaf area, followed by plant height, number of leaves, number of nodes, leaf length, and leaf width. When the number of days after transplanting, leaf area, and plant height were used as independent variables for growth prediction, leaf area was found to be an appropriate independent variable for growth prediction. However, additional destructive or non-destructive methods for predicting growth should be considered. In this study, we created a growth model formula to predict perilla growth in plant factories.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.56 no.3
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• pp.233-243
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• 2011

This experiment was conducted to investigate the effect of future climate change on growing period and temperature in different rice maturity types as global warming progressed, where Odaebyeo, Hwaseongbyeo, Ilpumbyeo were used as a representative cultivar of early, medium, and medium-late rice maturity type, respectively, and A1B scenario was applied to weather data for future climate change at 57 sites in Korea. When cropping season was not adjusted to climate change, entire growing period and growing temperature were shorten and risen, respectively, as global warming progressed. On the other side, when cropping season was adjusted to climate change, growing period and temperature after heading date were not changed in contrast to growing period and growing temperature before heading which were more seriously shortened and risen as global warming progressed than in not adjusted cropping season. It is supposed that adjusting cropping season to climate change can alleviate rice yield reduction and quality deterioration to some degree by improving growing temperature condition during grain-filling period, but also still have a limit such as seriously shortened growing period indicating that there need to develope actively new rice cultivation methods and varieties for future climate change.

• Proceedings of the Korean Society of Crop Science Conference
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• 1986.06a
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• pp.30-31
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• 1986

• Korean Journal of Agricultural and Forest Meteorology
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• v.18 no.4
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• pp.253-263
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• 2016

Chrysanthemum production would benefit from crop growth simulations, which would support decision-making in crop management. Chrysanthemum is a typical short day plant of which floral initiation and development is sensitive to photoperiod. We developed a model to predict phenological development and leaf appearance of chrysanthemum (cv. Baekseon) using daylength (including civil twilight period), air temperature, and management options like light interruption and ethylene treatment as predictor variables. Chrysanthemum development stage (DVS) was divided into juvenile (DVS=1.0), juvenile to budding (DVS=1.33), and budding to flowering (DVS=2.0) phases for which different strategies and variables were used to predict the development toward the end of each phenophase. The juvenile phase was assumed to be completed at a certain leaf number which was estimated as 15.5 and increased by ethylene application to the mother plant before cutting and the transplanted plant after cutting. After juvenile phase, development rate (DVR) before budding and flowering were calculated from temperature and day length response functions, and budding and flowering were completed when the integrated DVR reached 1.33 and 2.0, respectively. In addition the model assumed that leaf appearance terminates just before budding. This model predicted budding date, flowering date, and leaf appearance with acceptable accuracy and precision not only for the calibration data set but also for the validation data set which are independent of the calibration data set.

• Journal of Korean Society of Forest Science
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• v.101 no.3
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• pp.509-516
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• 2012

In this research, it was intended to examine the vulnerability of Pinus rigida to climate changes, a major planting species in Korea. For this purpose, the distribution of Pinus rigida and its changes caused by climate changes were estimated based on the 'A1B' climate change scenario suggested by IPCC. Current distribution of Pinus rigida was analyzed by using the $4^{th}$Forest Type Map and its potential distribution in the recent year (2000), the near future (2050) and the further future (2100) were estimated by analyzing the optimized ranges of three climate indices - warmth index(WI), minimum temperature index of the coldest month (MTCI) and precipitation effectiveness index(PEI). The results showed that the estimated potential distribution of Pinus rigida declines to 56% in the near future(2050) and 15% in the further future (2100). This significant decline was found in most provinces in Korea. However, in Kangwon province where the average elevation is higher than other provinces, the area of potential distribution of Pinus rigida increases in the near future and the further future. Also the result indicated that the potential distribution of Pinus rigida migrates to higher elevation. The potential distributions estimated in this research have relatively high accuracy with consideration of classification accuracy (44.75%) and prediction probability (62.56%).

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1054-1056
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• 2011

플라스틱 시설원예는 자본과 시설이 요구되지만 제철이 아닐 때도 생산을 통해 생산자의 소득 증대에 기여하고 이는 생산자가 보다 높은 품질의 작물을 생산하는 유인이 된다. 이를 위해서는 재배되는 작물에 최적화된 생육환경을 제공해줄 필요가 있으며 현재까지의 생장데이터를 이용하여 미래의 생장상태를 예측하고, 부족한 부분을 보완해줄 필요가 있다. 본 논문에서는 토마토를 대상으로 플라스틱 시설원예 환경에서의 예측시스템을 설계한다. 동일한 토마토이지만 품종에 따라 생육환경이나 예측모델이 달라질 수 있으므로 다양한 예측모델이 필요에 따라 로딩되어 사용될 수 있도록 한다.

• Proceedings of the Korean Society of Crop Science Conference
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• 2023.04a
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• pp.24-24
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• 2023

현대화된 재배법은 작물의 생육을 위해 시설내부의 환경을 제어하고 실시간 센싱 정보를 저장하는 시스템을 구축하고 이를 활용하고 있으나, 작물의 생육·생장에 미치는 직접적인 영향에 대한 생육데이터 취득은 아직까지도 전문 재배사·농민이 수작업을 통해 조사되고 있다. 본 연구는 작물의 생육데이터 자동 취득을 위한 장치를 개발하고 이를 실용화하기 위한 정확도 측정 시험을 진행하였다. 실험을 위한 장치구성은 3D Depth 카메라(Intel D415)와 운용 PC이며 딥러닝 모델을 이용하여 작물의 세부기관을 자동으로 인식하는 모델을 포함한다. 장치는 다양한 재배환경의 작물 생육데이터 취득을 위하여 휴대용, 고정형, 로봇형 3가지 유형으로 개발하였고 측정 정확도 검증은 휴대용 생육측정장치를 활용하여 조사하였다. 이러한 연구를 통해 수작업이 아닌 영상에 의한 생육 데이터수집으로 작물의 생육정보(측정값+이미지)를 확보함으로써 환경데이터와 함께 객관적인 정보에 의한 작물의 생산량, 수확시기 등을 예측하는데 활용될 수 있을것으로 예상된다.

• Journal of Bio-Environment Control
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• v.27 no.4
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• pp.424-430
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• 2018

This study was carried out to estimate growth characteristics of hot pepper and to develop predicted models for the production yield based on the growth parameters and climatic elements. Sigmoid regressions for the prediction of growth parameters in terms of fresh and dry weight, plant height, and leaf area were designed with growing degree days (GDD). The biomass and leaf expansion of hot pepper plants were rapidly increased when 1,000 and 941 GDD. The relative growth rate (RGR) of hot pepper based on dry weight was formulated by Gaussian's equation RGR $(dry\;weight)=0.0562+0.0004{\times}DAT-0.00000557{\times}DAT^2$ and the yields of fresh and dry hot pepper at the 112 days after transplanting were estimated 1,387 and 291 kg/10a, respectively. Results indicated that the growth and yield of hot pepper were predicted by potential growth model under plastic tunnel cultivation. Thus, those models need to calibration and validation to estimate the efficacy of prediction yield in hot pepper using supplement a predicting model, which was based on the parameters and climatic elements.