• The KIPS Transactions:PartB
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• v.12B no.1 s.97
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• pp.101-108
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• 2005

Most of the plant models based on L-system or particle systems have focused on visual shape of plant. However, the interaction between the plant and its environment in virtual environment will make the plant more natural in diverse situations so that users will be immersed in system. To this end we structure the plant object organized in an ontology, introduce calculating method of plant growth rate based on juvenile energy.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.621-623
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• 2003

식물의 성장을 모델링 하는데 있어서 기존의 시스템들은 식물의 성장에 대한 환경적인 요소를 고려하기 보다 식물의 모습을 얼마만큼 실제와 비숫하게 렌더링 하느냐에 초점을 맞추고 있다. 그리고 환경적인 요소를 고려한다고 하더라도 자라는 모습을 표현하기 위한 환경적인 요소만을 고려하기 때문에 다양한 환경에서 식물의 성장을 적절히 표현하지 못한다. 이러한 문제점을 해결하기 위해서 본 논문에서는 메시지 방식을 통해 환경적인 요소를 식물에게 전달하고 식물을 composite object로 구분하여 각각의 object들이 하는 역할과 relation을 기반으로 하여 식물이 다양한 환경에서도 논리성과 사실성을 가질 수 있는 모델을 제시 하고자 한다.

• Journal of Korea Soil Environment Society
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• v.1 no.2
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• pp.91-101
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• 1996

In recent years, phytoremediation, the use of plants to detoxify hydrocarbons, has been a promising new area of research, particularly in situ cleanup of large volumes of slightly contaminated soils. There is increasing need for a mathematical model that can be used as a predictive tool prior to actual field implementation of such a relatively new technique. Although a number of models exist for solute-plant interaction in the vegetated zone of soil, most of them have focused on ionic nutrients and some metals. In this study, we developed a mathematical model for simulation of bioremediation of hydrocarbons in soil, associated with plant root systems. The proposed model includes root interactions with soil-water and hydrocarbons in time and space, as well as advective and dispersive transport in unsaturated soil. The developed model considers gas phase diffusion and liquid-gas mass exchanges. For simulation of temporal and spatial changes in root behavior on soil-water and with hydrocarbons, time-specific distribution of root quantity through soil was incorporated into the simulation model. Hydrocarbon absorption and subsequent uptake into roots with water were simulated with empirical equations. In addition, microbial activity in the rhizosphere, a zone of unique interaction between roots and soil microorganisms, was modeled using a biofilm theory. This mathematical model for understanding and predicting fate and transport of compound in plant-aided remediation will assist effective application of plant-aided remediation to field contamination.

• Proceedings of the Korea Society of Design Studies Conference
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• 1995.11a
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• pp.86-87
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• 1995

• Korean Journal of Remote Sensing
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• v.38 no.5_1
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• pp.627-646
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• 2022

Recently, the seriousness of climate change-related problems caused by global warming is growing, and the average temperature is also rising. As a result, it is affecting the environment in which various temperature-sensitive creatures and creatures live, and changes in the ecosystem are also being detected. Seasons are one of the important factors influencing the types, distribution, and growth characteristics of creatures living in the area. Among the most popular and easily recognized plant seasonal phenomena among the indicators of the climate change impact evaluation, the blooming day of flower and the peak day of autumn leaves were modeled. The types of plants used in the modeling were forsythia and cherry trees, which can be seen as representative plants of spring, and maple and ginkgo, which can be seen as representative plants of autumn. Weather data used to perform modeling were temperature, precipitation, and solar radiation observed through the ASOS Observatory of the Korea Meteorological Administration. As satellite data, MODIS NDVI was used for modeling, and it has a correlation coefficient of about -0.2 for the flowering date and 0.3 for the autumn leaves peak date. As the model used, the model was established using multiple regression models, which are linear models, and Random Forest, which are nonlinear models. In addition, the predicted values estimated by each model were expressed as isopleth maps using spatial interpolation techniques to express the trend of plant seasonal changes from 2003 to 2020. It is believed that using NDVI with high spatio-temporal resolution in the future will increase the accuracy of plant phenology modeling.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.939-948
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• 2020

There are many studies to incorporate virtual reality technology into agricultural education. Interest in virtual reality is increasing not only for direct education such as agricultural machinery education but also for indirect education using games. A key technology in virtual reality is to model objects to feel as real as they are. Plants grown on a farm are equally affected by the environment of the farm. Plants also have their independent characteristics. In this paper, we propose a method to model plants in three dimensions in NPC form by reflecting these characteristics. The proposed method implements how individual plants reflect common weather and farm characteristics, and their unique characteristics. Implementation results show that the proposed method is simple but expresses the plants very realistically.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.04a
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• pp.20-20
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• 2019

전 지구적으로 학명이 보고된 식물 종은 약 36만종이다. 그 중 종자를 생산하는 관속식물은 310,422종으로 전체 식물종의 85.7%에 달한다(IUCN, 2018). 그리고 2015년 Primely Forest Organization (PFO)에서는 야생식물의 80%가 산림 내에 서식한다고 밝혔다. 식물이 인류에게 주는 다양한 이로움은 인류의 생존과 복지증진에 막대한 영향을 미친다. 2016년 State Worlds Plants (SWP)에 따르면 인류가 현재까지 이용하는 식물종은 31,128종으로 알려져 있다. 이중 약용으로 17,810종, 식량으로 5,538종을 유용하게 이용하고 있다. 하지만 현재 전 지구적 생물멸종속도는 산업혁명 이전 보다 약 1,000배정도 빠르게 진행이 되고 있다(Science, 2017). 이에 전 지구적 생물다양성보전을 위해 생물다양성 협약, 지구식물보전전략 등이 지속적으로 발효 이행되고 있다. 시드볼트는 이러한 보전전략을 이행하기 위해 적합한 시설이다. 우리나라도 노르웨이와 전 세계적으로 2곳뿐이 없는 시드볼트를 가지게 되었다. 우리의 시드볼트는 전 지구적 재난과 재앙에 대비해 야생식물종자를 안전하게 영구 저장하는 시설이고, 우리나라는 봉화군에 위치한 국립백두대간수목원 내에 200만점 저장 규모로 조성이 되어 있다. 현재 국내 외 수집 수탁종자 48,327점이 안전하게 저장이 되어 있다. 국내 23개 종자관련 기관, 단체, 개인과 카자흐스탄 등 해외 3개국 6개 기관이 야생식물종자의 영구저장을 요청하였다. 앞으로 시드볼트는 통일시대에 대비하여 지구적 야생식물종자 저장의 컨트롤타워 역할과 종자연구의 중심기관으로 발돋움 할 것이다. 이에 따른 목표로 2050년까지 백두대간 글로벌시드볼트(BGSV)는 전세계 식물종의 13%, 40만점을 저장할 것이다. 특히 종자연구부분에서는 현재 종 맞춤형 활력검정시스템개발, 분류군별 장기저장 특성분석, 장기저장 종자수명예측 등을 고도화하여 한반도 야생식물 종자정보 플랫폼 구축, 고대 매장종자 보전 모델링 연구, 지구 종자연구 브릿지 구축 등으로 개발, 발전시킬 것이다.

• Korean Journal of Plant Taxonomy
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• v.37 no.3
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• pp.309-321
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• 2007

Korea national arboretum has worked with the plant taxonomic society of Korea to make the first fully electronic floristic checklist in Korea. The result is an ever-expanding online plant name index containing scientifically authorative, up-to-date information on the approximately 7,000 taxa including cultivars. With 37 contributing taxonomists, KPNI is the largest collaborative research projects ever assembled in Korea. A comprehensive database model for the taxonomic data from literature and other sources is presented, which was devised for the Korea National Plant Index database project (KPNI). Gwangreung database model is based on an approach using entity-relationsip diagram. It encompasses taxa of all ranks, nothotaxa and hybrid formulae, cultivars, full synonymy, basionyms, Korean name, and other nomenclatural information. Ths paper presents an analysis of KPNI work processes and an overview how we are approaching the construction of Gwangreung databaese model. It can help the system engineers of other biological information systems to develop their database based on the accurate and integrative taxonomic database.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 1999.03a
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• pp.18-19
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• 1999