• 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 Agricultural and Forest Meteorology
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• v.20 no.2
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• pp.214-227
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• 2018

An object oriented crop model was developed to perform crop growth simulation taking into account complex interaction between biotic and abiotic factors in an agricultural ecosystem. A set of classes including Atmosphere class, Plant class, Soil class, and Grower class were designed to represent weather, crop, soil, and crop management, respectively. Objects, which are instance of class, were linked to construct an integrated system for crop growth simulation. In a case study, yield of corn and soybean, which was obtained at an experiment farm in Rural Development Administration from 1984 to 1986, were compared with yield simulated using the integrated system. The integrated system had relatively low error rate of corn yield, e.g., <4%, under sole and intercropping conditions. In contrast, the system had a relatively large underestimation error for above ground biomass except for grain compared with those observed for corn and soybean. For example, estimates of biomass of corn leaf and stem was 31% lower than those of observed values. Although the integrated system consisted of simple models, the system was capable of simulating crop yield under an intercropping condition. This result suggested that an existing process-based model would be used to have more realistic simulation of crop growth once it is reengineered to be compatible to the integration system, which merits further studies for crop model improvement and implementation in object oriented paradigm.

• Journal of The Korean Society of Grassland and Forage Science
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• v.41 no.1
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• pp.47-55
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• 2021

The objective of this study was to access the effect of climate and soil factors on alfalfa dry matter yield (DMY) by the contribution through constructing the yield prediction model in a general linear model considering climate and soil physical variables. The processes of constructing the yield prediction model for alfalfa was performed in sequence of data collection of alfalfa yield, meteorological and soil, preparation, statistical analysis, and model construction. The alfalfa yield prediction model used a multiple regression analysis to select the climate variables which are quantitative data and a general linear model considering the selected climate variables and soil physical variables which are qualitative data. As a result, the growth degree days(GDD) and growing days(GD), and the clay content(CC) were selected as the climate and soil physical variables that affect alfalfa DMY, respectively. The contributions of climate and soil factors affecting alfalfa DMY were 32% (GDD, 21%, GD 11%) and 63%, respectively. Therefore, this study indicates that the soil factor more contributes to alfalfa DMY than climate factor. However, for examming the correct contribution, the factors such as other climate and soil factors, and the cultivation technology factors which were not treated in this study should be considered as a factor in the model for future study.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.5
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• pp.82-92
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• 2018

The purpose of this study is to develop a model for the density management of planting sites and an additional model for new planting sites. In the Dongtan New Town of Hwaseong, there are buffer green spaces, with widths between 8m and 15m, between roads and apartment complexes. A total 38 survey plots were set to examine the planting patterns and the density of landscape trees. The Crown Overlapping Index (COI) was developed to assess the level of overcrowding as far as tree growth and development effectively. Pinus strobus recorded the most serious level of overcrowding growth and development. Its average density and average COI were very high at $0.3trees/m^2$ and 35.6%, respectively. There were many areas in which its COI was above 45%. The criteria for density management were set by standardizing the COI into three levels, which were above 45% (Type A), 30~45% (Type B), and under 30% (Type C). A model was proposed to manage poorly growing trees and to develop a model to select and manage trees of similar specification based on the planting patterns. The trees of density management areas were reviewed in terms of tree types and the ease of transplanting to establish an application system for the management plans according to the possibility of transplanting, thinning, and pruning. In new buffer green spaces, the planting density of Pinus strobus was lowered to $0.20{\sim}0.25trees/m^2$, with that of shrubs being reduced to $1.5{\sim}2.0trees/m^2$, leading to a planting design model to cover the lower parts in at least 30~40%.

• Korean Journal of Environment and Ecology
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• v.13 no.1
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• pp.34-48
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• 1999

본 연구는 주요 조경수목에 대한 생장예측모델을 추정하여 적정 식재간격을 산정하기 위해 실시하였다. 조경식재에서 많이 사용되는 9개 수종을 대상으로 수종별 30주 이상씩의 개체를 선정한 후, 상관성이 높은 측정변수 간에 회귀분석을 실시하여 생장예측모델을 추정하였다. 그리고 서울 시내 2개 아파트단지 녹지를 사례연구지로 선정하여 생육상태를 파악하고 모델과 비교하였다. 전체적으로 교목층 위주의 식재로 인해 식재밀도가 과밀하여 수관이 왜곡되고 기형적으로 생장하는 현상이 발생하고 있는 바, 수관중복률과 수관왜곡률을 분석한 결과에 의하면 현재의 식재간격이 매우 조밀한 것으로 밝혀졌다. 결론적으로 시간경과에 따른 주요 조경수종의 규격별 생장예측을 통해 목표년도별 적정 식재간격을 제안하였는데, 목표년도를 식재 후 5년으로 본다면 상록교목은 2.0m, 낙엽교목은 3.0~4.0m, 낙엽아교목은 2.0~2.5m의 식재간격이 적당하고, 식재 후 10년을 목표년도로 한다면 상록교목의 경우 3.0m, 낙엽교목은 4.0~6.0m, 낙엽교목은 2.5~3.0m의 간격을 유지하여야 한다. 한편, 본 연구의 결과와 서울시 조례기준 식재밀도를 비교하였는데, 식재후 5년이 경과한 시점에서는 0.23본/m2, 10년 경과시점에서는 0.12본/m2이 적정 식재밀도로 밝혀져 현재 0.2본/m2으로 정하고 있는 서울시 교목식재 관련 기준은 5년 정도를 목표시점으로 한다면 적절한 수준임을 알 수 있었다. 그러나 식재 후 10년이 경과하면 수관중복률이 25%를 초과하게 되므로 쾌적한 녹지환경을 유지하기 위해 반드시 적절한 관리를 실시해야 할 것으로 판단되었다.

• Journal of Bio-Environment Control
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• v.10 no.3
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• pp.133-140
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• 2001

This study was conducted to develop a nutrient uptake model in cucumnber (Cucumis sativus L. cv. Eunsung Backdadagi) plants for prediction of the amount of nutrients in drainage solution in a closed perlite culture system. Electrical conductivity (EC) of the nutrient solution was adjusted to 1.5, 1.8, 2.1, 2.4, and 2.7 dS. $m^{-1}$ . The amount of nutrient solution absorbed in different EC treatments was not different until the mid stage of growth. However, after the mid growth stage, a high EC treatment resulted in less solution absorption. The absorption rates of K, N $O_3$$^{[-10]}$ -N, Mg, and P increased continuously for a whole growing period in all treatments, while those of Ca decreased slightly. For S, the decrease was significant after th mid stage of growth. although the amounts of absorbed inorganic ions in different EC treatments were not significantly different at the first stage of growth, they were significantly different after the mid stage of growth and decreased slightly at the end of growth stage. Models for predicting the amounts of each inorganic ion absorbed were developed by using EC and the amount of nutrient solution absorbed per unit radiation(mg.M $J^{-1}$), which proved to be practical with a positive correlation at 1 percent probability between the developed model and practical values..

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2001.04b
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• pp.75-76
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• 2001

순환식 펄라이트재배에서 배액 재사용을 위한 양분흡수 모델링을 작성하고자 EC 처리(1.5, 1.8, 2.1, 2.4, 2.7 dSㆍm-1)를 수행하였다. 생육 중기까지 EC 수준에 따른 양액흡수량은 차이가 없었지만 중기 이후 EC가 높을수록 흡수량이 감소되는 경항을 보였다(Fig. 1). NO$_3$-N, P 및 K의 흡수량은 생육기간 동안 처리간 차이를 유지하였는데 N과 K는 생육 중기 이후 일정 수준을 유지하였으나 P는 생육기간 동안 다소 증가되는 경향을 보였다. S의 흡수량은 생육 중기 이후 모든 처리에서 급격한 감소를 보였으며 생육 후기에는 처리간에 차이가 없었다(Fig. 2). 오이의 무기이온 흡수율에서와 같이 흡수량에서도 EC간 차이를 보여 EC를 무기이온 흡수량을 추정하는 요소로 이용할 수 있을 것으로 생각되었다. 무기이온 흡수량은 모든 EC 처리간에 생육 초기에는 차이를 보이지 않았으나 생육중기 이후에는 뚜렷한 차이를 보인 후 생육 후기의 높은 농도에서 그 차이가 다소 감소되는 경향을 보였다. 단위일사량에 따른 양액흡수량과 EC를 주된 변수로 한 오이의 이온 흡수량 예측 회귀식을 작성하였는데 모든 무기이온 흡수량 추정식의 상관계수는 S를 제외한 모든 이온에서 높게 나타났는데 특히 N, P, K 및 Ca에서 높았다. S이온에서의 상관계수는 0.47로 낮게 나타났으나 각 이온들의 회귀식에 대한 상관계수는 모두 1% 수준에서 유의성을 보여 위의 모델식을 순환식 양액재배에서 무기이온 추정식으로 사용이 가능할 것으로 생각되었다(Table 1). 이를 이용한 실측치와의 비교는 신뢰구간 1%내에서 높은 정의상관을 보여 실제적인 적용이 가능할 것으로 생각되었다(Fig 3)..ble 3D)를 바탕으로 MPEG-4 시스템의 특징들을 수용하여 구성되고 BIFS와 일대일로 대응된다. 반면에 XMT-0는 멀티미디어 문서를 웹문서로 표현하는 SMIL 2.0 을 그 기반으로 하였기에 MPEG-4 시스템의 특징보다는 컨텐츠를 저작하는 제작자의 초점에 맞추어 개발된 형태이다. XMT를 이용하여 컨텐츠를 저작하기 위해서는 사용자 인터페이스를 통해 입력되는 저작 정보들을 손쉽게 저장하고 조작할 수 있으며, 또한 XMT 파일 형태로 출력하기 위한 API 가 필요하다. 이에, 본 논문에서는 XMT 형태의 중간 자료형으로의 저장 및 조작을 위하여 XML 에서 표준 인터페이스로 사용하고 있는 DOM(Document Object Model)을 기반으로 하여 XMT 문법에 적합하게 API를 정의하였으며, 또한, XMT 파일을 생성하기 위한 API를 구현하였다. 본 논문에서 제공된 API는 객체기반 제작/편집 도구에 응용되어 다양한 멀티미디어 컨텐츠 제작에 사용되었다.x factorization (NMF), generative topographic mapping (GTM)의 구조와 학습 및 추론알고리즘을소개하고 이를 DNA칩 데이터 분석 평가 대회인 CAMDA-2000과 CAMDA-2001에서 사용된cancer diagnosis 문제와 gene-drug dependency analysis 문제에 적용한 결과를 살펴본다.0$\mu$M이 적당하며, 초기배발달을 유기할 때의 효과적인 cysteamine의 농도는 25~50$\mu$M인 것으로 판단된다.N)A(N)/N을 제시하였다(A(N)=N에 대한 A값). 위의 실험식을 사용하여 헝가리산 Zempleni 시료(15%

• Smart Media Journal
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• v.11 no.4
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• pp.9-18
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• 2022

Recently, research and system using AI is rapidly increasing in various fields. Smart farm using artificial intelligence and information communication technology is also being studied in agriculture. In addition, data-based precision agriculture is being commercialized by convergence various advanced technology such as autonomous driving, satellites, and big data. In Korea, the number of commercialization cases of facility agriculture among smart agriculture is increasing. However, research and investment are being biased in the field of facility agriculture. The gap between research and investment in facility agriculture and open-air agriculture continues to increase. The fields of fruit trees and plant factories have low research and investment. There is a problem that the big data collection and utilization system is insufficient. In this paper, we are proposed the system for determining the fruit tree growth stage using a deep learning-based object detection model. The system was proposed as a hybrid app for use in agricultural sites. In addition, we are implemented an object detection function for the fruit tree growth stage determine.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.66-66
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• 2020

최근 기후변화로 인한 전 세계적인 기온상승이 야기되고 있으며, 농업에 직접적인 영향을 주는 기상학적 및 수문학적 변화가 급격하게 진행되고 있다. 우리나라의 경우 최근 7년 동안 지역별로 극심한 가뭄이 매년 발생하고 있고, 가뭄의 발생 빈도와 강도가 증가하는 추세이다. 특히 밭의 경우 농업용 저수지 등 수리시설물로부터 관개용수를 공급받는 논 작물과 달리 자연 강우를 통해 필요한 용수량을 공급받는 천수답이 대부분이고 관개시설이 부족하기 때문에, 기후변화에 의한 가뭄의 취약성이 높다. 밭작물은 작물의 생육 시기와 기후 환경, 수자원 환경에 민감하고 토양수분을 흡수함으로써 생육하기 때문에 이러한 밭작물의 소비수량 및 관개용수량은 증발산량 뿐만 아니라 토양내 수분의 이동을 고려하여 수분 부족량을 산정해야 한다. 본 연구에서는 미래 기후변화에 의한 밭가뭄 평가를 위하여 밭 작물별 소비수량 및 관개용수량을 추정하기 위한 밭 토양수분 물수지 모형 (Soil Moisture Model)을 구성하였다. 또한 대표농도경로 (Representative Concentration Pathway, RCP) 시나리오 기반의 제5차 결합기후모델상호비교사업 (Coupled Model Intercomparison Project Phase 5, CMIP5)에서 제공하는 RCP 시나리오를 기반으로 한 전지구 기후모델 (General Circulation Model, GCM)의 기후예측결과를 적용함으로써 미래 밭 가뭄 평가를 수행하였다. 과거 기상자료 및 미래 대표농도경로 시나리오와 작물 기초자료를 수집하여 과거 및 미래 작물증발산량을 산정하였으며, 토양수분 물수지 모형에 적용하여 밭작물의 토양수분 변화를 모의하고 기후변화에 따른 작물별/생육시기별 소비수량 및 관개용수량을 추정하였다.

• Journal of Bio-Environment Control
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• v.1 no.1
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• pp.21-27
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• 1992

The effects of different night temperatures and NO$_3$$^{[-10]}$ : NH$_4$$^{+}$ ratios in nutrient solution on the growth and quality of Chinese white cabbage(B. chinensis L. var. chinensis) and Chinese flat cabbage(B. chinensis L. var. rosularis) were studied. The results were summarized as follows. 1. Fresh weight was increased higher in night temperature 15$^{\circ}C$ than 5, 1$0^{\circ}C$, but content of vitamin C and dry weight ratio were increased as night temperature was lower. 2, The growth of Chinese white cabbage and Chinese flat cabbage was bad extremely in NO$_3$$^{[-10]}$ : NH$_4$$^{+}$(0 : 8), and the others were little different 3. In nutrient solution, the higher NO$_3$$^{[-10]}$ -N concentration was, the more content of vitamin C, and the higher NH$_4$$^{+}$-N concentration was, the more dry weight ratio.ratio.