• Title/Summary/Keyword: deep flow culture

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The investigation of Appropriate Hydroponic System for Cherry Tomatoes in Summer Season (방울토마토의 여름재배시 적정수경재배방식 구명)

  • 김영식
    • Journal of Bio-Environment Control
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    • v.2 no.1
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    • pp.53-57
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    • 1993
  • This study was carried out to investigate the appropriate hydroponic system when cherry tomatoes were grown in summer. The base diameter of the trunk, leaf length, leaf width, and the length of cluster were good in deep flow culture(DFC), and not different between NFT and rockwool culture. The first time of flowering and the fruit coloring per cluster were not different among cultural systems, but the marketable yields were good in DFC. In DFC, % dry weight, firmness, the content of organic acid and sugar were low, and the ratio of sugar/organic acid and vitamin C were high. So DFC is recommended for the summer cultivation of cherry tomatoes.

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Effects of Culture Type and Inoculation Quantity in Bioreactor on Production of Potato Plantlets

  • Choi Ki Young;Son Sung Ho;Lee Joo Hyun;Lee Yong-Beom;Bae Jong Hyang
    • Journal of Bio-Environment Control
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    • v.14 no.4
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    • pp.298-301
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    • 2005
  • Potato (Solamum tuberosum 'Dejima') plantlets were investigated on culture type and initial quantity of inoculation in bioreactor and survival rate by hydroponics for mass production. rode stems (1 to 1.5cm in length) of potato plantlets multiplied in vitro were grown for 3 weeks in liquid Murashige and Skoog (MS) medium with sucrose $30 g\; L^{-1}$. When plantlets (80-node inoculation) were raised in 10L balloon type bubble (BB) bioreactor, the healthiest growth of plantlets was obtained from explants cultured in ebb & flow culture with medium supplied periodically 12 times per day. The suitable inoculation quantity of 20L BB bioreactor was 120 pieces of stem segments (mean 2.2g fresh weight) in ebb & flow culture. Number of nodal shoot was eight on the average. In controlled culture room, survival rate of plantlets at 7 days after stem cutting was above $70\%$ when they were acclimatized by hydroponics grown in deep flow and solid medium culture. The highest survival rate of the stem cutting plantlets was in nutrient solution adjusted to EC $1.4dS{\cdot}m^{-1}$. Stem cutting plantlets through one culture could be obtained $670\~900$, when plantlets were grown in ebb & flow culture during 3 weeks using a 20L bioreactor with initial 120 pieces of nodal segments. 11 is possible In do mass production of seedlings cultured in bioreactor and hydroponics.

Enhanced Biomass Productivity of Freshwater microalga, Parachlorella kessleri for Fixation of Atmospheric CO2 Using Optimal Culture Conditions (최적 배양 조건을 이용한 CO2 제거 목적의 담수 미세조류 Parachlorella kessleri의 바이오매스 생산성 향상)

  • Z-Hun Kim;Sun Woo Hong;Jinu Kim;Byungrak Son;Mi-Kyung Kim;Yong Hwan Kim;Jin Hyun Seol;Su-Hwan Cheon
    • Journal of Marine Bioscience and Biotechnology
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    • v.16 no.1
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    • pp.36-44
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    • 2024
  • This study attempted to improve the growth of the freshwater microalgae, Parachlorella kessleri, through the sequential optimization of culture conditions. This attempt aimed to enhance the microalgae's ability to fixate atmospheric CO2. Culture temperature and light intensity appropriate for microalgal growth were scanned using a high-throughput photobioreactor system. The supplied air flow rate varied from 0.05 to 0.3 vvm, and its effect on the growth rate of P. kessleri was determined. Next, sodium phosphate buffer was added to the culture medium (BG11) to enhance CO2 fixation by increasing the availability of CO2(HCO3-) in the culture medium. The results indicated that optimal culture temperature and light intensity were 20℃-25℃ and 300 μE/m2/s, respectively. Growth rates of P. kessleri under various air flow rates highly depended on the increase of the culture's flow rate and pH which determines CO2 availability. Adding sodium phosphate buffer to BG11 to maintain a constant neutral pH (7.0) improved microalgal growth compared to control conditions (BG11 without sodium phosphate). These results indicate that the CO2 fixation rate in the air could be enhanced via the sequential optimization of microalgal culture conditions.

Study on the Nutrient Solution Content and Growth of Cherry Tomato in Scoria Culture (제주 송이를 이용한 방울토마토 양액재배시 양액성분 및 생육에 관한 연구)

  • 장전익;오대민;현해남
    • Journal of Bio-Environment Control
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    • v.4 no.1
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    • pp.43-49
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    • 1995
  • The main purpose of these studies were to clarify differences in Cheju - scoria and other solid media on quantity and quality of cherry tomatoes and on shift of component of the nutrient solution, and to use Practically Cheju-scoria as an excellent solid culture medium. The results obtained were summarized as follows ; 1. Among scoria plots, the rates of dry weights, fruits and their sugar-acid ratio were higher in the plot that was drained well with deep flow for one hour once a day. 2. Fresh fruit weights were lighter in rockwool and deep flow technique, but larger in scoria, Hyugashi (artificial gravel, $\Phi$10-12mm) and perlite in moving to higher flower cluster. 3. The results of analysis on microelement among solution components showed decrease of concentrations of P and K in the period of growth and development. 4. Yields and brix of cherry tomato showed a tendency to increase in rockwool and Hyugashi than anothers. 5. The concentration of fertilizer base was increased in general solution culture. Transpiration and absorption were similar in scoria plot and other media. 6. More studies of the Cheju-scoria development is required in order to use it as a solid medium for solution culture.

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A Study on the Facial Expression Recognition using Deep Learning Technique

  • Jeong, Bong Jae;Kang, Min Soo;Jung, Yong Gyu
    • International Journal of Advanced Culture Technology
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    • v.6 no.1
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    • pp.60-67
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    • 2018
  • In this paper, the pattern of extracting the same expression is proposed by using the Android intelligent device to identify the facial expression. The understanding and expression of expression are very important to human computer interaction, and the technology to identify human expressions is very popular. Instead of searching for the symbols that users often use, you can identify facial expressions with a camera, which is a useful technique that can be used now. This thesis puts forward the technology of the third data is available on the website of the set, use the content to improve the infrastructure of the facial expression recognition accuracy, to improve the synthesis of neural network algorithm, making the facial expression recognition model, the user's facial expressions and similar expressions, reached 66%. It doesn't need to search for symbols. If you use the camera to recognize the expression, it will appear symbols immediately. So, this service is the symbols used when people send messages to others, and it can feel a lot of convenience. In countless symbols, there is no need to find symbols, which is an increasing trend in deep learning. So, we need to use more suitable algorithm for expression recognition, and then improve accuracy.

Environmental Control of Nutriculture in a Plant Production System Utilization Solar Energy -Investigation of Actual State of the Nutriculture in Korea- (태양에너지를 이용한 식물(植物) 생산(生産) 시스템내의 양액재배(養液栽培) 환경조절(環境調節)에 관(關)한 연구(硏究) -국내(國內) 양액재배(養液栽培) 실행농가(實行農家)의 실태조사(實態調査)-)

  • Kim, M.K.;Nam, S.W.;Son, J.E.
    • Journal of Biosystems Engineering
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    • v.16 no.2
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    • pp.178-187
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    • 1991
  • In order to provide fundamental data for the achievement of safe environmental condition, investigation of the actual state of the nutriculture practices in Korea was carried out. The result obtained are summarized as follows. 1. Cultivation area of nutriculture was 6 ha and culture types included deep flow technique(43%), nutrient film technique(45%), gravel culture(6%), chaff charcoal culture(3%) and rockwool culture(3%). 2. Greenhouses were mostly made of pentite pipe frames and covered by polyethylene film, and culture beds were handy combination of cement blocks, concrete and styrofoam, which were not standard products. 3. Development of nutriculture system appropriate to our actual circumstances and improvement of establishments are required. 4. Since there was not farmhouse that performs the environmental measurement and environmental conditions of cultivation were very limited. sensor applied environmental control technology of nutriculture should be developed.

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Management of Nutrient Solution Based on $\textrm{NH}_4\textrm{H}_2\textrm{PO}_4$Concentration in Deep Flow Culture of Cherry Tomato (방울토마토 담액재배시 $\textrm{NH}_4\textrm{H}_2\textrm{PO}_4$ 농도에 기초한 배양액 조절)

  • 이문정;김성은;김영식
    • Journal of Bio-Environment Control
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    • v.4 no.2
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    • pp.188-194
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    • 1995
  • This study was carried out to investigate the effect of NH$_4$H$_2$PO$_4$ on pH stabilization in deep flow culture system using tap water, and to determine the optimum range of NH$_4$H$_2$PO$_4$ in culture solution. The pH of tap water is 7.5. The higher the concentration of NH$_4$H$_2$PO$_4$ was, the more the pH of nutrient solution was decreased. In NH$_4$H$_2$PO$_4$ 4/3-5/3 me/$\ell$, the pH of nutrient solution was 6-7.5 during the experiment. The highest brix(%) was obtained in NH$_4$H$_2$PO$_4$ 5/3-6/3 me/$\ell$. Leaf length, leaf width and stem-base diameter were highest in NH$_4$H$_2$PO$_4$ 2/3 me/$\ell$. The L and b* values were highest and the a* value was lowest in NH$_4$H$_2$PO$_4$ 8/3 me/$\ell$. Toxicity symptom of ammonium appeared in NH$_4$H$_2$PO$_4$ 8/3 me/$\ell$. It suggests that there was the relationship between leaf color and growth condition. It was concluded that NH$_4$H$_2$PO$_4$ 2/3 me/$\ell$ was good before harvest stage and NH$_4$H$_2$PO$_4$ 5/3-6/3 me/$\ell$ at harvest stage.

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A Deep Learning Performance Comparison of R and Tensorflow (R과 텐서플로우 딥러닝 성능 비교)

  • Sung-Bong Jang
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.487-494
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    • 2023
  • In this study, performance comparison was performed on R and TensorFlow, which are free deep learning tools. In the experiment, six types of deep neural networks were built using each tool, and the neural networks were trained using the 10-year Korean temperature dataset. The number of nodes in the input layer of the constructed neural network was set to 10, the number of output layers was set to 5, and the hidden layer was set to 5, 10, and 20 to conduct experiments. The dataset includes 3600 temperature data collected from Gangnam-gu, Seoul from March 1, 2013 to March 29, 2023. For performance comparison, the future temperature was predicted for 5 days using the trained neural network, and the root mean square error (RMSE) value was measured using the predicted value and the actual value. Experiment results shows that when there was one hidden layer, the learning error of R was 0.04731176, and TensorFlow was measured at 0.06677193, and when there were two hidden layers, R was measured at 0.04782134 and TensorFlow was measured at 0.05799060. Overall, R was measured to have better performance. We tried to solve the difficulties in tool selection by providing quantitative performance information on the two tools to users who are new to machine learning.

Effects of Hydroponic Systems on Root Environments of Tomato Plant (양액재배(養液栽培) 방법(方法)이 토마토의 근권환경(根圈環境)에 미치는 영향(影響))

  • Park, Kuen-Woo;Lee, Yong-Beom;Bae, Gong-Young
    • Korean Journal of Environmental Agriculture
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    • v.9 no.1
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    • pp.53-59
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    • 1990
  • Root zone environments in hydroponics are very important factors in crop growth, development and quality. In Korea, improvement of root zone temperature is required because of the continental climate. Therefore, this investigation was carried out to clarify the difference of root zone environments in different hydroponic systems under different climates. Tomato plants were grown in nutrient solutions at Seoul City University and Allen Cooper's. Hydroponic systems in this experiment were aeroponics, nutrient film technique(NFT), rockwool culture, sand culture and smoked rice hull culture(SRH). The decrease in temperature rapidly occured in sand culture while slowly in rockwool culture in low air temperature periods. The internal temperature of substrates of hydroponic bed were slightly changed in rockwool culture under high air temperature periods, while the duration of high temperature was longest in NFT. Electrical conductivity and pH of nutrient solution showed great changes in rockwool and aeroponics. Along the bed, the content of dissolved oxygen in nutrient solution had a tendency to decrease in NFT and DFT(Deep flow technique), while didn`t a change with aeroponics. Root activity measured by triphenyl tetrazolium chloride (TTC) was highest with aeroponics, followed by rockwool culture and NFT.

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