• Journal of Applied Biological Chemistry
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• v.55 no.1
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• pp.47-53
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• 2012

Increasing concerns over green farming technology, plant growth promoting rhizobacterium (PGRP) having growth promoting as well as plant disease suppressing properties was recently preferred to use for biological control of plant pathogens infecting plant. We measured the influence of the selected microbial consortium agents-a mixture of PGPR strains-, commercial bio-fungicide, and chemical pesticides on soil microbial community in red pepper field. The activities of soil enzyme such as dehydrogenase, urease, phosphatase, ${\beta}$-glucosidase, and cellulase were analyzed to investigate that of soil microbial community. We also measured plant length, main stem, stem diameter, number of branches and yields of red-pepper in order to observe the red pepper growth promotion. The results of measuring enzyme activities were dehydrogenase 3.5584 ${\mu}g$ TPF $g^{-1}h^{-1}$, urease 15.8689 ${\mu}g$ $NH_4{^-}N$ $g^{-1}h^{-1}$, phosphatase 0.5692 ${\mu}g$ PNP $g^{-1}h^{-1}$, ${\beta}$-glucosidase 2.4785 ${\mu}g$ PNP $g^{-1}h^{-1}$, and cellulase 86.1597 ${\mu}g$ glucose $g^{-1}h^{-1}$ in the soil treated with the microbial consortium agents, so it came out to be very active in the soil. Observing the growth of red-peppers, the main-stem length and the stem diameter were 6.1% and 8.1% higher in the soil treated with the selected microbial consortium agent than the chemical pesticides. After harvesting, yields were 7.3% higher in the soil treated with selected microbial consortium agents than the chemical pesticides. These results showed that microbial consortium agents contribute to increasing soil microbial diversity, growth promoting, and yield of red pepper.

• Korean Journal of Heritage: History & Science
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• v.53 no.4
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• pp.188-197
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• 2020

Termites play an important role as decomposers of the forest ecosystem, while simultaneously causing enormous damage to wooden structures. Currently, two species of subterranean termites have been reported in Korea, and termite damage to historical wooden buildings is occurring nationwide due to climate change, forest fertility, and the locational characteristics of historical wooden buildings. Subterranean termites make their nests underground or inside timber. Termites move underground and access wooden structures through the lower parts of the buildings, adjacent to the ground. Once termites attack the wooden structures, it not only spoils the authenticity of cultural heritage structure, but also hampers structural stability due to the decrease in the strength of the material. Therefore, it is important to prevent termite damage before it occurs. Chemical treatments are mainly used in Korea to control and prevent the damage. In foreign countries, physical barriers are also used to prevent entry to wooden buildings, along with chemical treatments. Physical barriers involve installing nets or particles that termites cannot pass through in the lower part of the building, around the pipes, and between the edges of the building or exterior walls and interior materials. Advantages of a physical barrier are that it is an eco-friendly method, maintains long-term effect after installation, and does not require the use of chemical treatments. Prior to applying physical barriers, studies into the characteristics of termite species must be undertaken. In this study, we evaluated the minimum passage size that each caste of Reticulitermes speratus kyushuensis can move through. We found that workers, soldiers, and secondary reproductive termites were able to pass through diameters of 0.7mm, 0.9mm, and 1.1mm respectively. Head height of termites was an important factor in determining the minimum passing size. Results from the current study will be used as a basis to design the mesh size for physical barriers to prevent damage by termites in historical wooden buildings in Korea.

• Korean Chemical Engineering Research
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• v.50 no.5
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• pp.795-801
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• 2012

Nanoparticles have received significant attention because of their unusual characteristics including high surface area to volume ratios. Thiol ligand have been used as stabilizers of metal nanoparticles since Brust et al. They reported the preparation method of ligand capped metal nanoparticles by protecting the nanoparticles with a self-assembled monolayer of dodecanethiolate. In this method, volatile organic compounds (VOCs) were used as sovents. This study was carried out to replace these VOCs with room temperature ionic liquids (RTILs). We used two type of ILs to prepare metal nanoparticles. One is a hydrophobic IL, [BMIM][[$PF_6$] (1-Butyl-3-methylimidazolium hexafluorophosphate) purchased from IL maker, C-Tri from Korea and the other one is a hydrophilic one, [BMIM][Cl] (1-Buthy-3-methylimdazolium chloride) sinthesized by us. In the case of preparing Ag and Au nanoparticles using [BMIM][Cl], we didn't use phase transition reagents and ethanol because it has hydrophilic property and preparing Au, Ag nanoparticles using [BMIM][[$PF_6$] the method is as same as Brust et al.'s except using [BMIM][[$PF_6$] instead of organic solvent because it has hydrophobic property. FT-IR and UV-vis, TEM, TGA analysis have been used in an attempt to determine the particle size and verify functional groups. The particle size obtained from TEM was very similar to those obtained by Brust et al. This is a clear example of ligand capped metal nanoparticles prepared using ionic liquids. And the experimental result demonstrated ionic liquids can act as a highly effective medium for the preparation and stabilization of gold and silver metal nanoparticles.

• Korean Journal of Soil Science and Fertilizer
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• v.42 no.3
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• pp.192-200
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• 2009

Soil testing is one of the best management practices for sustainable agriculture. Recently, as increasing soil testing needs, simplification of soil analytical procedure has been required. To determine recommendable multi-element extractant, the soil testing results of available phosphate and exchangeable cations between the conventional methods (Lancaster and 1M $NH_4OAc) and multi-element extraction methods such as Mehlich III, Modified Morgan and Kelowna methods were compared. There were highly significant correlation between the conventional methods and multi-element extraction methods (Mehlich III, Modified Morgan and Kelowna) for available phosphate and exchangeable K, Ca, Mg and Na. The coefficients of determination ($R^2) between available phosphate extracted by Lancaster method and multielement extraction methods were in the order of Mehlich III ($0.979^{***}$) > Kelowna ($0.977^{***}$) > Modified(Mod.). Morgan ($0.553^{***}$). For exchangeable cations, there were highly significant correlations between 1M $NH_4OAc method and Mehlich III, Mod. Morgan and Kelowna. However, exchangeable K, Ca and Mg by Mehlich III method were more highly correlated with conventional method than other methods. Therefore, Mehlich III extraction method could be recommended as a single extractant for simultaneous measurement using ICP in the analysis of avaliable phosphate and exchangeable cations.

• Korean Journal of Organic Agriculture
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• v.19 no.2
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• pp.229-243
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• 2011

Consumers' interest and government's support for the fruits rapidly increased organic fruit productions. This study was examined to compare the soil physicochemical and microbial properties of orchards soil in conventionally and organically management systems. Organic cultivation had lower soil bulk density, solid phase, and penetration resistance than the conventional cultivation. Soil pH and organic matter contents increased from March to August, and the values were greater in the organic cultivation than the conventional cultivation. Total nitrogen (N) and phosphorous concentrations decreased from March to August, and the organic soils had greater N but lower phosphorous concentrations than the conventional soils. Soil microbial carbon biomass increased 36% and 15% for organic and conventional cultivations, respectively, from March to August. Soil microbial N biomass was greater in June than March or August, and the organic cultivation had a greater biomass N compared to the conventional cultivation. Soil dehydrogenase and chitinase activities were greater in June than in March or August. ${\beta}$-glucosidase activity declined in both cultivations, while the phosphatase activity increased. Organic cultivation had greater enzyme activities in March, June, and August, except for the acid phosphatase activity in June.

• The Korean Journal of Pesticide Science
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• v.15 no.3
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• pp.323-328
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• 2011

Control efficacies of mixing of powdery mildew biofungicides with other control agents against major or fungal diseases of cucumber were investigated. Control efficacies against cucumber powdery mildew were quite different according to the kinds of biofungicides applied but those of powdery mildew biofungicides were increased by mixing application of two biofungicides. More than 80% of control efficacies on powdery and downy mildews of cucumber were obtained by mixing application of a powdery mildew biofungicide Bacillus subtilis KB-401 and a downy mildew chemical fungicide dimethomorph. Similarly, control efficacies on powdery and downy mildews of cucumber were 95% and 70% by mixing application of a powdery mildew biofungicide Bacillus subtilis KB-401 and cooking oils and yolk mixture, respectively.

• Proceedings of the Korean Society of Organic Agriculture Conference
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• 2009.12a
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• pp.288-288
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• 2009

WTO가 진행되고 한미 FTA 협상타결로 농업농촌이 어려움을 격고 있으며 EU, 중국, 인도 등과의 FTA 협상도 검토되고 있다. 또한 소득수준 향상으로 소비자들이 웰빙 건강식품에 대한 관심이 고조되면서 이제는 농산물의 안전성과 기능성, 맛 등이 우수한 고품질 안전농산물 생산이 농업의 핵심과제로 대두되고 있다. 이와 같이 급변하는 농업여건에 대응해 나가기 위해서는 농업정책의 최우선과제인 친환경농업에 적극 동참하여 안전하고 우수한 농산물을 생산해야 할 것이다. 잎들깨의 재배에 있어 주생산 요소의 한 가지는 영양생장을 잘 조절해야 하고 기비보다는 추비에 보다 많은 기술이 요구되고 있다. 이에 본 연구의 목적은 잎들깨 추비시용에 있어 화학비료를 대체 유기질 비료를 이용하여 추비수준별 생육 및 수량성을 구명 하는데 있다. 재배방법은 재식거리는 10 cm${\times}$7cm(137,500주/10a) 로 하였으며 기비는 유기질비료(N-P-K=3.2:4.2:1.1)를 N량 기준으로 5.2kg/10a 을 시용하였다. 추비시용 처리는 10a당 N 0kg, N1.2kg, N1.5kg, N 1.8kg 등 4처리를 두었으며, 추비는 유기질 비료 (N-P-K=4.0-2.0-1.5)를 N 기준으로 생육에 따라 매회 수확 후에 시용 하였으며, 시용 방법에 있어 관수는 1 회 급여시 유기질 비료를 10a당 물 5톤에 희석하여 총 5회를 주었으며 관수방법은 점적호스를 이용하여 저면 관수 하였다. 재배기간 중 10a당 T-N 시용량은 N 0kg 재배는 5.2kg, N 1.2kg 재배는 11.2kg, N 1.5kg재배는 12.7kg, N 1.8kg재배는 14.2kg을 시용하였다. 재배 후 처리별 N 흡수량은 N 1.8kg구 33.1kg, N 1.5kg구 30.0kg, N 1.2kg구 25.7kg, N 0kg구 18.1kg순으로 나타났다. 생육은 초장, 경경, 엽장, 엽폭, 엽중은 추비 시용량이 높을수록 향상되었고, 마디수 발생은 추비 수준 간 변동이 없었다. 병해충 발생정도는 병은 시들음병, 역병, 노균병 순으로 발생하였고, 충은 잎말이나방, 잿빛곰팡이, 진딧물 순으로 발생되었다. 수량성은 N 1.5kg 재배구가 N 1.2kg 대비 115%, N 0kg 대비 169%를 수확하여 타 처리에 비해 비교적 높게 나타났다.

• Proceedings of the Korean Society of Organic Agriculture Conference
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• 2009.12a
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• pp.282-282
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• 2009

환경오염에 대한 우려 및 안전농산물에 대한 소비자욕구 증대로 유기농산물 시장규모가 최근 3년간 2.8배 성장 추세이다. 친환경농산물 인증면적은 '00년 2,039 ha에서 '07년 122,882 ha로 급격히 증가하고 있으나 생태적 원리에 부합된 벼 재배기술이 부족하며 특히 무경운 논토양에 대한 경영분석 자료는 거의 없는 실정이다. 본 연구는 유기농업기술을 종합적으로 투입한 시범마을을 육성하기 위하여 하동군 양보면 예성마을 1ha를 대상으로 관행농업과 무경운 자운영 피복 벼 기계이앙을 실증하여 경제적인 효과를 검토하였다. 토양 관리를 위해 2007년 9월 10일에 자운영을 3 kg/10a 파종하여 겨울철 토양 생태계를 유지하였고 화학비료나 농약을 사용하지 않았다. 볍씨 소독은 마른 종자를 60 $^{\circ}C$에서 8분간 침지하는 열탕침법을 이용하였으며 논 물담기는 5월 28일경 15 cm 이상 깊게 하여 자운영이 잘 분해되도록 하였다. 기계이앙은 6월 10일경 표면 1 cm 이내의 물 깊이에서 식부장치를 최대한 깊게하고 주수는 주당 5-7주 정도로 실시하였으며 기계이앙 후에는 5일 정도 물을 담지 않고 그대로 두고 그 후 물을 10 cm 이상 깊게 하여 잡초발생을 억제하였다. 중간낙수는 7월 10일경 1회 처리하였고 수확기 낙수는 9월 23일 실시하였다. 무경운 처리구의 이앙전 토양 가밀도는 관행 1.30 g $cm^{-3}$ 비해 0.09 g $cm^{-3}$ 정도 가벼운 것으로 나타났고 공극률은 관행 50.8%에 비해 3.5% 높은 것으로 나타났으며 특히 수분률이 3.5% 높았다. 무경운 자운영 피복 기계이앙 처리구의 잡초발생 건물량은 7월 4일경 피 8.8 g $m^{-2}$, 여뀌 10.8 g $m^{-2}$ 이었으며 9월 18일에는 피 16.0 g $m^{-2}$, 여뀌 12.3 g $m^{-2}$였다. 수확기 관행처리구의 주당 이삭수는 16.7개, 수당립수는 101개, 천립중은 25.4 g, 등숙비율은 82.3%로 수량은 517 kg $10a^{-1}$ 였으며 무경운 자운영 피복 기계이앙은 주당 이삭수가 14.1개, 수당 립수는 103개, 천립중은 26.2 g, 등숙비율은 91.2%로 수량이 456 kg $10a^{-1}$였다. 무경운 자운영피복 벼 기계이앙은 기경작업이나 시비작업 등이 없으므로 노동력이 60% 절감되었으며 농가소득은 5% 증대되었다. 따라서 농업분야 저탄소 녹색성장과 관련하여 자연 생태계를 보전하면서 농가소득을 유지할 수 있는 방법으로 무경운 자운영 피복 벼 기계이앙이 효과적인 것으로 판단되었다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.861-866
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• 2023

Unlike conventional smart farms that require chemical fertilizers and large spaces, aquaponics farming, which utilizes the symbiotic relationship between aquatic organisms and crops to grow crops even in abnormal environments such as environmental pollution and climate change, is being actively researched. Different crops require different environments and nutrients for growth, so it is necessary to configure the ratio of aquatic organisms optimized for crop growth. This study proposes a method to measure the degree of growth based on area and volume using image processing techniques in an aquaponics environment. Tilapia, carp, catfish, and lettuce crops, which are aquatic organisms that produce organic matter through excrement, were tested in an aquaponics environment. Through 2D and 3D image analysis of lettuce and real-time data analysis, the growth degree was evaluated using the area and volume information of lettuce. The results of the experiment proved that it is possible to manage cultivation by utilizing the area and volume information of lettuce. It is expected that it will be possible to provide production prediction services to farmers by utilizing aquatic life and growth information. It will also be a starting point for solving problems in the changing agricultural environment.

• Korean Chemical Engineering Research
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• v.62 no.3
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• pp.214-224
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• 2024

Valves play an essential role in a chemical plant such as regulating fluid flow and pressure. Therefore, optimal selection of the valve size and type is essential task. Valve size and type have been selected based on theoretical formulas about calculating valve sizing coefficient (Cv). However, this approach has limitations such as requiring expert knowledge and consuming substantial time and costs. Herein, this study developed a model for predicting valve sizes and types using machine learning. We developed models using four algorithms: ANN, Random Forest, XGBoost, and Catboost and model performances were evaluated using NRMSE & R² score for size prediction and F1 score for type prediction. Additionally, a case study was conducted to explore the impact of phases on valve selection, using four datasets: total fluids, liquids, gases, and steam. As a result of the study, for valve size prediction, total fluid, liquid, and gas dataset demonstrated the best performance with Catboost (Based on R², total: 0.99216, liquid: 0.98602, gas: 0.99300. Based on NRMSE, total: 0.04072, liquid: 0.04886, gas: 0.03619) and steam dataset showed the best performance with RandomForest (R²: 0.99028, NRMSE: 0.03493). For valve type prediction, Catboost outperformed all datasets with the highest F1 scores (total: 0.95766, liquids: 0.96264, gases: 0.95770, steam: 1.0000). In Engineering Procurement Construction industry, the proposed fluid-specific machine learning-based model is expected to guide the selection of suitable valves based on given process conditions and facilitate faster decision-making.