• 제목/요약/키워드: agricultural technique level

검색결과 138건 처리시간 0.033초

Rapd Analysis of Trichoderma Isolates for Superior Selection for Biopesticide Preparation

  • Parvin, Shahnaj;Islam, Abu Taher Mohammad Shafiqul;Siddiqua, Mahbuba Khatoon;Uddin, Mohammad Nazim;Meah, Mohammad Bahadur
    • 한국작물학회지
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    • 제56권1호
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    • pp.35-43
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    • 2011
  • Thirty five isolates of Trichoderma species collected from seven different locations of Bangladesh were studied for morphological characters and molecular variation. Mycelial diameters of the isolates varied from 8.28 cm to 9.00 cm. Based on colony colour, isolates were grouped into five such as dark green, green, light green, yellowish green and whitish green. Maximum isolates were green and light green. On the basis of growth habit and colony consistency, the isolates were categorized into three groups, in which most species had fast growth and were compact in appearance. PCR-based Random Amplified Polymorphic DNA (RAPD) technique employing 3 decamer primers produced 36 scorable bands of which all (100%) were polymorphic. The co-efficient of gene differentiation (Gst) was 1.0000 reflecting the existence of high level of genetic diversity among the isolates. The Unweighted Pair Group Method of Arithmetic Means (UPGMA) dendrogram constructed from Nei's (1972) genetic distance produced 2 main clusters (13 isolates in cluster 1 and 22 isolates in cluster 2). The result indicating their genetic diversity has opened new possibility of using the most efficient and more isolates of Trichoderma in the preparation of biopesticide and decomposition of municipality waste.

Fire resistance prediction of slim-floor asymmetric steel beams using single hidden layer ANN models that employ multiple activation functions

  • Asteris, Panagiotis G.;Maraveas, Chrysanthos;Chountalas, Athanasios T.;Sophianopoulos, Dimitrios S.;Alam, Naveed
    • Steel and Composite Structures
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    • 제44권6호
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    • pp.769-788
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    • 2022
  • In this paper a mathematical model for the prediction of the fire resistance of slim-floor steel beams based on an Artificial Neural Network modeling procedure is presented. The artificial neural network models are trained and tested using an analytical database compiled for this purpose from analytical results based on FEM. The proposed model was selected as the optimum from a plethora of alternatives, employing different activation functions in the context of Artificial Neural Network technique. The performance of the developed model was compared against analytical results, employing several performance indices. It was found that the proposed model achieves remarkably improved predictions of the fire resistance of slim-floor steel beams. Moreover, based on the optimum developed AN model a closed-form equation for the estimation of fire resistance is derived, which can prove a useful tool for researchers and engineers, while at the same time can effectively support the teaching of this subject at an academic level.

자율 기계 학습을 위한 효과적인 스마트 온실 데이터 전처리 시스템 (An Effective Smart Greenhouse Data Preprocessing System for Autonomous Machine Learning)

  • 임종태;;김윤아;백정현;유재수
    • 스마트미디어저널
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    • 제12권1호
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    • pp.47-53
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    • 2023
  • 최근 정보통신기술을 농업과 접목해 새로운 가치를 창출하는 스마트팜 연구가 활발하게 진행되고 있다. 국내 스마트팜 기술이 농업 선진국 수준의 생산성을 가지기 위해서는 기계 학습을 활용한 자동화된 의사결정이 필요하다. 그러나 현재의 스마트 온실 데이터 수집 기술은 빅데이터 분석이나 기계 학습을 수행하기에 충분하지 않다. 본 논문에서는 자율 기계 학습을 위한 스마트 온실 데이터 전처리 시스템을 설계하고 구현한다. 제안하는 시스템은 대상 데이터를 다양한 전처리 기법에 적용하고 평가를 수행하여 최적 전처리 기법을 탐색하고 저장한다. 이렇게 탐색 된 최적 전처리 기법은 새롭게 수집된 데이터에 대하여 전처리를 수행하는데 활용된다.

가축분뇨 유래 퇴비 및 농경지 중 축산용 항생제의 잔류 및 위해성 평가 (Residue and risk assessment of veterinary antibiotics in manure-based composts and agricultural soils)

  • 백민경;류송희;김성철;홍영규;김진욱;김정규;권오경
    • Journal of Applied Biological Chemistry
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    • 제64권2호
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    • pp.177-184
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    • 2021
  • 축산용 항생제는 투여된 양의 일부만이 체내에서 사용되며 나머지는 분뇨로 배출되며 이를 활용한 퇴비를 농경지에 살포함으로써 농업환경에 유입되어 2차 오염 등을 초래하고 있다. 따라서, 농업환경 중 항생제 관리기준 설정 등 사후 관리 기술이 필요하다. 본 연구는 국내 사용빈도가 높은 것으로 알려진 tetracycline 및 sulfonamide 계열 등의 항생제를 대상으로 매체별 잔류량을 비교하고 퇴비 시용 전·후 농경지 토양 중 잔류항생제의 위해성을 평가하기 위하여 수행되었다. Buffer 및 SPE를 사용한 전처리 방법은 ppb 수준에서 70% 이상의 회수율을 나타냈으며, 검출한계(LOD)의 범위는 퇴비와 토양에서 각각 0.13-0.46 ㎍/kg과 0.05-0.25 ㎍/kg이었다. 잔류 항생제 분석결과 퇴비 중 tetracycline 계열 항생제의 잔류 농도는 5.38-196.0 ㎍/kg, sulfonamide 계열은 below the detection of limit (BDL)-259.0 ㎍/kg 수준으로 검출되었다. 농경지 토양의 경우 각각 0.30-53.3 ㎍/kg, BDL-4.16 ㎍/kg의 잔류 수준을 나타냈으며 토양분배계수(Kd) 값이 높은 tetracycline 계열 항생제의 잔류 농도가 sulfonamide 계열보다 높았다. 퇴비 시용 전후의 농경지 토양의 항생제에 대한 인체위해도는 항생제 종류에 따른 차이가 있었으나, 전체 HQ가 1 이하에서 안전하다는 기준에 의하면 조사된 항생제 5종 모두 인체 위해성이 매우 낮았으며 시용 전·후의 영향이 전체 위해도에 미치는 비율을 고려하면, 퇴비시용이 토양의 항생제에 대한 인체위해성에 미치는 영향은 미비한 것으로 판단되었다.

Degradation Kinetics of Carbohydrate Fractions of Ruminant Feeds Using Automated Gas Production Technique

  • Seo, S.;Lee, Sang C.;Lee, S.Y.;Seo, J.G.;Ha, Jong K.
    • Asian-Australasian Journal of Animal Sciences
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    • 제22권3호
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    • pp.356-364
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    • 2009
  • The current ruminant feeding models require parameterization of the digestion kinetics of carbohydrate fractions in feed ingredients to estimate the supply of nutrients from a ration. Using an automated gas production technique, statistically welldefined digestion rate of carbohydrate, including soluble carbohydrate, can be estimated in a relatively easy way. In this study, the gas production during in vitro fermentation was measured and recorded by an automated gas production system to investigate degradation kinetics of carbohydrate fractions of a wide range of ruminant feeds: corn silage, rice straw, corn, soybean hull, soybean meal, and cell mass from lysine production (CMLP). The gas production from un-fractionated, ethanol insoluble residue and neutral detergent insoluble residue of the feed samples were obtained. The gas profiles of carbohydrate fractions on the basis of the carbohydrate scheme of the Cornell Net Carbohydrate and Protein System (A, B1, B2, B3 and C) were generated using a subtraction approach. After the gas profiles were plotted with time, a curve was fitted with a single-pool exponential equation with a discrete lag to obtain kinetic parameters that can be used as inputs for modern nutritional models. The fractional degradation rate constants (Kd) of corn silage were 11.6, 25.7, 14.8 and 0.8%/h for un-fractioned, A, B1 and B2 fractions, respectively. The values were statistically well estimated, assessed by high t-value (>12.9). The Kd of carbohydrate fractions in rice straw were 4.8, 21.1, 5.7 and 0.5%/h for un-fractioned, A, B1 and B2 fractions, respectively. Although the Kd of B2 fraction was poorly defined with a t-value of 4.4, the Kd of the other fractions showed tvalues higher than 21.9. The un-fractioned corn showed the highest Kd (18.2%/h) among the feeds tested, and the Kd of A plus B1 fraction was 18.7%/h. Soybean hull had a Kd of 6.0, 29.0, 3.8 and 13.8%/h for un-fractioned, A, B1 and B2, respectively. The large Kd of fraction B2 indicated that NDF in soybean hull was easily degradable. The t-values were higher than 20 except for the B1 fraction (5.7). The estimated Kd of soybean meal was 9.6, 24.3, 5.0%/h for un-fractioned, A and B1 fractions, respectively. A small amount of gas (5.6 ml at 48 ho of incubation) was produced from fermentation of CMLP which contained little carbohydrate. In summary, the automated gas production system was satisfactory for the estimation of well defined (t-value >12) kinetic parameters and Kd of soluble carbohydrate fractions of various feedstuffs that supply mainly carbohydrate. The subtraction approach, however, should be applied with caution for some concentrates, especially those which contain a high level of crude protein since nitrogen-containing compounds can interfere with gas production.

분광분석법을 이용한 우유의 체세포수 측정기술 개발 (Development of Measuring Technique for Somatic Cell Count in Raw Milk by Spectroscopy)

  • 최창현;김용주;김기성;최태현
    • Journal of Biosystems Engineering
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    • 제33권3호
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    • pp.210-215
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    • 2008
  • The objective of this study was to develop models to predict SCC (somatic cell count) in unhomogenized milk by visible and near-infrared (NIR) spectroscopic technique. Total of 100 milk samples were collected from dairy farms and preserved to minimize propagation of bacteria cells during transportation. Reductive reagents such as methyl red, methylene blue, bromcresol purple, phenol red and resazurin were added to milk samples, and then colors of milk were changed based on SCC of milk. For optimal reductive reagents, reaction time was controlled at 3 level of reaction time. A spectrophotometer was used to measure reflectance spectra from milk samples. The partial least square (PLS) models were developed to predict SCC of unhomogenized milk. The PLS results showed that milk samples with reductive reagents had a good correlation between predicted and measured SCC at 5 minutes of reaction time in the visible range. The PLS models with resazurin reagent had the best performance in $400{\sim}600\;nm$. The prediction results of milk samples with resazurin had 0.86 of correlation coefficient and 14,184 cell/mL of SEP.

텍스트마이닝 기법을 이용한 국내 농식품유통 연구동향 분석 (A Trend Analysis of Agricultural and Food Marketing Studies Using Text-mining Technique)

  • 유리나;황수철
    • 한국산학기술학회논문지
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    • 제18권10호
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    • pp.215-226
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    • 2017
  • 이 연구는 1984~2015년간 국내 농식품 유통분야 연구동향을 파악하기 위해 텍스트마이닝 기법을 이용한 분석 결과이다. 텍스트마이닝은 빅데이터 분석방법의 일환으로, 많은 정보를 객관적으로 처리하여 연구주제 분류와 트렌드 분석에 이용할 수 있다. 실제분석에는 빈도분석, 토픽분석, 연관성분석을 수행하였다. 자료는 농업부문 4개 학술지 수록논문과 연구보고서 중 농식품 유통 관련 연구 제목를 이용하였다. 그 결과, 농식품 유통분야의 논문 1,126건은 6개 주제로 분류되었다. 2000년대를 기점으로 이전에는 도매와 산지연구가 활발했던 반면 이후에는 소비, 식품, 수출입 연구가 활발한 것으로 나타났다. 또한 로컬푸드와 학교급식 영역의 연구가 증가했다. 농산물 수급연구는 정책 연구보고서에서만 주기적으로 이루어졌으며, 학술논문에서는 2000년대 이후 관심주제에서 멀어지는 경향을 보였다. 2010년대 이후로는 특히 소비연구가 주류를 이루었고, 크게 소비트렌드와 소비자 행동에 관한 다양한 연구가 이루어졌다. 이 결과를 바탕으로 더 정확한 연구동향 분석을 하기위해서는, 정밀한 주제 분류기법으로 방법론을 보완하고 이용 자료를 키워드와 논문초록으로 확대함으로써 구체적인 결과를 도출해야 할 것이다.

인공신경망 모형을 이용한 제주 지하수위의 장기예측 (Long-term Prediction of Groundwater Level in Jeju Island Using Artificial Neural Network Model)

  • 정일문;이정우;장선우
    • 대한토목학회논문집
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    • 제37권6호
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    • pp.981-987
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    • 2017
  • 투수성이 큰 화산섬인 제주도에서는 땅속으로 함양된 지하수자원이 가장 중요한 수원이므로 지하수의 적정관리가 매우 중요하다. 특히 가뭄시 지하수의 이용은 염수침투를 유발할 수 있으므로 지하수위 강하에 따른 단계별 제한 조치가 마련되어 있다. 농업용 지하수위에 대한 적정 지하수 이용을 위해서는 보다 장기적인 예측을 통해 사전에 대비하는 것이 필요하다. 이에 본 연구에서는 인공신경망 모형을 이용한 지하수위의 월단위예측기법을 개발하였고, 대표적인 관측공에 대해 적용하였다. 월단위 지하수위를 예측한 결과 학습 및 검증기간 모두 예측 성능이 우수한 것으로 분석되었다. 또한 장기예측을 위해서 입력인자로 월단위 지하수위 예측치를 순차적으로 이용하는 연속지하수위예측 모형을 구축하고 수개월 동안 무강수의 극한조건에 대한 지하수위 저하 양상을 분석하였다.

Response of Ecosystem Carbon and Water Vapor Exchanges in Evolving Nocturnal Low-Level Jets

  • Hong, Jin-Kyu;Mathieu, Nathalie;Strachan, Ian B.;Pattey, Elizabeth;Leclerc, Monique Y.
    • Asian Journal of Atmospheric Environment
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    • 제6권3호
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    • pp.222-233
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    • 2012
  • The nocturnal low-level jet makes a significant impact on carbon and water exchanges and turbulent mixing processes in the atmospheric boundary layer. This study reports a case study of nocturnal surface fluxes such as $CO_2$ and water vapor in the surface layer observed at a flat and homogeneous site in the presence of low-level jets (LLJs). In particular, it documents the temporal evolution of the overlying jets and the coincident response of surface fluxes. The present study highlights several factors linking the evolution of low-level jets to surface fluxes: 1) wavelet analysis shows that turbulent fluxes have similar time scales with temporal scale of LLJ evolution; 2) turbulent mixing is enhanced during the transition period of low-level jets; and 3) $CO_2$, water vapor and heat show dissimilarity from momentum during the period. We also found that LLJ activity is related not only to turbulent motions but also to the divergence of mean flow. An examination of scalar profiles and turbulence data reveal that LLJs transport $CO_2$ and water vapor by advection in the stable boundary layer, suggesting that surface fluxes obtained from the micrometeorological method such as nocturnal boundary layer budget technique should carefully interpreted in the presence of LLJs.

국제관방화 시대에 있어서 축산식품의 안전성 및 품질에 대한 수의학적 관리강화 방안 (Strengthening of Veterinary Services for Safety and Quality Control of the Livestock Products as Food in the Market Internationalization Era)

  • 박근식;박종명;조준형
    • 한국가금학회지
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    • 제18권2호
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    • pp.121-135
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    • 1991
  • Facing the international open-trade of agricultural and livestock products, a basic strategy is urgently necessary to improve the domestic livestock industry to an international level. Price and quality competitions are the most important target in international trade. Improvement in productivity of livestock is the most important factor in price competition. In recent trade of livestock products, quality competition becomes more important than price competition in livestock products, and will be severer in the future. Basic strategies for higher productivity and safety of livestock products are listed as follows : 1. Protection from exotic diseases 2. Eradication of indigenous diseases 3. Development of new methods and techniques for control of animal diseases 4. Application of hygiene and management techniques 5. Safety evaluation of feedstuffs and animal drugs, and 6. Development of technique and regulations for prevention and monitoring of residue of harmful chemicals.

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