• 제목/요약/키워드: Agricultural Technique

검색결과 1,194건 처리시간 0.03초

Feasibility Study for Detection of Turnip yellow mosaic virus (TYMV) Infection of Chinese Cabbage Plants Using Raman Spectroscopy

  • Kim, Saetbyeol;Lee, Sanguk;Chi, Hee-Youn;Kim, Mi-Kyeong;Kim, Jeong-Soo;Lee, Su-Heon;Chung, Hoeil
    • The Plant Pathology Journal
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    • 제29권1호
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    • pp.105-109
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    • 2013
  • Raman spectroscopy provides many advantages compared to other common analytical techniques due to its ability of rapid and accurate identification of unknown specimens as well as simple sample preparation. Here, we described potential of Raman spectroscopic technique as an efficient and high throughput method to detect plants infected by economically important viruses. To enhance the detection sensitivity of Raman measurement, surface enhanced Raman scattering (SERS) was employed. Spectra of extracts from healthy and Turnip yellow mosaic virus (TYMV) infected Chinese cabbage leaves were collected by mixing with gold (Au) nanoparticles. Our result showed that TYMV infected plants could be discriminated from non-infected healthy plants, suggesting the current method described here would be an alternative potential tool to screen virus-infection of plants in fields although it needs more studies to generalize the technique.

Direct Stem Blot Immunoassay (DSBIA): A Rapid, Reliable and Economical Detection Technique Suitable for Testing Large Number of Barley Materials for Field Monitoring and Resistance Screening to Barley mild mosaic virus and Barley yellow mosaic virus

  • Jonson, Gilda;Park, Jong-Chul;Kim, Yang-Kil;Kim, Mi-Jung;Lee, Mi-Ja;Hyun, Jong-Nae;Kim, Jung-Gon
    • The Plant Pathology Journal
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    • 제23권4호
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    • pp.260-265
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    • 2007
  • Testing a large number of samples from field monitoring and routine indexing is cumbersome and the available virus detection tools were labor intensive and expensive. To circumvent these problems we established tissue blot immunoassay (TBIA) method an alternative detection tool to detect Barley mild mosaic virus (BaMMV) and Barley yellow mosaic virus (BaYMV) infection in the field and greenhouse inoculated plants for monitoring and routine indexing applications, respectively. Initially, leaf and stem were tested to determine suitable plant tissue for direct blotting on nitrocellulose membrane. The dilutions of antibodies were optimized for more efficient and economical purposes. Results showed that stem tissue was more suitable for direct blotting for it had no background that interferes in the reaction. Therefore, this technique was referred as direct stem blot immunoassay or DSBIA, in this study. Re-used diluted (1:1000) antiserum and conjugate up to 3 times with the addition of half strength amount of concentrated antibodies was more effective in detecting the virus. The virus blotted on the nitrocellulose membrane from stem tissues kept at room temperature for 3 days were still detectable. The efficiency of DSBIA and RT-PCR in detecting BaMMV and BaYMV were relatively comparable. Results further proved that DSBIA is a rapid, reliable and economical detection method suitable for monitoring BaMMV and BaYMV infection in the field and practical method in indexing large scale of barley materials for virus resistance screening.

국내 원산지별 고춧가루의 매운맛 비파괴 측정기술 개발 (Development of non-destructive pungency measurement technique for red-pepper powder produced in different domestic origins)

  • 모창연;이강진;임종국;강석원;이현동;조병관
    • 농업과학연구
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    • 제39권4호
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    • pp.603-612
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    • 2012
  • In this research, the feasibility of non-destructive measurement technique of pungency measurement was investigated for the red-pepper powders produced in different domestic areas in South Korea. The near-infrared absorption spectra in the range of 1100 nm~2300 nm was used to measure capsaicinoids content in red-pepper powders by using a NIR spectroscopy equipped with Acousto-optic tunable filters (AOTF). Fourth three different red-pepper powders from 14 different locations were collected and separated in three different particle size (below 0.425 mm, 0.425~0.71 mm, 0.71~1.4 mm) for the spectral measurements. The partial least square regression (PLSR) models to predict the capsaicinoids content depends on particle size were developed with the measured spectra. The determinant coefficients and standard errors of the developed models for the red-pepper powders of below 0.425 mm, 0.425~0.71 mm, and 0.71~1.4 mm were in the range of 0.859~0.887 and 12.90~12.99 mg/100 g, respectively. The PLS model with the pretreatment of Standard Normal Variate (SNV) for the red-pepper powders below 1.4 mm particle size showed the best performance with the determinant coefficient of 0.844 and the standard error of 14.63 mg/100 g.

고대 혼파(混播)원리와 응용기술로서의 가설(假說) 연구 (A Study on Principle of Ancient Mix Seeding and Hypothesis by Practical Technology)

  • 구자옥;국용인
    • 한국잡초학회지
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    • 제31권4호
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    • pp.394-400
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    • 2011
  • 중국에서 발상되어 우리나라에서 일반화하였던 고대 농법 혼파는 재해대책의 하나로서 최소한의 식량곡물을 확보하는 수단이었다. 이들 기술에 대한 역사적 흐름도를 중국농서인 "제민요술"(5세기 전후)와 "왕정농서"(1313)부터 우리나라 고대농서인 "농사직설"(1429)"한정록"(1610) "색경"(1676) "증보산림경제"(1766) "과농소초"(1799) "임원경제지"(1843)로부터 인용 제시하였다. 이들 혼파원리를 응용하는 무비 무농약 벼 이품종 혼파법은 아졸라 투입 무경운 벼 다품종 직산파를 전제로 하여 새로운 생력친환경 농법으로 제시하였다. 아울러 기존 연구결과들을 인용하여 현실적 타당성을 제시하여 평가하였다.

THE CHINESE TRADITIONAL METHODS FOR ENERGY SAVING AND THEIR APPLICATIONS IN MODER STRUCTURES

  • Chen, Jiancheng
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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    • pp.617-626
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    • 1993
  • Energy saving is a very important subject for research workers nowadays. While most people are concerning with the modern methods, the authors investigated this problem from another angle- the chinese traditional methods of energy saving. The tunnel with technique and its combination with computer simulation and fuzzy compressive judgement methods are discussed. Earth heat green house, marsh gas, solar energy underground storage system, storing of nature cold sources, have been introduced in this paper.

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데이터 마이닝을 이용한 농산물 전자상거래의 온 오프라인 통합시스템 (Integrated System of On-Off Line in Agricultural Products Electronic Commerce Based on Data Mining)

  • 주종문;황승국
    • 산업경영시스템학회지
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    • 제25권3호
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    • pp.58-63
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    • 2002
  • The Internet, as a commercial tool, presented a new market that connects producers with consumers through the E-commerce. Now, E-commerce spreads over almost all industries through the Internet excluding some. This research indicates the reason why the E-commerce is not activated in agricultural Industry, which is less developed than other industries. And it suggests a good example of E-commerce on the agricultural products combining on and off line markets. In addition, data-mining technique is suggested to analyze whole information in system.

Analysis of spraying performance of agricultural drones according to flight conditions

  • Dae-Hyun Lee;Baek-Gyeom Seong;Seung-Woo Kang;Soo-Hyun Cho;Xiongzhe Han;Yeongho Kang;Chun-Gu Lee;Seung-Hwa Yu
    • 농업과학연구
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    • 제50권3호
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    • pp.427-435
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    • 2023
  • This study was conducted to evaluate the spraying performance according to the flight conditions of agricultural drones for the development of a variable control system. The analyzed flight conditions comprised six factors: spraying direction, flight speed, altitude, wind speed, wind direction, and rotor rotational speed. The ratio of the area sprayed on the water-sensitive paper was used as the coverage, and the distribution and amount of the coverage were evaluated. The coverage distribution based on the distance from the drone was used to evaluate a spray pattern, and the distribution was expressed as a Gaussian function approximation. In addition, the probability distribution based on coverage was expressed as the cumulative probability via Gamma function approximation to analyze the spraying efficiency in the target area. The results showed that the averaged coverage decreased significantly as the flight speed and wind speed increased, and the wind direction changed the spray pattern without a coverage decrease. This study contributes to the development of a control technique for the precision control system of agricultural drones.

미래 기후변화에 따른 농업용 저수지 용수공급의 불확실성 (Uncertainty of Water Supply in Agricultural Reservoirs Considering the Climate Change)

  • 남원호;홍은미;최진용
    • 한국농공학회논문집
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    • 제56권2호
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    • pp.11-23
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    • 2014
  • The impact and adaption on agricultural water resources considering climate change is significant for reservoirs. The change in rainfall patterns and hydrologic factors due to climate change increases the uncertainty of agricultural water supply and demand. The quantitative evaluation method of uncertainty based on agricultural water resource management under future climate conditions is a major concern. Therefore, it is necessary to improve the vulnerability management technique for agricultural water supply based on a probabilistic and stochastic risk evaluation theory. The objective of this study was to analyse the uncertainty of water resources under future climate change using probability distribution function of water supply in agricultural reservoir and demand in irrigation district. The uncertainty of future water resources in agricultural reservoirs was estimated using the time-specific analysis of histograms and probability distributions parameter, for example the location and the scale parameter. According to the uncertainty analysis, the future agricultural water supply and demand in reservoir tends to increase the uncertainty by the low consistency of the results. Thus, it is recommended to prepare a resonable decision making on water supply strategies in terms of using climate change scenarios that reflect different future development conditions.