• Title/Summary/Keyword: rice Processing

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A New Sweetpotato Cultivar for Use of Bioethanol 'Daeyumi' (바이오에탄올용 고구마 신품종 '대유미')

  • Lee, Joon-Seol;Ahn, Young-Sup;Chung, Mi-Nam;Kim, Hag-Sin;Jeong, Kwang-Ho;Bang, Jin-Ki;Song, Yeon-Sang;Shim, Hyeong-Kwon;Han, Seon-Kyeong;Suh, Sae-Jung
    • Korean Journal of Breeding Science
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    • v.42 no.6
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    • pp.674-678
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    • 2010
  • A new sweetpotato variety, 'Daeyumi', was developed by Bioenergy Crop Research Center, National Institute of Crop Science (NICS), RDA in 2008. This variety was obtained from the cross between 'Jinhongmi' and 'Xusju 18' in 2000. The seedling and line selections were performed from 2001 to 2003, preliminary and advanced yield trials were carried out from 2004 to 2005, and the regional yield trials were conducted at six locations from 2006 to 2008. 'Daeyumi' has cordate leaf, green vine and petiole, elliptic storage root, red skin and yellow flesh color of storage root. This variety is also resistant to Fusarium wilt and nematode. The starch value was 25.9%, ethanol yield was 418 L/Ton, which was 7% higher than that of 'Yulmi' variety, and the total sugar content was 2.47 g/100g, dry weight. 'Daeyumi's initial temperature of starch gelatinization was lower, 76.2$^{\circ}C$, and the retrogradation process was earlier than 'Yulmi'. The average yield of storage root was 27.8 ton/ha in the regional yield trials, which was 36% higher than that of 'Yulmi' variety. Number of storage roots over 50 gram per plant was 3.0, and the average weight of one storage root was 152 gram. This variety can be used for the production of bioethanol and starch processing.

Temperature and Solar Radiation Prediction Performance of High-resolution KMAPP Model in Agricultural Areas: Clear Sky Case Studies in Cheorwon and Jeonbuk Province (고해상도 규모상세화모델 KMAPP의 농업지역 기온 및 일사량 예측 성능: 맑은 날 철원 및 전북 사례 연구)

  • Shin, Seoleun;Lee, Seung-Jae;Noh, Ilseok;Kim, Soo-Hyun;So, Yun-Young;Lee, Seoyeon;Min, Byung Hoon;Kim, Kyu Rang
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.4
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    • pp.312-326
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    • 2020
  • Generation of weather forecasts at 100 m resolution through a statistical downscaling process was implemented by Korea Meteorological Administration Post- Processing (KMAPP) system. The KMAPP data started to be used in various industries such as hydrologic, agricultural, and renewable energy, sports, etc. Cheorwon area and Jeonbuk area have horizontal planes in a relatively wide range in Korea, where there are many complex mountainous areas. Cheorwon, which has a large number of in-situ and remotely sensed phenological data over large-scale rice paddy cultivation areas, is considered as an appropriate area for verifying KMAPP prediction performance in agricultural areas. In this study, the performance of predicting KMAPP temperature changes according to ecological changes in agricultural areas in Cheorwon was compared and verified using KMA and National Center for AgroMeteorology (NCAM) observations. Also, during the heat wave in Jeonbuk Province, solar radiation forecast was verified using Automated Synoptic Observing System (ASOS) data to review the usefulness of KMAPP forecast data as input data for application models such as livestock heat stress models. Although there is a limit to the need for more cases to be collected and selected, the improvement in post-harvest temperature forecasting performance in agricultural areas over ordinary residential areas has led to indirect guesses of the biophysical and phenological effects on forecasting accuracy. In the case of solar radiation prediction, it is expected that KMAPP data will be used in the application model as detailed regional forecast data, as it tends to be consistent with observed values, although errors are inevitable due to human activity in agricultural land and data unit conversion.

Manufacture of Pear Marc Nuruk by Aspergillus oryzae and Characteristics of Makgeolli Fermentation (Aspergillus oryzae를 이용한 배 착즙박 누룩의 제조 및 막걸리 발효특성)

  • Shin, Ja-Won;Kim, Young-Hun;Kim, Jae-Ho;Na, Kwang-Chul;Lee, Jong-Soo
    • The Korean Journal of Mycology
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    • v.41 no.4
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    • pp.255-260
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    • 2013
  • In order to develop new valuable pear marc nuruk and further, reduce environmental pollution by pear marc from pear juice processing, we prepared pear marc nuruk by incubation of Aspergillus oryzae into pear marc containing 50% of moisture at $30^{\circ}C$ for 7 days. ${\alpha}$-Amylase and glucoamylase activities of the pear marc nuruk were 320.2 IU and 442.8 IU, respectively and its acidic protease activity was showed 142.6 IU. After brewed makgeolli by using the pear marc nuruk, cooked rice and Saccharmyces cerevisiae, its physicochemical characteristics was investigated. Ethanol content of pear marc nuruk-makgeolli was 6.8% after fermentation at $25^{\circ}C$ for 10 days and also pear marc makgeolli showed 45.6% of antihypertensive angiotensin I-converting enzyme (ACE) inhibitory activity. In conclusion, pear marc nuruk had high amylase activity and pear marc-makgeolli had also good fermentation characteristics and antihypertensive ACE inhibitory activity. Therefore, it has the potential to become a new nuruk for brewing makgeolli.

A study on hyperspectral image processing for geographical origin discrimination of domestic and chinese rice (국내산과 중국산 쌀의 원산지 판별을 위한 초분광 영상 처리에 관한 연구)

  • Mo, Changyeun;Lim, Jongguk;Kim, Giyoung;Kwon, Sung Won;Lim, Dong Kyu;Min, Hyun Jung;Kwon, Kyungdo
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.147-147
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    • 2017
  • 우리나라에서는 수입 개방화 추세에 따라 공정한 유통질서 확립하고 국내 생산자와 소비자를 보호하기 위하여 원산지 표시제가 시행되고 있다. 그러나 수입 농산물과 국산 농산물의 큰 가격차이로 인하여 원산지를 허위 표시하는 경우가 증가하고 있다. 특히 쌀 관세화 전환 의무에 따른 수입산 쌀 증가하고 있으며 단립종과 중립종 수입산 쌀은 국내산 쌀과 외관이 유사하여 육안식별이 어려워 국내산 쌀로 둔갑할 우려가 있다. 이에 신속하고 비파괴적으로 쌀의 원산지를 판별할 수 있는 기술 개발이 요구되고 있다. 따라서 본 연구에서는 국내산 쌀과 중국산 쌀의 원산지를 신속하게 판별가능한 영상 처리기술을 개발하였다. 쌀은 국내에서 생산된 중립종 50점과 중국에서 생산된 단립종 및 중립종 51점이 수집되어 사용되었다. 쌀의 분광 영상은 초분광 가시광 및 근적외선 영상 시스템을 이용하여 측정하였다. 이 시스템은 할로겐-텅스텐 라인광, 시료 이송부, 초분광 영상 획득부로 구성되어 있다. 텅스텐-할로겐 라인광은 $15^{\circ}$ 각도로 대칭으로 시료에 조사되고 400 ~ 1000 nm 파장 영역의 반사광 영상 스펙트럼이 측정되었다. 초분광 영상 데이터는 광에 노출되지 않은 암실에서의 파장별 영상과 반사율이 99% 이상인 기준판의 파장별 영상을 이용하여 교정되었다. 부분최소제곱회귀법을 이용하여 쌀 원산지 판별모델 식을 개발하였고, 이 판별 모델식을 교정된 초분광 영상에 적용하여 영상처리 판별 모델을 개발하였다. 그 결과, 원산지 판별정확도가 97.4% 이상으로 나타났으며, 국내산과 중국산 쌀의 원산지 판별이 가능하였다.

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Rapid diagnosis and control of sulfonylurea resistant Monochoria korsakowii (Sulfonylurea계 제초제 저항성 물옥잠의 조기진단과 방제)

  • Park, Tae-Seon;Moon, Byeong-Chul;Cho, Jeong-Rae;Kim, Chang-Suk;Kim, Moo-Sung;Kim, Kil-Ung
    • The Korean Journal of Pesticide Science
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    • v.8 no.1
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    • pp.63-70
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    • 2004
  • Sulfonylurea(SU)-resistant Monochoria korsakowii has resently been found in rice fields in Korea. A quick, practical and accurate test of confirming herbicide resistance is necessary to take timely management decision. This article describes a rapid reliable assay to detect SU-resistant biotype of Monochoria korsakowii. Up to now, the resistance to SU has been usually checked by application seedlings with herbicide. This application technique is time consuming and not practical. Therefore, we have developed efficient, rapid and practical diagnosis which allow easy detection of the SU-resistant Monochoria korsakowii by survival rate and regenerated plant length to herbicide application after cutting plants $0.5\sim1cm$ from the planted surface. This new rapid diagnosis can determine the SU resistance of the Monochoria korsakowii within 7 days at least. If the resistance of Monochoria korsakowii is identified by the rapid diagnosis, the selection of herbicide according to the stages of plants for the effective control is very important. The resistant biotype which treated with SU herbicide-based mixtures survived from the fields could effectively be controlled by soil application of butachlor+pyrazolate GR or by foliar application of the mixtures of bentazone SL and 2,4-D SL.

Deep Learning-based Hyperspectral Image Classification with Application to Environmental Geographic Information Systems (딥러닝 기반의 초분광영상 분류를 사용한 환경공간정보시스템 활용)

  • Song, Ahram;Kim, Yongil
    • Korean Journal of Remote Sensing
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    • v.33 no.6_2
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    • pp.1061-1073
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    • 2017
  • In this study, images were classified using convolutional neural network (CNN) - a deep learning technique - to investigate the feasibility of information production through a combination of artificial intelligence and spatial data. CNN determines kernel attributes based on a classification criterion and extracts information from feature maps to classify each pixel. In this study, a CNN network was constructed to classify materials with similar spectral characteristics and attribute information; this is difficult to achieve by conventional image processing techniques. A Compact Airborne Spectrographic Imager(CASI) and an Airborne Imaging Spectrometer for Application (AISA) were used on the following three study sites to test this method: Site 1, Site 2, and Site 3. Site 1 and Site 2 were agricultural lands covered in various crops,such as potato, onion, and rice. Site 3 included different buildings,such as single and joint residential facilities. Results indicated that the classification of crop species at Site 1 and Site 2 using this method yielded accuracies of 96% and 99%, respectively. At Site 3, the designation of buildings according to their purpose yielded an accuracy of 96%. Using a combination of existing land cover maps and spatial data, we propose a thematic environmental map that provides seasonal crop types and facilitates the creation of a land cover map.

Chemical Properties Distributions of Commercial Organic By-product Fertilizers (시판 부산물비료의 화학성 분포)

  • Lee, Chang-Ho;Yoon, Young-Man;Ok, Yong-Sik;Lim, Soo-Kil;Kim, Jeong-Gyu
    • Korean Journal of Soil Science and Fertilizer
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    • v.37 no.1
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    • pp.1-6
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    • 2004
  • Agricultural recycling of livestock wastes by composting has lots of beneficial effects on crop production and soil fertility. Most of composts are made from pig manure and water content controller such as saw dust, bark, rice hulls etc. by aerobic processing. But the insufficient supply of saw dust, bark etc. cause the indiscreet use of industrial waste having heavy metals and toxic synthetic chemicals. This research investigated the present quality status of organic by-product fertilizers, and suggested the way of quality interpretation under the statistical approaches based on median, mean and weighted average value. Since the data of one hundred of samples for heavy metal contents (Cd, Pb, Cu, and Cr) and OM/N showed extremely left-skewed distribution, the median was more useful than the mean in representing the characteristics of distribiition for each items. The weighted average value will be a useful index for the quality based on the total amount of producing.

Processing Characteristics of the Condensed Wastewater Resulting from Food Waste Disposal using a Submerged Polyethylene Hollow Fiber Membrane (음식물 소멸기에서 발생하는 응축폐수의 Polyethylene 침지형 중공사막을 이용한 처리 특성)

  • Ryu, Jae-Sang;Jeon, Tae-Bong;Kim, Jin-Ho;Chung, Kun-Yong
    • Membrane Journal
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    • v.20 no.2
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    • pp.127-134
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    • 2010
  • This study is conducted about the system that reduces organism after fermenting food waste from a food waste disposal equipment, divides gas made when food waste is fermented into gas and water, and then sends gas to a reactor again, condenses water, and apply it to the MBR system with submerged MF hollow fiber membranes. A submerged MF hollow fiber membrane module was installed to a food waste disposal equipment and a water treatment system made by Bio Hitech Co,. Ltd. to process food waste generated from a staff cafeteria in a H institute for 90 days. For initial seeding of a food waste disposal equipment, 305 kg of rice bran, chaff, and sawdust as well as 1,648 kg of food were input during the operation, and 1,600 L of condensed wastewater occurred. Fermented by-product after finishing running a food waste disposal equipment was 386 kg and its reduction was shown to be 80%. The organism was processed by applying submerged MF hollow fiber membrane module to the MBR system of condensed wastewater, and the result shows reduction rates were BOD 99.9%, COD 97.5%, SS 98.6%, T-N 54.6% and T-P 34.7% and the total colon bacillus was perfectly eliminated.

Analysis of germinating seed stage expressed sequence tags in Oryza sativa L. (벼 발아종자 발현유전자의 발현특성분석)

  • Yoon, Ung-Han;Lee, Gang-Seob;Kim, Chang-Kug;Lee, Jung-Sook;Hahn, Jang-Ho;Yun, Doh-Won;Ji, Hyeon-So;Lee, Tae-Ho;Lee, Jeong-Hwa;Park, Sung-Han;Kim, Gun-Wook;Seo, Mi-Suk;Kim, Yong-Hwan
    • Journal of Plant Biotechnology
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    • v.36 no.3
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    • pp.281-288
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    • 2009
  • Seed germination is the important stage to express many genes for regulation of energy metabolism, starch degradation and cell division from seed dormancy state. For the functional analysis of seed germination mechanisms, we were analyzed the rice cDNA clones (Oryzasativa cultivar Ilpum) obtained from seed imbibition during 48 hours. Total number of 18,101 Expressed Sequence Tags (ESTs) were clustered using SeqMan program. Among them, 8,836 clones were identified as unique clones. We identified the chitinase gene specifically expressed in seed germination and amylase gene involved to starch degradation from the full length cDNA analysis, and several genes were registered to NCBI GeneBank. To analyzed the commonly expressed genes between inmature seed and germinated seed, 25,66 inmature ESTs and 18,101 germinated ESTs were clustered using SeqMan program and identified 2,514 clones as commonly expressed unigene. Among them, alpha-glubulin and alcohol dehydrogenase I were supposed to LEA genes only expressed in the immature and germinated seed stages. For the clustering of orthologous group genes, we further analyzed the 8,836 EST clones from germinating seeds using NCBI clusters of orthologous groups database. Among the clones, 5,076 clones were categorized into information storage and processing, cellular processes and signaling, metabolism and poorly characterized genes, proportioning 783 (14.29%), 1,484 (27%), 1,363 (24.8%) and 1,869 (34%) clones to the previous four categories, respectively.

Administration of Mycotoxins in Food in Korea (식품 중 곰팡이독소 안전기준 관리)

  • Kang, Kil-Jin;Kim, Hye-Jung;Lee, Yeon-Gyeong;Jung, Kyung-Hee;Han, Sang-Bae;Park, Sun-Hee;Oh, Hye-Yeong
    • Journal of Food Hygiene and Safety
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    • v.25 no.4
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    • pp.281-288
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    • 2010
  • Total aflatoxin ($B_1+B_2+G_1+G_2$) maximum levels of 15 ${\mu}g/kg$ ($B_1=10\;{\mu}g/kg$) were set for grain, beans, peanut, nuts & their processed food (grinding, cutting etc.), processed cereal product & processed bean product, confectionaries (peanut or nut-containing food), soybean paste, red pepper paste, dried red pepper, processed com products for popcorn and steamed rice. The maximum levels for aflatoxin $M_1$ are 0.5 ${\mu}g/kg$ for raw milk and milks before manufacturing processing. The patulin maximum level is 50 ${\mu}g/kg$ in apple juice and apple juice concentrate (including concentrate to use as raw material and converted by concentration multiple). The ochratoxin A is managed at the maximum levels of 5 ${\mu}g/kg$ in wheat, barley, rye, coffee beans and roasted coffee, 10 ${\mu}g/kg$ in instant coffee and raisin, 2 ${\mu}g/kg$ in Grape juice, concentrated grape juice as reconstituted and wine. The fumonisins ($B_1+B_2$) maximum levels are 4000 ${\mu}g/kg$ in com, 2000 ${\mu}g/kg$ in com processed food (grinding, cutting etc.) and com powder, 1000 ${\mu}g/kg$ in processed com products. Standards for mycotoxins in food have been established and the mycotoxin risk in food is managed reasonably and scientifically, based on risk assessment and exposure analysis.