• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.969-977
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• 2016

Climate change affects the growth of crops which were planted especially in fields, and it becomes more important to use climate data to predict the yields of the major vagetables. The variation of the crop products caused by climate change is one of the significant factors for the discrepancy of the demand and supply, and leads to the price instability. In this paper, using a panel regression model, we predicted the garlic yields with the weather conditions of different regions. More specifically we used the panel data of the several climate variables for 15 main garlic production areas from 2006 to 2015. Seven variables (average temperature, average maximum temperature, average minimum temperature, average surface temperature, cumulative precipitation, average relative humidity, cumulative duration time of sunshine) for each month were considered, and most significant 7 variables were selected from the total 84 variables by the stepwise regression. The random effects model was chosen by the Hausman test. The average maximum temperature (January), the cumulative precipitation (March, October), the cumulative duration time of sunshine (April, October) were chosen among the variables as the significant climate variables of the model

• Journal of Bio-Environment Control
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• v.31 no.4
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• pp.432-437
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• 2022

In this study, strawberries were grown during the two cultivation periods (first: 2020-2021, second: 2021-2022) to analyze the effect of the external light environment and growing degree days (GDD) on crop production. The temperature and humidity during day in a greenhouse in each cultivation period were similarly managed. At night, there was a statistical difference in temperature and humidity in the greenhouse between two periods. The accumulated solar radiation during the first cultivation period was high in September and October. Since January, the accumulated solar radiation during the second cultivation period was high. In the second cultivation period, the initial yield was small because the accumulated solar radiation and GDD was small. But accumulated yields and potential maximum yields in second cultivation period were larger than yields in the first cultivation period as the accumulated solar radiation and GDD increased. The sugar contents of strawberry decreased as GDD increased.

• Agrochemical news magazine
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• v.16 no.4 s.127
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• pp.10-15
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• 1995

• The Korean Journal of Applied Statistics
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• v.29 no.5
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• pp.873-885
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• 2016

Onions are grown in a few specific regions of Korea that depend on the climate and the regional characteristic of the production area. Therefore, when onion yields are to be estimated, it is reasonable to use a statistical model in which both the climate and the region are considered simultaneously. In this paper, using a spatial panel regression model, we predicted onion yields with the different weather conditions of the regions. We used the spatial auto regressive (SAR) model that reflects the spatial lag, and panel data of several climate variables for 13 main onion production areas from 2006 to 2015. The spatial weight matrix was considered for the model by the threshold value method and the nearest neighbor method, respectively. Autocorrelation was detected to be significant for the best fitted model using the nearest neighbor method. The random effects model was chosen by the Hausman test, and the significant climate variables of the model were the cumulative duration time of sunshine (January), the average relative humidity (April), the average minimum temperature (June), and the cumulative precipitation (November).

• Journal of the Korean Institute of Gas
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• v.27 no.3
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• pp.98-107
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• 2023

This study presents a well spacing design for coalbed methane(CBM) reservoirs using the experimental results of methane gas adsorption measurement of coal samples obtained from North Kalimantan Island, Indonesia. The gas productivity analysis shows that the cumulative gas production increases as the Langmuir volume increases. This indicates that the maximum gas adsorption directly affects the gas production. In addition, the maximum gas production increases with the increase of reservoir permeability, and the dewatering period is shortened. In particular, the cumulative gas production increases as the production influence area increases. However, when comparing productivity per unit well, the maximum cumulative gas production is found between 2,000 ft of depth and 80-160 acres of the influence area. When reservoir depth and production influence area are considered simultaneously, the results of the appropriate well depth and spacing calculations show that gas productivity is highest between 600-2,000 ft. In this case, it is appropriate to design well spacing in the range of 80-160 acres. Therefore, well spacing design considering coalbed depth in undeveloped CBM reservoirs can be accomplished using gas sorption test results from coal samples.

• Monthly Duck's Village
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• s.205
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• pp.12-19
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• 2020

AI(조류인플루엔자) 특별방역기간이 연장된데 이어 오리농가 위험도 평가 기준안이 기습적으로 지자체에 시달되는 등 오리산업을 둘러싼 각종 방역규제가 강화되면서 오리농가들의 피해가 가중되고 있다. 일제 입식과 출하, 출하 후 휴지기간 14일 준수 의무 부여를 비롯해 2017년부터 시행중인 오리농가 사육제한에 따른 생산량 감소로 막대한 피해가 발생하고 있는 오리업계에 또 다른 제재가 가해지고 있는 것이다. 반면 2017년부터 3년째 시행중인 전국 오리농가 사육제한에 따른 보상금 누적 지출액은 약 200억원에 달해 막대한 국고 지출이 이뤄지고 있다. 이제 제대로 된 AI 방역대책과 현실적인 방역조치 개선이 절실한 때다. 오리산업을 향한 무차별적인 제재는 선을 넘었다.

• Journal of the Korean earth science society
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• v.39 no.5
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• pp.419-435
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• 2018

The purpose of this study is to understand meteorological and climatological factors that have influence on the garlic product in Seosan and Taean, and to analyze the economic value according to the use of climatical information data for garlic farmers. The climatological characteristics and trends in this area are analyzed using the meteorological data at the Seosan local meteorological agency from 1984 to 2013, the national statistical data for the product of garlic from 1989 to 2013, and the scenario data for climate change (RCP 4.5 and 8.5) for the period from 2001 to 2100. The results are as follows. First, the condition of lower temperature for garlic growth in winter season is satisfied with the mean air temperature. The wind speed are lower and stronger in Seosan and Taean than other garlic area. The suitable condition for the growth of northern type of garlic shows the decreasing trend in the accumulated precipitation in May. However, the area of growing the northern type garlic in the future is likely diminished because mean air temperature, accumulated precipitation, and mean wind speed are strong in the harvest time of garlic. Second, the seedtime of the northern and southern type of garlic using climate change scenarios (RCP 4.5, 8.5) in Seosan and Taean is getting late as time passes. and the harvest time gets faster, which indicates s that the period of garlic cultivation becomes shorter from 50 days to around 90 in the next 100 years. Third, the beginning days of white rot and delia platura of garlic are estimated by applying to the meteorological algorithm using mean air temperature and soil humidity. Especially, the beginning day of white rot garlic is shown to be faster according to the scenarios of RCP 4.5 and RCP 8.5. Fourth, the product of garlic (kg/10a) shows a high correlation with the minimum air temperature of a wintering time, the mean wind speed of a wintering time, the accumulated precipitation of a corpulent time, and the mean relative humidity of corpulent time of garlic. On the other hand, the analysis of garlic product when using the meteorological information data in cultivating garlic in Seosan and Taean reveals that the economic value increases up to 9% in total.

• Journal of the Korean earth science society
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• v.38 no.7
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• pp.481-495
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• 2017

The purpose of this study is to investigate and analyze the relationship between meteorologicalclimatic factors and fruit property data from Aronia sampling points during May to August 2016 in the Danyang area. For this purpose, we investigated the meteorological factor, the physicalchemical property of fruit and soil, and the property change of fruit according to the setting of rain and daylight shielding from Aronia sampling points. The result indicate that first, meteorologicalclimatic factors such as the maximum air temperature, the accumulated precipitation, the relative humidity, and daylight hours are a positive influence on products and maintenance of quality of Aronia as well as a suitable field for cultivating Aronia in the Danyang. However, a strong wind in April and May deeply affects the falling phenomenon of the flowering and blooming season. Second, the quality and products of Aronia show the high correlation coefficients of more than 0.9 with agricultural meteorologicalclimatic factors such as daily maximum temperature, daily soil temp, daily soil pH, cumulated precipitation, and daily soil humidity. Also, they can be predicted by the regression equations using these factors. Third, it is necessary to maintain the rain shielding in these fields because antocyanin and saccharinity components within Aronia decreased in case of heavy rainfalls. And, the result of regression analysis saccharinity and antocyanin within aronia from normal fields and rain shieldingfields at Aronia sampling points show a high correlation, respectively.

• Korean Journal of Environmental Agriculture
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• v.14 no.1
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• pp.1-6
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• 1995

This experiment was carried out to clarify the evapotranspiration and water use efficiency in rice plant canopy. Two rice cultivars, Daechungbyo(japonica type) and Samgangbyo(Tongil) were planted on the field of Suwon Weather Forecast Station in 1989. Evapotranspiration, dry matter production and leaf area of rice plant were measured to investigate the water use efficiency. There was significant correlation between cumulative evapotranspiration and dry matter production of aboveground. The parameter of linear regression was 4.13. The ratio of cumulative top dry matter production per cumulative evapotranspiration was increased until $5.5{\sim}5.9$ leaf area index. The de Wit's "m" value revealed maximum record at heading-flowering stage. At the harvest, the values were ranged from 175.5 to 191.7. The parameter of cumulative solar radiation to dry matter production was $1.011{\sim}1.248$. The evapotranspiration ratio(g.water/g.DW) of Samgangbyo(278) was higher than that of Daechungbyo (299.9). The efficiency of evapotranspiration(g.DW/g. water) was 1.58 in Daechungbyo and 1.98 in Samgangbyo.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.90-90
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• 2018

고사리(Ferns)는 고사리 속(Pteiidium spp.)에 속하는 양치식물의 총칭으로서 우리나라에는 22과 70속 272종이 분포되어 있는 것으로 보고되었다. 고사리의 어린 순에는 가식부 100g 당 칼슘 15.0mg, 칼륨 185.0mg 등이 함유되어 있으며 골다공증, 심혈관질환 등에 효과가 있고 식이섬유로 인해 변비 예방에도 유용한 것으로 알려져 있다. 2017년 기준 우리나라의 고사리 재배면적은 3,280ha 수준으로 그중 전라북도의 고사리 재배는 재배면적 285ha이며 연간 생산량 1,985톤으로 전국 생산량의 21%를 차지하고 있어 전라북도의 산채 재배작목 중 중요한 비중을 차지하고 있다. 고사리 재배는 정식 후 수확기간이 길고 제초노력 등의 노동력 의존도가 상대적으로 낮아 최근 재배면적이 늘어나고 있는 추세이나, 종근의 적정 규격 등에 대한 기준이 제시되지 않아 경영비 부담이 큰 실정이다. 본 연구는 고사리 종근 규격을 종근 두께 기준 A등급($14.1{\pm}3.31mm$), B등급($8.3{\pm}1.88mm$), C등급($3.3{\pm}2.31mm$)로 구분하여 표고 500m의 허브시험장 연구포장에 3월 28일 정식한 후 2018년 4월부터 신초 출현양상 및 수량성을 조사하였다. 파종 2년차 고사리 신초의 출현양상은 4월 11일부터 출현을 시작하여 6월 11일 까지 빠르게 증가하여 7월 9일 이후 고온기이후 증가세가 완만해지는 경향을 보였고 9월 10일까지 누적 신초수는 A 등급 파종구에서 80.0개를 보였다. 신초 출현 후 포자엽이 전개되어 상품성을 상실하기까지의 포자엽 전개일수는 주 수확시기인 4~5월에는 5.3~6.7일이 소요되었으나, 포자엽 전개이후 울폐가 이루어지는 8~9월에는 9.7~11.7일이 소요되어 생육 초기 차광에 의한 전개일수 연장효과가 기대되었다. 생육기간 동안 조사시기별 신초의 두께는 6월 11일과 9월 11일 조사한 신초에서 굵어지는 경향을 보였고, 상품성 있는 고사리 신초의 규격을 신초장 20cm로 포자엽 전개 직전으로 한정하여 수확을 실시한 결과 파종 2년차 수확은 4월18일 이후 4회 이루어졌으며 신초의 생체중은 5.2~6.0g/개의 범위로 종근 규격 간에는 차이가 인정 되지 않았다. 4월 18일에서 5월 8일까지의 수확기간 동안 누적 신초 수확량은 A 등급과 B 등급의 종근을 파종한 처리에서 각 32.2개/$m^2$, 30.3개/$m^2$로 C 등급 파종구에 비해 유의하게 수확 신초수가 증가하였다. 단위면적당 신초 수량성은 4월 30일 3회차 수확시부터 종근 규격간 차이가 있었으며 누적 신초수량은 A 등급과 B 등급 파종구에서 각 183.3kg/10a, 169.9kg/10a로 유의하게 높았는데 이는 파종된 종근의 두께에 따라 상품성 있는 신초 출현수가 유의하게 증가된 때문으로 판단되었다.