• Journal of Practical Agriculture & Fisheries Research
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• v.21 no.2
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• pp.59-69
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• 2019

This study was carried out to investigate effects of soil water content on growth and antioxidative enzymes activity of tomato seedlings during the nursery period. The water stress significantly damages morphological, physiological, and biochemical activities in plants. The seedlings planted with soil on the tray were irrigated and categorized into 3 groups with 30 g, 40 g, and 50 g of plant-soil weight. After then, the changes in weight of the soil and the seedling were measured evey 2 hours for 4 days and the leaf temperature was measured with the thermal-camera at the same time. The antioxidant enzymes were measured to determine the level of stress using all of the seedling samples. The result showed that the decrease of soil weight in the day time was faster than that in the night time, but there was no significant difference in the weight loss of the seedlings and soil among the groups. However, the group with 50 g of wight showed the highest SOD and POD contents. This is considered that the continuously wet soil on the root zone of the seedlings caused more stress for the seedlings. Therefore, it is concluded that the excess moisture content causes stress to stimulate the secretion of antioxidant enzymes, and the effect of stress is required to be analyzed comprehensively using environmental data and also the physiological data that are collected over a longer period.

• Journal of Korean Society of Forest Science
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• v.85 no.3
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• pp.462-471
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• 1996

This study was conducted to investigate the effects of meteorological changes on tree growth due to the reservoir construction. First, climatic normals were estimated before and after the reservoir construction at the area of Imha, through the topoclimatological relationships. Secondly, the amount of meteorological changes was quantified based on the difference analysis of the climatic normals. Thirdly, the diameter increments of Pinus densiflora around Imha area were measured with increment borer. Sample trees were taken on the 6 points of 30m, 100m, 500m, 1km, 3km, and 5km from the reservoir, respectively. Finally, effects of meteorological changes on tree growth were investigated based on the analysis of tree ring increment patterns. Results showed that the growth of trees within the range of 1km from the reservoir had been increased, but the growth of ones out of 1km range had no relationship with meteorological changes after the reservoir construction. It seems that the diameter increment of trees grown near reservoir has been increased mainly due to the increased solar radiation in spring and the increased total amount of precipitation during growing season, compared with those before the reservoir construction. It is supposed, however, that the changes of monthly mean temperature has little effect on the tree growth because of its small amount of changes.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.5
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• pp.878-886
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• 2011

The soybean is one of the oldest cultivated crops in the world. Microwave remote sensing is an important tool because it can penetrate into cloud independent of weather and it can acquire day or night time data. Especially a ground-based polarimetric scatterometer has advantages of monitoring crop conditions continuously with full polarization and different frequencies. In this study, soybean growth parameters and soil moisture were estimated using polarimetric discrimination ratio (PDR) by radar scatterometer. A ground-based polarimetric scatterometer operating at multiple frequencies was used to continuously monitor the soybean growth condition and soil moisture change. It was set up to obtain data automatically every 10 minutes. The temporal trend of the PDR for all bands agreed with the soybean growth data such as fresh weight, Leaf Area Index, Vegetation Water Content, plant height; i.e., increased until about DOY 271 and decreased afterward. Soil moisture lowly related with PDR in all bands during whole growth stage. In contrast, PDR is relative correlated with soil moisture during below LAI 2. We also analyzed the relationship between the PDR of each band and growth data. It was found that L-band PDR is the most correlated with fresh weight (r=0.96), LAI (r=0.91), vegetation water content (r=0.94) and soil moisture (r=0.86). In addition, the relationship between C-, X-band PDR and growth data were moderately correlated ($r{\geq}0.83$) with the exception of the soil moisture. Based on the analysis of the relation between the PDR at L, C, X-band and soybean growth parameters, we predicted the growth parameters and soil moisture using L-band PDR. Overall good agreement has been observed between retrieved growth data and observed growth data. Results from this study show that PDR appear effective to estimate soybean growth parameters and soil moisture.

• Korean Journal of Remote Sensing
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• v.29 no.1
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• pp.35-43
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• 2013

We analyzed the relationships between backscattering coefficients of wheat measured by COSMO-SkyMed SAR and biophysical measurements such as biomass, vegetation water content, and soil moisture over an entire wheat growth period. Backscattering coefficients increased until DOY 129 and then decreased along with fresh weight, dry weight, and vegetation water content. Correlation analysis between backscattering and wheat growth parameters revealed that backscatter correlated well with fresh weight (r=0.88), vegetation water content (r=0.87), and dry weight (r=0.80), while backscatter did not correlated with soil moisture (r=0.18). Prediction equations for estimation of wheat growth parameters from the backscattering coefficients were developed.

• Journal of the Korean association of regional geographers
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• v.16 no.3
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• pp.201-215
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• 2010

This paper aimed to analyze the impact of temperature rising on the change of cultivation area and yields of apple. This study used apple data from statistical year book and climate data from Daegu, Uiseong, and Jangsu weather station. It was investigated whether temperature rising have had significant impact on apple. In the 1970s, the apple grew mostly in the southern part of Gyeongsangbuk-do between regions in and around Daegu and Gyeongsan. Recently, the cultivation area and yields of apple were concentrated on northern part of Gyeongsangbuk-do between regions in and around Uiseong and Mungyeong. The mean temperature from April to October is good in Uiseong and Jangsu. But the mean temperature from April to October is higher than optimal condition in Daegu. It means that temperature rising have a bad influence in apple cultivation. The daily temperature range is decreasing in Daegu and Jangsu, but it is increasing in Uiseong.

• Journal of The Korean Society of Grassland and Forage Science
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• v.18 no.4
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• pp.345-350
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• 1998

In order to evaluate the feed value of rice straw as influenced by ripening stage, and to determine the effects of chemical treatments and ensiling on its feeding value, in situ studies using a rumen fistulated Korean cow nylon bag technique, and digestion trials with sheep were conducted. Experiments were conducted at the Experimental Farms, Woosuk University, Wanju in 1998. The results obtained are summarized as follows; 1. The contents of crude protein and crude fat were decreased(P<0.05), while those of crude fiber and crude ash were increased as the ripening of rice straw progressed. The content of NDF was not affected by the ripening stage. After the yellow stage hemicellulose was remarkably decreased while cellulose and lignin were increased. 2. Degradation of rice straw NDF in the rumen was most rapid when at the heading stage, but degradation of straws after the milky stage were similar each other. Degradation of rice straw ADF, on the other hand, did not show any difference with advancing ripening stage. In Conclusion, the change of chemical composition and degradation rate of rice straw in the rumen under the different ripening stage, it can be concluded that the lignification of rice straw was accelerated after the heading stage.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.6
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• pp.844-847
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• 2010

Water is the most important factor in crop cultivation. Water requirement of red pepper can be calculated based on the lysimeter experiments carried out by the RDA for 11 years about potential evapotranspiration, crop coefficient with climate data. The mean water requirement and total water requirement of red pepper in different growth stages are evaluated for two kinds of cultivation method.

• Korean Journal of Remote Sensing
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• v.27 no.2
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• pp.191-201
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• 2011

Soybean has widely grown for its edible bean which has numerous uses. Microwave remote sensing has a great potential over the conventional remote sensing with the visible and infrared spectra due to its all-weather day-and-night imaging capabilities. In this investigation, a ground-based polarimetric scatterometer operating at multiple frequencies was used to continuously monitor the crop conditions of a soybean field. Polarimetric backscatter data at L, C, and X-bands were acquired every 10 minutes on the microwave observations at various soybean stages. The polarimetric scatterometer consists of a vector network analyzer, a microwave switch, radio frequency cables, power unit and a personal computer. The polarimetric scatterometer components were installed inside an air-conditioned shelter to maintain constant temperature and humidity during the data acquisition period. The backscattering coefficients were calculated from the measured data at incidence angle $40^{\circ}$ and full polarization (HH, VV, HV, VH) by applying the radar equation. The soybean growth data such as leaf area index (LAI), plant height, fresh and dry weight, vegetation water content and pod weight were measured periodically throughout the growth season. We measured the temporal variations of backscattering coefficients of the soybean crop at L, C, and X-bands during a soybean growth period. In the three bands, VV-polarized backscattering coefficients were higher than HH-polarized backscattering coefficients until mid-June, and thereafter HH-polarized backscattering coefficients were higher than VV-, HV-polarized back scattering coefficients. However, the cross-over stage (HH > VV) was different for each frequency: DOY 200 for L-band and DOY 210 for both C and X-bands. The temporal trend of the backscattering coefficients for all bands agreed with the soybean growth data such as LAI, dry weight and plant height; i.e., increased until about DOY 271 and decreased afterward. We plotted the relationship between the backscattering coefficients with three bands and soybean growth parameters. The growth parameters were highly correlated with HH-polarization at L-band (over r=0.92).

• Korean Journal of Environmental Agriculture
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• v.37 no.4
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• pp.251-259
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• 2018

BACKGROUND: Various culture media have been used for hydroponic cultures of horticultural plants under the smart greenhouses with natural and artificial light types. Management of the culture medium for the control of medium amounts and/or necessary components absorbed by plants during the cultivation period is performed with ICT (Information and Communication Technology) and/or IoT (Internet of Things) in a smart farm system. This study was conducted to develop the cloud-based data analysis system for effective management of culture medium applying to hydroponic culture and plant growth in smart greenhouses. METHODS AND RESULTS: Conventional inorganic Yamazaki and organic media derived from agricultural byproducts such as a immature fruit, leaf, or stem were used for hydroponic culture media. Component changes of the solutions according to the growth stage were monitored and plant growth was observed. Red and green lettuce seedlings (Lactuca sativa L.) which developed 2~3 true leaves were considered as plant materials. The seedlings were hydroponically grown in the smart greenhouse with fluorescent and light-emitting diodes (LEDs) lights of $150{\mu}mol/m^2/s$ light intensity for 35 days. Growth data of the seedlings were classified and stored to develop the relational database in the virtual machine which was generated from an open stack cloud system on the base of growth parameter. Relation of the plant growth and nutrient absorption pattern of 9 inorganic components inside the media during the cultivation period was investigated. The stored data associated with component changes and growth parameters were visualized on the web through the web framework and Node JS. CONCLUSION: Time-series changes of inorganic components in the culture media were observed. The increases of the unfolded leaves or fresh weight of the seedlings were mainly dependent on the macroelements such as a $NO_3-N$, and affected by the different inorganic and organic media. Though the data analysis system was developed, actual measurement data were offered by using the user smart device, and analysis and comparison of the data were visualized graphically in time series based on the cloud database. Agricultural management in data visualization and/or plant growth can be implemented by the data analysis system under whole agricultural sites regardless of various culture environmental changes.

• Journal of the Korea Organic Resources Recycling Association
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• v.4 no.1
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• pp.1-11
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• 1996

The effect of seeding on the thermophilic composting of food waste was investigated with selected strains of yeast, thermophilic bacteria and the mixed strains of yeast and bacteria in the lab-scale composter at $50^{\circ}C$. The results demonstrated that in all case the growth of yeasts preceded the growth of thermophilic bacteria by one or two days. The seeding of bacteria alone was ineffective for thermophilic bacterial development and the rapid increase of total thermophilic bacterial count was obtained by mixed seeding of yeasts and bacteria. Moreover, the bacterial growth was accelerated by the addition of yeasts alone. It was revealed that the yeasts removed organic acids from the food waste at the initial period and consequently induced the growth of thermophilic bacteria. The results presented in this paper indicate the indispensable role of yeasts for thermophilic process of food waste composting.