• 한국토양비료학회지
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• 제40권3호
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• pp.221-228
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• 2007

제주도 토양의 분포특성을 객관적으로 파악하기 위하여 인접정도 및 해발고도별 토양통의 분포를 GIS기법을 이용하여 정량화하고 이를 바탕으로 통계분석을 실시하였다. 토양통 간의 인접정도는 각 통별 경계의 인접비율로 나타내었고 이를 토양통의 고유특성으로 파악하여 군집분석을 실시한 결과 5개의 군집으로 분류할 수 있었고, 이러한 결과는 정밀토양도에서 토색별로 4개의 토양군으로 구분한 분류체계와 유사한 결과였다. 정밀토양도에서는 토색, 해발고도, 토양의 화학적 특성 등 다양한 근거로 분류하였으나 이번 연구에서는 인접성 한 개의 기준으로 분류한 것으로 인접정도의 관점에서 볼 때 관행의 분류체계가 합리적일 수 있음을 의미하고 있다. 해발고도별 토양통 분포면적으로부터 토양통의 대표해발고도를 수치화할 수 있었고, 이를 바탕으로 토양통간 해발고도별 분포순서를 정할 수 있었다. 분포순서는 한라산의 정상에서 4면의 해안방향으로 갈색산림토 - 흑색토 - 농암갈색토 - 암갈색토의 순서로 토양이 연쇄되고 있어, 제주도 토양의 생성과정과 밀접하게 연관되는 것으로 추정되었다.

• 한국의류학회지
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• 제21권1호
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• pp.194-205
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• 1997

The typical instrumental assessment of ununiform natural soils has been carried out by yellowing of the specimens instead of the surface reflectance or the calculated formula. However, the regular instrumental area of sample holder is necessary for the measure of yellowing. Therefore, this study attempted to apply image analysis which had full color image by scanning of one time without limitation of instrumental area. The test samples were analyzed pseudo and full color image. This paper evaluated soil with hue of yellowing and gradation of gray level with color image analysis. Then, it was studied propriety of image analysis with correlation of yellowing, hue and gray level. Ultimately, the proposed image analysis in this paper was advanced method against the typical instrumental assessment.

• 한국환경과학회지
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• 제19권5호
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• pp.533-541
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• 2010

The purpose of this study is to grasp what characterizes the vegetation base of the natural forest as a latent vegetation in the middle region of Korea and thus to offer basic data when improving the vegetation base in the middle region being built or to be built in the future. The findings of this soil section survey show the following: The soil is brown to red color soil group on the whole. In addition, the soil's physical features like soil hardness are rated as high level, which results from the fact that the forest soil exits in its natural form under less influence of stamping. The pH of soil shows a weak acidity, like Korean normal soil. Specific electrical conductance is also rated as middle to high level in accordance with the standards of landscape architecture. The Salix koreensis community and the Pinus rigida community are different from other communities in terms of total nitrogen, available phosphate and exchangeable $K^+$ content. Specifically, the two communities are opposed to each other in terms of total nitrogen and available phosphate, while being similar to each other in terms of available phosphate and exchangeable $K^+$ content. This seems to result from the fact that they are located near each other. In addition, the two communities are characterized by the fact that they are distributed at the altitude mean relatively lowest and in the valley. To sum up, the forest soil around Goesan Gun is of middle level on the whole according to the landscape standards, when judging it in terms of vegetation base. Accordingly, it seems that the construction of the vegetation base around Goesan Gun will not require large investment expenses for soil improvement. Also, it seems that the spatial scope of research is needed to expand the basic data on the construction of the vegetation base for the whole middle region of Korea.

• 한국환경농학회:학술대회논문집
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• 한국환경농학회 2011년도 30주년 정기총회 및 국제심포지엄
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• pp.177-187
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• 2011

This study was conducted to determine some physical and chemical properties of the soil and their relationship to spectroscopic-based (visible range) analytical methods while evaluating soil organic matter fractions and soil quality in degraded and non-degraded soils in a wide range of environments. Soil samples were collected from the different landscape positions of cultivated and noncultivated soils, and the latter from the same landscape positions but with different vegetation, at Songco, Lantapan, Bukidnon. The physical and chemical properties of the soils were determined at the SPAL, CMU, Musuan, Bukidnon while the metagenomic properties were determined at the Laboratory of the University of Missourri, Missourri, USA. Bulk density and air dry soil strength values of the soils from the cultivated areas were generally higher than those of the uncultivated areas. Also, soils at the summit generally had lower bulk density and soil strength values than the other landscape positions. Moreover, soils planted to camote (Ipomoea batatas) had higher bulk density and soil strength values compared to soils grown to pepper under the trees. Exchangeable calcium (Ca), magnesium (Mg), and potassium (K) and cation exchange capacity (CEC) of the soils were generally higher in uncultivated areas than those of the cultivated areas. A similar trend was observed for the potassium permanganate ($KMnO_4$)-oxidizable organic C contents determined by spectroscopic method and the total C contents determined by the Walkley-Black method. The $KMnO_4$-oxidizable organic C contents determined by spectroscopic method and the total C contents determined by the Walkley-Black method were closely related ($r=0.631^{**}$). Hence, the former method shows promise in assessing soil quality as it is a rapid test, relatively low cost and can be distributed as a field kit either with a portable spectrometer or with a color chart.

• 한국농공학회논문집
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• 제66권4호
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• pp.27-39
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• 2024

Soil texture is determined by the proportions of sand, silt, and clay within the soil, which influence characteristics such as porosity, water retention capacity, electrical conductivity (EC), and pH. Traditional classification of soil texture requires significant sample preparation including oven drying to remove organic matter and moisture, a process that is both time-consuming and costly. This study aims to explore an alternative method by developing an AI model capable of predicting soil texture from images of pre-sorted soil samples using computer vision and deep learning technologies. Soil samples collected from agricultural fields were pre-processed using sieve analysis and the images of each sample were acquired in a controlled studio environment using a smartphone camera. Color distribution ratios based on RGB values of the images were analyzed using the OpenCV library in Python. A convolutional neural network (CNN) model, built on PyTorch, was enhanced using Digital Image Processing (DIP) techniques and then trained across nine distinct conditions to evaluate its robustness and accuracy. The model has achieved an accuracy of over 80% in classifying the images of pre-sorted soil samples, as validated by the components of the confusion matrix and measurements of the F1 score, demonstrating its potential to replace traditional experimental methods for soil texture classification. By utilizing an easily accessible tool, significant time and cost savings can be expected compared to traditional methods.

• Current Research on Agriculture and Life Sciences
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• 제1권
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• pp.113-140
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• 1983

This is a study on a landscape planning along the street 1~4, which are gateways to Taegu city and an important scenery. Therefore, emphasis was given to provide a bright, clean and beautiful first impression to visitors and citizens. The area is being developed for education and athletic park. Plans to construct a fountain, pergolas and a pond were set up to complement the active and passive facilities to the existing a athletic facilities in the area. Since D part in the area have alkali soil (pH 8.1), soil amendment is necessary for successful growth of trees and ground covers. When the area is filled or added with new soil for soil amendment, it will be important to use fresh soil which can support plant growth. It will be ideal to use ground covers and shrubs on the existing retaining walls along the street for keeping natural vegetation and slope stability instead of further cutting and reconstruction. It is not reasonable in technical and economic sense to remove rocks of the slope for planting trees. In order to harmonize plant color distribute, tall needle and broad leaf trees in the background as a screen, flowering trees were arranged in groups at front, and annuals were mass-planted along the footway. Natural-form-trees will be planted because they not only serve as a greenbelt but also are more economics in maintenance than formative trees.

• 한국지하수토양환경학회지:지하수토양환경
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• 제21권3호
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• pp.1-5
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• 2016

Rhodamine B Hydrazide as a novel fluorescent and colorimetric probe exhibiting remarkably selective fluorescence enhancement toward Hg²⁺ ion over other 16 metal ions is herein introduced. The probe reacts with Hg²⁺ ion followed by its spirolactam ring-opening to give a remarkable enhancement of absorption maximum at 550 nm as well as an enhanced fluorescence intensity at 580 nm in aqueous media. Upon titration with Hg²⁺ ion in various concentration of 10~200 uM, we found that the probe shows a marked color change from colorless to pink, enabling naked-eye detection toward mercury ion. In addition, in the presence of Hg²⁺ ion, the probe gave rise to change from non-florescence to strong orange fluorescence (Off-On) with a good linearity of R²=0.97. This preliminary results demonstrate that the fluorescent chemosensor we herein introduced can open a new strategy for marked selective and sensitive detection of mercury ions in contaminated soil containing various metal ions.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2003년도 총회 및 춘계학술발표회
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• pp.180-183
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• 2003

Recently, the pollution of soil and groundwater becomes a serious social problem, and geophysical exploration methods have been introduced as a remedial investigation method of subsurface. Digital technologies such as personal computer have revolutionized our ability to acquire large volumes of data in a short term, and to produce more reliable results for subsurface image. Also, color graphics easily visualizes the survey results in a more understandable manner, and it is widely used for not only characterizing the contaminated subsurface but also monitoring contaminant and remedial process. In this paper, electrical resistivity survey were carried out In order to understand characteristics of waste landfills, and the applicability of geophysical prospecting to site assessment of waste landfill was also tested. According to the result, electrical resistivity survey were effective in estimating distribution of the leachate plume.

• 한국균학회지
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• 제51권4호
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• pp.373-381
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• 2023

This study aimed to isolate and characterize wild yeast strains from the vineyard soil in Korea. Twenty yeast strains were isolated from vineyard soil in Gimpo-si, Gyeonggi-do, Korea, where Vitis labrusca cv. Campbell Early is grown. Eighteen strains were previously recorded in Korea. The remaining two, Cyberlindnera mrakii VG-21-10C and Starmerella bacillaris GR9 were not previously recorded in Korea. The mycological characteristics of VG-21-10C and GR9 were investigated. Both were oval-shaped, convex, and smooth. However, differences were evident in colony color and carbon assimilation activities. Strain VG-21-10C is white-colored and assimilates glucose, glycerol, D-xylose, D-cellobiose, D-saccharose, and D-raffinose as carbon sources. Strain GR9 is cream-colored and assimilates glucose, D-saccharose, and D-raffinose as carbon sources.

• 한국지구과학회지
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• 제25권8호
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• pp.764-773
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• 2004

산불지역 토양의 침식양상을 구분하기위하여 강원도 강릉시 사천면 일대의 산불지역 토양을 조사하였다. 토양은 유기물의 분포양상 및 토양층의 두께, 토양층 발달의 완전성(성숙도)를 근거로 5개 유형으로 구분하였다. 침식 현상은 토양의 유형에 따라 다르게 나타났다. 나뭇잎, 낙엽층, 뿌리, 재 그 밖의 유기물의 피복이 토양의 색과 영상 이미지 반사에 영향을 미치는 중요한 요인이었다. 침식양상의 차이를 보이는 5개 유형의 토양의 Landsat ETM 영상은 토양 유형별로 상이한 반사특성을 보였다. 산불지역 토양의 정규식생지수(NDVI)와 무감독 분류는 토양유형에 따른 Landsat ETM 영상 차이를 잘 반영하기 못하였으나, 최대우도법에 의한 감독분류 기법의 적용시 산불지역에서 침식형태에 따른 토양유형 구분이 가능하였다. 본 연구는 산불지역에서 침식현상을 파악하고 예측하는데 Landsat ETM 영상의 활용이 매우 효과적임을 보여주었다.