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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.48 No.4
- 발행연도
- 2021.12
- 수록면
- 891 - 897 (7page)
이용수
초록· 키워드
오류제보하기
There is a need for a technology that can quickly and accurately analyze soil carbon contents. Existing soil carbon analysis methods are cumbersome in terms of professional manpower requirements, time, and cost. It is against this background that the present study leverages the soil physical properties of color and water content levels to develop a model capable of predicting the carbon content of soil sample. To predict the total carbon content of soil, the RGB values, water content of the soil, and lux levels were analyzed and used as statistical data. However, when R, G, and B with high correlations were all included in a multiple regression analysis as independent variables, a high level of multicollinearity was noted and G was thus excluded from the model. The estimates showed that the estimation coefficients for all independent variables were statistically significant at a significance level of 1%. The elastic values of R and B for the soil carbon content, which are of major interest in this study, were -2.90 and 1.47, respectively, showing that a 1% increase in the R value was correlated with a 2.90% decrease in the carbon content, whereas a 1% increase in the B value tallied with a 1.47% increase in the carbon content. Coefficient of determination (R²), root mean square error (RMSE), and mean absolute percentage error (MAPE) methods were used for regression verification, and calibration samples showed higher accuracy than the validation samples in terms of R² and MAPE.
목차
Abstract
Introduction
Materials and Methods
Results and Discussion
Conclusion
References
참고문헌 (17)
참고문헌 신청
M.J. Bell / 2009 / Estimating a region's soil organic carbon baseline: The undervalued role of land-management / Geoderma 152(1-2):74~84
Brady NC / 2008 / The nature and properties of soils / Pearson prentice hall
Cho MK / 2013 / Method comparison of soil organic carbon measurement : Wet-oxidation & dry combustion method / Korean Journal of Environmental Agriculture 2013:318
최은정 / 2017 / Analysis of research trends in methane emissions from rice paddies in Korea / Korean Journal of Agricultural Science 44(4):463~476
Chung JB / 2006 / Soil Science / Hyangmunsa :89~93
Brady NC / 2008 / The nature and properties of soils / Pearson prentice hall
Cho MK / 2013 / Method comparison of soil organic carbon measurement : Wet-oxidation & dry combustion method / Korean Journal of Environmental Agriculture 2013:318
최은정 / 2017 / Analysis of research trends in methane emissions from rice paddies in Korea / Korean Journal of Agricultural Science 44(4):463~476
Chung JB / 2006 / Soil Science / Hyangmunsa :89~93
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