Magazine of the Korean Society of Agricultural Engineers (한국농공학회지)

The Korean Society of Agricultural Engineers (한국농공학회)
권호 표지

디지털 이미지 프로세싱(Digital Image Processing) 기법을 이용한 토양 특성 예측 기술

  • 김동근 (서울대학교 농업생명과학연구원) ;
  • 박재성 (서울대학교 융합전공 글로벌스마트팜) ;
  • 김태진 (서울대학교 생태조경.지역시스템공학부) ;
  • 전지훈 (서울대학교 생태조경.지역시스템공학부) ;
  • 손영환 (서울대학교 조경.지역시스템공학부)
  • Published : 2021.08.28
Download PDF
⟨ Previous Next ⟩

Abstract

Keywords

References

  1. Choodum. A., Kanatharana. P., Wongniramaikul. W., Daeid. N.N., 2013. "Using the iPhone as a device for a rapid quantitativeanalysis of trinitrotoluene in soil." Talanta 115. 143-149. https://doi.org/10.1016/j.talanta.2013.04.037
  2. Dathe, A., Eins, S., Niemeyer, J., Gerold, G., 2001. "The surface fractal dimension of the soil-pore interface as measured by image analysis." Geoderma 103. 203-229. https://doi.org/10.1016/S0016-7061(01)00077-5
  3. Kim. D. G., 2020. "Prediction on physical properties of soil based on deep learning using digital image processing." Seoul National University.
  4. Mora, C., Kwan, A., Chan, H., 1998. "Particle size distribution analysis of coarse aggregate using digital image processing." Cement and Concrete Research 28. 921-932. https://doi.org/10.1016/S0008-8846(98)00043-X
  5. Ohm. H. S., & Hryciw. R. D., 2014. "Size distribution of coarse-grained soil by sedimaging." Journal of Geotechnical and Geoenvironmental Engineering, 140(4), 04013053. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001075
  6. Park. J. S., 2017. "Soil classification and characterization using unmanned aerial vehicle and digital image processing." Seoul National University.
  7. Persson, M., 2005. "Estimating surface soil moisture from soil color using image analysis." Vadose Zone Journal 4, 1119. https://doi.org/10.2136/vzj2005.0023
  8. Velde, B., 1999. "Structure of surface cracks in soil and muds." Geoderma 93, 101-124. https://doi.org/10.1016/S0016-7061(99)00047-6
  9. Viscarra Rossel, R.A., Minasny, B., Roudier, P., McBratney, A.B., 2006. "Colour space models for soil science." Geoderma 133, 320-337. https://doi.org/10.1016/j.geoderma.2005.07.017