• DocumentCode
    2870282
  • Title

    Computer aided determination of proportion of sand in a soil

  • Author

    Gok, Hasan ; Orhan, Umut

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Cukurova Univ., Adana, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    1276
  • Lastpage
    1279
  • Abstract
    Determination of soil texture has always been very important for agricultural researches. Since determination of proportions of sand, silt, and clay in a soil by traditional methods requires more effort, in this study, we focus on performing soil analysis by an automated computerized system. First some features are extracted by applying curve fitting method on time signals measured by a light sensor circuit injected to the traditional hydrometer method, and then these features are used as input in a linear regression model. The obtained results showed that in spite of the limited number of experiments performed, such a system may be useful in determination of proportion of sand in a soil.
  • Keywords
    computer aided analysis; curve fitting; feature extraction; geophysical techniques; regression analysis; sand; soil; computer aided determination; curve fitting method; feature extraction; light sensor circuit; linear regression model; sand proportion; soil texture; Curve fitting; Feature extraction; Laser applications; Mathematical model; Soil measurements; Soil texture; curve fitting; hydrometer; light sensor; linear regression; soil texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130071
  • Filename
    7130071