مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

1,316
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

CAPABILITY OF VIS-NIR SPECTROSCOPY TO PREDICT SELECTED CHEMICAL SOIL PROPERTIES IN ISFAHAN PROVINCE

Pages

  81-91

Abstract

 Vis-NIR SPECTROSCOPY has been introduced as a non-destructive, fast, and cheap technique, with minimal sample preparation and no loss or damage to the environment. No investigation has yet been carried out to examine the ability of this method to estimate soil properties in Iran. The objective of this research was to investigate the capability of VIS-NIR SPECTROSCOPY to predict the amount of ORGANIC MATTER, carbonate and GYPSUM in surface soils of Isfahan province. A total of 248 surface soil samples were collected from the study area. Soil ORGANIC MATTER content, GYPSUM and CARBONATES percentages were measured by standard laboratory methods. Soil spectral analyses were performed by a field spectrometer using 350-2500 nm wavelength range. Different pre-processing methods were evaluated after recording the spectra. Partial least squares regression was used to predict soil parameters. R2 values for ORGANIC MATTER, CARBONATES and GYPSUM were 0.61, 0.45 and 0.8, respectively. Based on RPD (Ratio of Prediction to Deviation) values, the precision of prediction model for GYPSUM was quite good, and acceptable for ORGANIC MATTER, whereas the prediction of the model for soil CARBONATES was poor. Consequently, VIS-NIR SPECTROSCOPY is capable of predicting some soil properties simultaneously and the model accuracy is acceptable.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    KHAYAMIM, F., KHADEMI, H., STENBERG, B., & WETTERLIND, J.. (2015). CAPABILITY OF VIS-NIR SPECTROSCOPY TO PREDICT SELECTED CHEMICAL SOIL PROPERTIES IN ISFAHAN PROVINCE. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 19(72), 81-91. SID. https://sid.ir/paper/14819/en

    Vancouver: Copy

    KHAYAMIM F., KHADEMI H., STENBERG B., WETTERLIND J.. CAPABILITY OF VIS-NIR SPECTROSCOPY TO PREDICT SELECTED CHEMICAL SOIL PROPERTIES IN ISFAHAN PROVINCE. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2015;19(72):81-91. Available from: https://sid.ir/paper/14819/en

    IEEE: Copy

    F. KHAYAMIM, H. KHADEMI, B. STENBERG, and J. WETTERLIND, “CAPABILITY OF VIS-NIR SPECTROSCOPY TO PREDICT SELECTED CHEMICAL SOIL PROPERTIES IN ISFAHAN PROVINCE,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 19, no. 72, pp. 81–91, 2015, [Online]. Available: https://sid.ir/paper/14819/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button