of determining soil pH using visible and near-infrared
Department of Soil
Science and Plant Nutrition, Faculty of Agriculture, Uludag University,
Bursa, 16059, Turkey
Author E-mail: firstname.lastname@example.org
PLS regression analysis,
Paper received : 12.09.2016
Revised received : 25.06.2017
Accepted : 27.06.2017
Aim: The present study
was conducted to investigate possibility of using fiber-optic visible and
near-infrared (Vis-NIR) spectrophotometry for determining soil pH.
reflectance spectra of 272 soil samples taken at a depth of 0-20 cm from
cultivation soil in Bursa Province, Turkey, were measured in the laboratory
to determine soil pH. Before apartial least square (PLS) analysis of the
reflectance spectra values was conducted, all of them were randomly split
into calibration (70%) and validation (30%) sets. A model for the prediction
of soil pH from reflectance spectra values obtained from spectrophotometry
was established using PLS regression analyses with full cross-validation.
regression value (R2), root mean square error of prediction
(RMSEP) and residual prediction deviation (RPD) of established model were
found to be 0.69, 0.70%, and1.413,respectively.
Interpretation: The results
demonstrated a moderate level of success for the model in predicting soil pH.
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