Technical Note: Regression Analysis of Proximal Hyperspectral Data to Predict Soil pH and Olsen P

Miles Grafton, Therese Kaul, Alan Palmer, Peter Bishop and Michael White
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Miles Grafton: School of Agriculture and Environment, Massey University, Private Bag, Palmerston North 4442, New Zealand
Therese Kaul: School of Agriculture and Environment, Massey University, Private Bag, Palmerston North 4442, New Zealand
Alan Palmer: School of Agriculture and Environment, Massey University, Private Bag, Palmerston North 4442, New Zealand
Peter Bishop: School of Agriculture and Environment, Massey University, Private Bag, Palmerston North 4442, New Zealand
Michael White: Ravensdown Fertiliser Ltd., P.O. Box 1049, Christchurch 8042, New Zealand

Agriculture, 2019, vol. 9, issue 3, 1-18

Abstract: This work examines two large data sets to demonstrate that hyperspectral proximal devices may be able to measure soil nutrient. One data set has 3189 soil samples from four hill country pastoral farms and the second data set has 883 soil samples taken from a stratified nested grid survey. These were regressed with spectra from a proximal hyperspectral device measured on the same samples. This aim was to obtain wavelengths, which may be proxy indicators for measurements of soil nutrients. Olsen P and pH were regressed with 2150 wave bands between 350 nm and 2500 nm to find wavebands, which were significant indicators. The 100 most significant wavebands for each proxy were used to regress both data sets. The regression equations from the smaller data set were used to predict the values of pH and Olsen P to validate the larger data set. The predictions from the equations from the smaller data set were as good as the regression analyses from the large data set when applied to it. This may mean that, in the future, hyperspectral analysis may be a proxy to soil chemical analysis; or increase the intensity of soil testing by finding markers of fertility cheaply in the field.

Keywords: regression analysis; soil fertility; correlation; statistical analysis; soil testing (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2019
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