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- Sarathjith, M.C., et al. Show all 5 Authors
- Computers and electronics in agriculture 2019 v.158 pp. 201-210
- algorithms; carbon; cation exchange capacity; clay; covariance; data collection; infrared spectroscopy; least squares; models; pH; prediction; sand fraction; wavelengths
- ... Infrared spectroscopy has been widely adopted by various agricultural research. The typical spectra variables contain thousands of wavelengths. These large number of spectra variables often contribute to collinearity, and redundancies rather than relevant information. Variable selection of the predictors is an important step to create a robust calibration model from these spectra data. This paper ...