Studying sand component of soil texture using the spectroscopic method

Fractional-order Savitzky–Golay filter for pre-treatment of on-line vis–NIR spectra to predict phosphorus in soil

“…Since the RLFOD exhibits a feature, in which FOD (α is not an integer) of a constant is non-zero, it results in a counter-intuitive result wherein the α th derivative of the constant term in a fitted polynomial is non-zero when α > 1. MRLFOSGF using formula (5) would have zero values in the first column corresponding to the constant terms in an polynomial if the derivative order is greater than 1. Similarly, when using a non-integer-order derivative that is larger than the second order, both the constant and first term of the fitted polynomial would be zero since the first two columns of 𝑀 𝛼 𝑀𝑅𝐿𝐹𝑂𝑆𝐺𝐹 are zero.…”

“…Therefore, innovative in situ soil sensors have been developed using advanced spectral technologies to achieve rapid, quantitative and non-invasive measurements. Visible-near-infrared (vis-NIR) spectroscopy is one of the most adopted spectral techniques for in situ soil scanning because it is fast, cost-effective and robust and allows for the quantification of several key soil fertility attributes, simultaneously [3][4][5]. Its sampling scale is very fine (e.g.…”

Prediction of soil textural constituents using reflected spectra in eastern Mazandaran Province

“…Particularly soil textural components play an influential and essential role in soil conservation especially in areas prone to all types of soil erosion (Ostovari et al, 2018). However, determination of soil forming components using the conventional laboratory methods is normally pricey, tiresome, timeconsuming and destructive to the environment, particularly at large scales (Bahrami et al, 2022;Peng et al, 2020). Hence, an agile, comfortable and highaccurate approach to study this soil characteristic is urgently required.…”

“…Peng et al, (2020) compared the methods of predicting soil properties using spectroscopy and resulted the good indices for spectral models for soil texture in China. Additionally, and Bahrami et al (2022) studied the capability of the vibrational reflectance spectroscopy to detect spectral signatures and behaviors of texture components in Iran with acceptable model parameters. Regarding the prediction of soil textural components, it has become a major trend to find quick, efficacious and uncomplicated methods.…”