Vis-nir reflectance spectroscopy as an alternative method for rapid estimation of soil available potassium

Mondal, Bhabani Prasad; Sekhon, B. S.; Paul, Padma; Barman, Arijit; Chattopadhyay, Arghya; Mridha, Nilimesh

doi:10.5958/0974-0228.2021.00009.8

Journal of the Indian Society of Soil Science

2020

DOI: 10.5958/0974-0228.2021.00009.8

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Vis-nir reflectance spectroscopy as an alternative method for rapid estimation of soil available potassium

Bhabani Prasad Mondal¹,

B. S. Sekhon²,

Padma Paul³

et al.

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“…Therefore, soil analysis techniques should be very fast and accurate for quantifying a large number of samples in a very short period of time (Shepherd and Walsh 2002). Visible-Near Infrared (VIS-NIR) reflectance spectroscopic technique coupled with statistical multivariate modelling is a suitable alternative which has obtained its popularity because of its rapid predictability for several nutrients like soil organic carbon, nitrogen, phosphorus, potassium and other nutrients (Peng et al 2014, Xu et al 2018, Mondal et al 2020). However, very limited studies have been conducted for the prediction of soil available S by using VIS-NIR spectroscopy (Chodak et al 2001).…”

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Rapid prediction of soil available sulphur using visible near-infrared reflectance spectroscopy

et al. 2021

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Rapid and accurate prediction of soil available S, an important secondary nutrient, is crucial for its site-specific management in a cultivated region. Although traditional chemical analysis of any nutrient is an accurate method, but often costly, time-consuming and destructive in nature. Recently visible near-infrared (VIS-NIR) reflectance spectroscopic technique has gained its popularity for rapid, non-destructive and cost-effective assessment of soil nutrients. Hence, a study was carried out in an intensively cultivated region of Katol block of Nagpur, Maharashtra, during 2018-20 for rapid prediction of soil available S using spectroscopic technique. Both spectroscopic and chemical analyses were carried out using 132 georeferenced surface soil samples (0-15 cm depth). The descriptive statistical analysis showed that the available S content varied from 1.09 to 47.88 mg/kg. Multivariate models namely partial least square regression (PLSR) and random forest (RF) were applied to develop spectral models for S prediction from spectral dataset. Several statistical diagnostics like coefficient of determination (R2), root mean square error (RMSE), ratio of performance deviation (RPD) and ratio of performance to interquartile distance (RPIQ) were used to evaluate the performances of two models. The best prediction of S was achieved from nonlinear RF model (R2 = 0.71, RMSE = 8.86, RPD =1.18, RPIQ = 1.69) as compared to linear PLSR model (R2 = 0.53, RMSE = 9.04, RPD = 1.16, RPIQ = 1.66) datasets. Therefore, the result suggested applying non-linear multivariate model (RF) for obtaining best predictability for S from spectroscopic technique.

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Rapid prediction of soil available sulphur using visible near-infrared reflectance spectroscopy

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Biochar as Soil Amendment: The Effect of Biochar on Soil Properties Using VIS-NIR Diffuse Reflectance Spectroscopy, Biochar Aging and Soil Microbiology—A Review

Tsolis,

Barouchas

2023

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This literature review explores the assessment of biochar quality and its impact on soil properties using diffuse reflectance spectroscopy. Biochar, a product of biomass pyrolysis, is recognized for its positive effects on soil fertility and carbon sequestration. This review emphasizes the need for systematic research on biochar stability and highlights the potential of diffuse reflectance spectroscopy for analyzing soil–biochar interactions. Biochar acts as a soil conditioner, improving physical, chemical, and biological properties and enhancing soil fertility and crop yield. Furthermore, it aids in mitigating climate change by sequestering carbon dioxide. However, the long-term behavior of biochar and its interactions with various factors require further field research for optimal utilization, as the aging process of biochar in soil is complex, involving physical, chemical, and biological interactions that influence its impact on the agroecosystem. This review also emphasizes the importance of studying the interaction between biochar and soil microbes, as it plays a crucial role in enhancing soil fertility and plant resistance to pathogens. However, research on this interaction is limited. VIS-NIR spectroscopy is a valuable tool for monitoring biochar application to soil. Nevertheless, controversial results highlight the intricate interactions between biochar, soil, and environmental conditions.

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Vis-nir reflectance spectroscopy as an alternative method for rapid estimation of soil available potassium

Cited by 2 publications

References 1 publication

Rapid prediction of soil available sulphur using visible near-infrared reflectance spectroscopy

Rapid prediction of soil available sulphur using visible near-infrared reflectance spectroscopy

Biochar as Soil Amendment: The Effect of Biochar on Soil Properties Using VIS-NIR Diffuse Reflectance Spectroscopy, Biochar Aging and Soil Microbiology—A Review

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