Deep-C storage: Biological, chemical and physical strategies to enhance carbon stocks in agricultural subsoils

ES Button, J Pett-Ridge, DV Murphy, Y Kuzyakov… - Soil Biology and …, 2022 - Elsevier
Due to their substantial volume, subsoils contain more of the total soil carbon (C) pool than
topsoils. Much of this C is thousands of years old, suggesting that subsoils offer …

Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances–A review

I Barra, SM Haefele, R Sakrabani, F Kebede - TrAC Trends in Analytical …, 2021 - Elsevier
Over the past two decades soil spectroscopy, particularly, in the infrared range, is becoming
a powerful technique to simplify analysis relative to the traditional chemical methods. It is …

Mid-infrared spectroscopy for accurate measurement of an extensive set of soil properties for assessing soil functions

W Ng, B Minasny, SH Jeon, A McBratney - Soil Security, 2022 - Elsevier
Quantitative assessment of soil functions requires the characterization of soil capability and
condition. Mid-infrared (MIR) spectroscopy has been suggested as a viable alternative to the …

[HTML][HTML] Spectral fusion modeling for soil organic carbon by a parallel input-convolutional neural network

Y Hong, S Chen, B Hu, N Wang, J Xue, Z Zhuo, Y Yang… - Geoderma, 2023 - Elsevier
Abstract Visible-to-near-infrared (vis–NIR) and mid-infrared (MIR) spectroscopy have been
widely utilized for the quantitative estimation of soil organic carbon (SOC). The fusion of vis …

Application of near-infrared spectroscopy to agriculture and forestry

S Tsuchikawa, T Ma, T Inagaki - Analytical Sciences, 2022 - Springer
Depending on the uniformity of the quality attribute within agricultural products, there is often
a need to develop non-destructive and efficient evaluation methods to assure their qualities …

Evaluation and Prediction of Topsoil organic carbon using Machine learning and hybrid models at a Field-scale

HR Matinfar, Z Maghsodi, SR Mousavi, A Rahmani - Catena, 2021 - Elsevier
Digital mapping of soil organic carbon (SOC) is crucial to evaluate its spatial variability and
also to assess environmental factors controlling it at field scale. The current study was …

The cost‐effectiveness of reflectance spectroscopy for estimating soil organic carbon

S Li, RA Viscarra Rossel… - European Journal of Soil …, 2022 - Wiley Online Library
Reflectance spectra of soil can be used to estimate the concentrations of organic carbon in
soil (SOC). The estimates are more or less imprecise, but spectroscopy is quicker, less …

Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination …

Y Hong, L Guo, S Chen, M Linderman, AM Mouazen… - Geoderma, 2020 - Elsevier
Estimating soil organic carbon (SOC) in topsoil can help improve soil quality and food
production. This study aimed to explore the potential of airborne hyperspectral image to …

[HTML][HTML] Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping

S Chen, NPA Saby, MP Martin, BG Barthes, C Gomez… - Geoderma, 2023 - Elsevier
Digital soil mapping has been increasingly advocated as an efficient approach to deliver fine-
resolution and up-to-date soil information in evaluating soil ecosystem services. Considering …

Prediction of soil organic matter content based on characteristic band selection method

S Xie, F Ding, S Chen, X Wang, Y Li, K Ma - Spectrochimica Acta Part A …, 2022 - Elsevier
Soil organic matter (SOM) is a key index for evaluating soil fertility and plays a vital role in
the terrestrial carbon cycle. Visible and near-infrared (Vis-NIR) spectroscopy is an effective …