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 …

Advances in mid-infrared spectroscopy for chemical analysis

J Haas, B Mizaikoff - Annual Review of Analytical Chemistry, 2016 - annualreviews.org
Infrared spectroscopy in the 3–20 μm spectral window has evolved from a routine laboratory
technique into a state-of-the-art spectroscopy and sensing tool by benefitting from recent …

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

W Ng, B Minasny, M Montazerolghaem, J Padarian… - Geoderma, 2019 - Elsevier
No single instrument can characterize all soil properties because soil is a complex material.
With the advancement of technology, laboratories have become equipped with various …

A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra

AC Dotto, RSD Dalmolin, A ten Caten, S Grunwald - Geoderma, 2018 - Elsevier
Soil organic carbon (SOC) plays a crucial role as an ecosystems indicator. Its quantification
requires an affordable, and less time-consuming method. Visible and near infrared (Vis-NIR) …

The Brazilian soil spectral library (BSSL): A general view, application and challenges

JAM Demattê, AC Dotto, AFS Paiva, MV Sato… - Geoderma, 2019 - Elsevier
The present study was developed in a joint partnership with the Brazilian pedometrics
community to standardize and evaluate spectra within the 350–2500 nm range of Brazilian …

Estimation of soil organic matter content using selected spectral subset of hyperspectral data

W Sun, S Liu, X Zhang, Y Li - Geoderma, 2022 - Elsevier
Soil organic matter (SOM) content plays an important role in the global carbon cycle and
agricultural activities. Reflectance spectroscopy has been recognized as a promising …

Data mining of urban soil spectral library for estimating organic carbon

Y Hong, Y Chen, S Chen, R Shen, B Hu, J Peng… - Geoderma, 2022 - Elsevier
Accurate quantification of urban soil organic carbon (SOC) is essential for understanding
anthropogenic changes and further guiding effective city managements. Visible and near …

Transfer learning to localise a continental soil vis-NIR calibration model

J Padarian, B Minasny, AB McBratney - Geoderma, 2019 - Elsevier
The rapid development in NIR and information technologies saw the development of various
initiatives that have generated large scale databases of soil spectroscopy globally. Models …

Prediction of soil physical and chemical properties by visible and near-infrared diffuse reflectance spectroscopy in the central Amazon

ÉFM Pinheiro, MB Ceddia, CM Clingensmith… - Remote Sensing, 2017 - mdpi.com
Visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of
accuracy comparable to conventional laboratory methods for estimating soil properties. Soil …

Spectral prediction of soil salinity and alkalinity indicators using visible, near-, and mid-infrared spectroscopy

L Lotfollahi, MA Delavar, A Biswas, S Fatehi… - Journal of …, 2023 - Elsevier
Drought and the impacts of climate change have led to an escalation in soil salinity and
alkalinity across various regions worldwide, including Iran. The Chahardowli Plain in …