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 …

Machine learning‐enabled smart sensor systems

N Ha, K Xu, G Ren, A Mitchell… - Advanced Intelligent …, 2020 - Wiley Online Library
Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …

From laboratory to proximal sensing spectroscopy for soil organic carbon estimation—A review

T Angelopoulou, A Balafoutis, G Zalidis, D Bochtis - Sustainability, 2020 - mdpi.com
Rapid and cost-effective soil properties estimations are considered imperative for the
monitoring and recording of agricultural soil condition for the implementation of site-specific …

The role of soils in regulation and provision of blue and green water

S Keesstra, S Sannigrahi… - … of the Royal …, 2021 - royalsocietypublishing.org
The United Nations Sustainable Development Goal 6 aims for clean water and sanitation for
all by 2030, through eight subgoals dealing with four themes:(i) water quantity and …

Combining chemometrics and sensors: Toward new applications in monitoring and environmental analysis

J Chapman, VK Truong, A Elbourne… - Chemical …, 2020 - ACS Publications
For many years, an extensive array of chemometric methods have provided a platform upon
which a quantitative description of environmental conditions can be obtained. Applying …

Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection

C Lao, J Chen, Z Zhang, Y Chen, Y Ma, H Chen… - … and Electronics in …, 2021 - Elsevier
This study aimed to improve the potential of visible-near infrared (VIS-NIR) spectroscopy in
predicting the contents of salt and major soluble ions in the topsoil at Hetao Irrigation District …

Evaluation of airborne hyspex and spaceborne PRISMA hyperspectral remote sensing data for soil organic matter and carbonates estimation

T Angelopoulou, S Chabrillat, S Pignatti, R Milewski… - Remote Sensing, 2023 - mdpi.com
Remote sensing and soil spectroscopy applications are valuable techniques for soil property
estimation. Soil organic matter (SOM) and calcium carbonate are important factors in soil …

A method of soil moisture content estimation at various soil organic matter conditions based on soil reflectance

T Li, T Mu, G Liu, X Yang, G Zhu, C Shang - Remote Sensing, 2022 - mdpi.com
Soil moisture is one of the most important components of all the soil properties affecting the
global hydrologic cycle. Optical remote sensing technology is one of the main parts of soil …

Rapid determination of cellulose and hemicellulose contents in corn stover using near-infrared spectroscopy combined with wavelength selection

N Wang, J Feng, L Li, J Liu, Y Sun - Molecules, 2022 - mdpi.com
The contents of cellulose and hemicellulose (C and H) in corn stover (CS) have an important
influence on its biochemical transformation and utilization. To rapidly detect the C and H …

Simultaneous prediction of several soil properties related to engineering uses based on laboratory Vis-NIR reflectance spectroscopy

M Davari, SA Karimi, HA Bahrami, SMT Hossaini… - Catena, 2021 - Elsevier
The conventional methods for measuring soil properties are time-consuming and expensive.
Over the past few decades, reflectance spectroscopy has been widely applied as a rapid …