A comprehensive review of soil organic carbon estimates: Integrating remote sensing and machine learning technologies

T Li, L Cui, M Kuhnert, TI McLaren, R Pandey… - Journal of Soils and …, 2024 - Springer
Purpose Accurately assessing soil organic carbon (SOC) content is vital for ecosystem
services management and addressing global climate challenges. This study undertakes a …

A critical systematic review on spectral-based soil nutrient prediction using machine learning

S Jain, D Sethia, KC Tiwari - Environmental Monitoring and Assessment, 2024 - Springer
Abstract The United Nations (UN) emphasizes the pivotal role of sustainable agriculture in
addressing persistent starvation and working towards zero hunger by 2030 through global …

Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy

Y Hong, Y Liu, Y Chen, Y Liu, L Yu, Y Liu, H Cheng - Geoderma, 2019 - Elsevier
The spectral preprocessing method has become an integral component of soil analysis
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …

Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared …

Y Hong, S Chen, Y Liu, Y Zhang, L Yu, Y Chen, Y Liu… - Catena, 2019 - Elsevier
Visible and near-infrared (Vis–NIR) spectroscopy is used to estimate soil organic matter
(SOM). Spectral preprocessing techniques and multivariate modeling methods play …

Combining fractional order derivative and spectral variable selection for organic matter estimation of homogeneous soil samples by VIS–NIR spectroscopy

Y Hong, Y Chen, L Yu, Y Liu, Y Liu, Y Zhang, Y Liu… - Remote Sensing, 2018 - mdpi.com
Visible and near-infrared (VIS–NIR) spectroscopy has been extensively applied to estimate
soil organic matter (SOM) in the laboratory. However, if field/moist VIS–NIR spectra can be …

Long-term effects of inorganic fertilizer and farmyard manure application on productivity, sustainability and profitability of rice-wheat system in Mollisols

DK Singh, PC Pandey, G Nanda… - Archives of Agronomy and …, 2019 - Taylor & Francis
In this investigation, productivity, sustainability and profitability of rice-wheat system were
evaluated using the data of a long-term fertility experiment initiated during 1984 at …

Evaluation of data pre-processing and regression models for precise estimation of soil organic carbon using Vis–NIR spectroscopy

Y Wang, S Yang, X Yan, C Yang, M Feng… - Journal of Soils and …, 2023 - Springer
Purpose Rapid and accurate estimation of soil organic carbon (SOC) based on near-infrared
spectroscopy can assist sustainable agricultural developments in the future. Methods In this …

Visible-near infrared reflectance spectroscopy for rapid characterization of salt-affected soil in the Indo-Gangetic Plains of Haryana, India

R Srivastava, M Sethi, RK Yadav, DS Bundela… - Journal of the Indian …, 2017 - Springer
Management of salt-affected soils is a challenging task in the input intensive rice-wheat
crop** zone of the Indo-Gangetic plains (IGP). Timely detection of salt-affected areas and …

[HTML][HTML] Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review

N Vullaganti, BG Ram, X Sun - Artificial Intelligence in Agriculture, 2025 - Elsevier
Amidst the growing food demands of an increasing population, agricultural intensification
frequently depends on excessive chemical and fertilizer applications. While this approach …

Carbon dynamics in salt-affected soils

A Datta, R Setia, A Barman, Y Guo, N Basak - Research developments in …, 2019 - Springer
Salinity and sodicity are major constraints for crop production in arid and semiarid regions of
the world. Soil fertility and atmospheric carbon dioxide (CO 2) concentrations are strongly …