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 …

Integration vis-NIR spectroscopy and artificial intelligence to predict some soil parameters in arid region: a case study of Wadi Elkobaneyya, South Egypt

MA El-Sayed, AH Abd-Elazem, ARA Moursy… - Agronomy, 2023 - mdpi.com
Understanding and determining soil properties is reflected in improving farm management
and crop production. Soil salinity, pH and calcium carbonate are among the factors affecting …

Q-method optimization of tunnel surrounding rock classification by fuzzy reasoning model and support vector machine

F Jiang, P He, G Wang, C Zheng, Z Xiao, Y Wu, Z Lv - Soft Computing, 2022 - Springer
This work aims to cope with the increasingly complex geological conditions in the process of
traffic tunnel construction in China, improve the stability of tunnel construction, and reduce …

Optimizing machine learning models for predicting soil pH and total P in intact soil profiles with visible and near-infrared reflectance (VNIR) spectroscopy

S Xu, Y Zhao, Y Wang - Computers and Electronics in Agriculture, 2024 - Elsevier
Abstract Machine learning (ML) models have recently been used in visible and near-infrared
reflectance (VNIR) spectroscopy applications. However, the predictive performance of ML …

Proximal soil sensing of low salinity in southern xinjiang, China

J Peng, S Li, RS Makar, H Li, C Feng, D Luo, J Shen… - Remote Sensing, 2022 - mdpi.com
Measuring the soil salinity using visible and near-infrared (vis–NIR) reflectance spectra is
considered a fast and cost-effective method. For monitoring purposes, estimating soils with …