Soil salinity and sodicity in drylands: A review of causes, effects, monitoring, and restoration measures

I Stavi, N Thevs, S Priori - Frontiers in Environmental Science, 2021 - frontiersin.org
Soil salinization and sodification are common processes that particularly characterize
drylands. These processes can be attributed either to natural conditions or anthropogenic …

[HTML][HTML] Soil health and its relationship with food security and human health to meet the sustainable development goals in India

BS Das, SP Wani, DK Benbi, S Muddu… - Soil Security, 2022 - Elsevier
Healthy soil is critical to human health and for achieving sustainable development goals
(SDGs). Although India attained self-sufficiency in food production, realising zero hunger …

Exploring the potential of UAV hyperspectral image for estimating soil salinity: Effects of optimal band combination algorithm and random forest

C Zhu, J Ding, Z Zhang, Z Wang - … Acta Part A: Molecular and Biomolecular …, 2022 - Elsevier
Hyperspectral remote sensing by unmanned aerial vehicle (UAV) is an important technical
tool for rapid, accurate, and real-time monitoring of soil salinity in arid zone agroecosystems …

Remote data for map** and monitoring coastal phenomena and parameters: A systematic review

RM Cavalli - Remote Sensing, 2024 - mdpi.com
Since 1971, remote sensing techniques have been used to map and monitor phenomena
and parameters of the coastal zone. However, updated reviews have only considered one …

Current status and development trend of soil salinity monitoring research in China

Y Ma, N Tashpolat - Sustainability, 2023 - mdpi.com
Soil salinization is a resource and ecological problem that currently exists on a large scale in
all countries of the world. This problem is seriously restricting the development of agricultural …

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 …

[HTML][HTML] Simultaneous estimation of multiple soil properties under moist conditions using fractional-order derivative of vis-NIR spectra and deep learning

Y Liu, Y Lu, D Chen, W Zheng, Y Ma, X Pan - Geoderma, 2023 - Elsevier
The application of visible and near-infrared (vis-NIR) spectroscopy for predicting soil
properties presents a cost-effective and time-efficient approach for evaluating various soil …

[HTML][HTML] Assessment of soil salinity status under different land-use conditions in the semiarid region of Northeastern Brazil

LGM Pessoa, MBGS Freire, CHM Green… - Ecological …, 2022 - Elsevier
Soil salinization and sodification, caused by inadequate land management, is one of the
main threats to the semiarid agroecosystems. It is essential to investigate saline levels under …

[HTML][HTML] Improving soil organic matter estimation accuracy by combining optimal spectral preprocessing and feature selection methods based on pXRF and vis-NIR …

X Shi, J Song, H Wang, X Lv, Y Zhu, W Zhang, W Bu… - Geoderma, 2023 - Elsevier
Rapid and accurate estimation of soil organic matter (SOM) content is of great significance
for agricultural production and carbon stock estimation. Visible-near-infrared spectroscopy …

HPO-empowered machine learning with multiple environment variables enables spatial prediction of soil heavy metals in coastal delta farmland of China

Y Song, D Zhan, Z He, W Li, W Duan, Z Yang… - … and Electronics in …, 2023 - Elsevier
Abstract Machine learning (ML) models have been widely used for predicting spatial
variability of soil heavy metals. However, it is impossible to explore the entire …