Smart sensing with edge computing in precision agriculture for soil assessment and heavy metal monitoring: A review

MN Akhtar, AJ Shaikh, A Khan, H Awais, EA Bakar… - Agriculture, 2021 - mdpi.com
With the implementation of the Internet of Things, the agricultural domain has become data-
driven, allowing for well-timed and cost-effective farm management while remaining …

Proximal and remote sensing techniques for mapping of soil contamination with heavy metals

T Shi, L Guo, Y Chen, W Wang, Z Shi… - Applied Spectroscopy …, 2018 - Taylor & Francis
Heavy metal soil contamination is a severe environmental problem globally, and its mapping
is vital for environmental managers and policymakers to determine its distributions and …

Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI

J Wang, J Ding, D Yu, D Teng, B He, X Chen… - Science of the Total …, 2020 - Elsevier
Accurate assessment of soil salinization is considered as one of the most important steps in
combating global climate change, especially in arid and semi-arid regions. Multi-spectral …

Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models

H Teng, Z Liang, S Chen, Y Liu, RAV Rossel… - Science of the Total …, 2018 - Elsevier
Soil erosion by water is accelerated by a warming climate and negatively impacts water
security and ecological conservation. The Tibetan Plateau (TP) has experienced warming at …

Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century

RA Viscarra Rossel, T Behrens… - European Journal of …, 2022 - Wiley Online Library
Spectroscopic measurements of soil samples are reliable because they are highly
repeatable and reproducible. They characterise the samples' mineral–organic composition …

[HTML][HTML] Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring

X Ge, J Wang, J Ding, X Cao, Z Zhang, J Liu, X Li - PeerJ, 2019 - peerj.com
Soil moisture content (SMC) is an important factor that affects agricultural development in
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …

Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy

S Xu, Y Zhao, M Wang, X Shi - Geoderma, 2018 - Elsevier
The successful determination of soil properties by visible and near-infrared (Vis–NIR)
reflectance spectroscopy (350–2500 nm) depends on the selection of an appropriate …

A method combining FTIR-ATR and Raman spectroscopy to determine soil organic matter: Improvement of prediction accuracy using competitive adaptive reweighted …

Z Xing, C Du, Y Shen, F Ma, J Zhou - Computers and Electronics in …, 2021 - Elsevier
Determination of soil organic matter (SOM) is extremely important for diagnosing the fertility
status of agricultural soils. Thus, fast and efficient approaches are needed to aid soil …

Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking

D Zhao, M Arshad, J Wang, J Triantafilis - Computers and Electronics in …, 2021 - Elsevier
Due to high rate of nutrient removal by cotton plants, the productive cotton-growing soils of
Australia are becoming depleted of exchangeable (exch.) cations. For long-term …

Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution

B Hu, S Chen, J Hu, F Xia, J Xu, Y Li, Z Shi - PloS one, 2017 - journals.plos.org
Rapid heavy metal soil surveys at large scale with high sampling density could not be
conducted with traditional laboratory physical and chemical analyses because of the high …