Visible and near-infrared reflectance spectroscopy—An alternative for monitoring soil contamination by heavy metals

T Shi, Y Chen, Y Liu, G Wu - Journal of hazardous materials, 2014‏ - Elsevier
Soil contamination by heavy metals is an increasingly important problem worldwide. Quick
and reliable access to heavy metal concentration data is crucial for soil monitoring and …

Soil properties prediction for precision agriculture using visible and near-infrared spectroscopy: A systematic review and meta-analysis

A Ahmadi, M Emami, A Daccache, L He - Agronomy, 2021‏ - mdpi.com
Reflectance spectroscopy for soil property prediction is a non-invasive, fast, and cost-
effective alternative to the standard laboratory analytical procedures. Soil spectroscopy has …

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 …

SHAP values accurately explain the difference in modeling accuracy of convolution neural network between soil full-spectrum and feature-spectrum

L Zhong, X Guo, M Ding, Y Ye, Y Jiang, Q Zhu… - … and Electronics in …, 2024‏ - Elsevier
Acquiring soil nutrient content quickly and accurately through remote sensing is the key to
advance precision agriculture. The development of deep learning has provided new …

Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case …

J Wang, T Shi, D Yu, D Teng, X Ge, Z Zhang… - Environmental …, 2020‏ - Elsevier
In arid and semi-arid regions, water-quality problems are crucial to local social demand and
human well-being. However, the conventional remote sensing-based direct detection of …

[HTML][HTML] Evaluating calibration and spectral variable selection methods for predicting three soil nutrients using Vis-NIR spectroscopy

P Guo, T Li, H Gao, X Chen, Y Cui, Y Huang - Remote Sensing, 2021‏ - mdpi.com
Soil nutrients, including soil available potassium (SAK), soil available phosphorous (SAP),
and soil organic matter (SOM), play an important role in farmland soil productivity, food …

Quantitative estimation of soil salinity by means of different modeling methods and visible-near infrared (VIS–NIR) spectroscopy, Ebinur Lake Wetland, Northwest …

J Wang, J Ding, A Abulimiti, L Cai - PeerJ, 2018‏ - peerj.com
Soil salinization is one of the most common forms of land degradation. The detection and
assessment of soil salinity is critical for the prevention of environmental deterioration …

Current sensor technologies for in situ and on-line measurement of soil nitrogen for variable rate fertilization: A review

A Guerrero, S De Neve, AM Mouazen - Advances in agronomy, 2021‏ - Elsevier
Recommendations for nitrogen (N) fertilization are based on the analysis of the soil mineral
N (SMN) content of one composite sample that is assumed to represent the average …

Estimation of winter wheat plant nitrogen concentration from UAV hyperspectral remote sensing combined with machine learning methods

X Chen, F Li, B Shi, Q Chang - Remote Sensing, 2023‏ - mdpi.com
Nitrogen is one of the most important macronutrients and plays an essential role in the
growth and development of winter wheat. It is very crucial to diagnose the nitrogen status …

[HTML][HTML] Nitrogen balance index prediction of winter wheat by canopy hyperspectral transformation and machine learning

K Fan, F Li, X Chen, Z Li, DJ Mulla - Remote Sensing, 2022‏ - mdpi.com
Nitrogen balance index (NBI) is an important indicator for scientific diagnostic and
quantitative research on crop growth status. The quick and accurate assessment of NBI is …