Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances–A review
Over the past two decades soil spectroscopy, particularly, in the infrared range, is becoming
a powerful technique to simplify analysis relative to the traditional chemical methods. It is …
a powerful technique to simplify analysis relative to the traditional chemical methods. It is …
[HTML][HTML] Soil properties prediction for precision agriculture using visible and near-infrared spectroscopy: A systematic review and meta-analysis
Reflectance spectroscopy for soil property prediction is a non-invasive, fast, and cost-
effective alternative to the standard laboratory analytical procedures. Soil spectroscopy has …
effective alternative to the standard laboratory analytical procedures. Soil spectroscopy has …
Exploring the eco-efficiency of cultivated land utilization and its influencing factors in China's Yangtze River Economic Belt, 2001–2018
Rapid urbanization in China has worsened the sustainable utilization of limited cultivated
land resources, which seriously threatens food security and ecological security. To realize …
land resources, which seriously threatens food security and ecological security. To realize …
A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra
Soil organic carbon (SOC) plays a crucial role as an ecosystems indicator. Its quantification
requires an affordable, and less time-consuming method. Visible and near infrared (Vis-NIR) …
requires an affordable, and less time-consuming method. Visible and near infrared (Vis-NIR) …
On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning
S Nawar, AM Mouazen - Soil and Tillage Research, 2019 - Elsevier
Accurate on-line visible and near infrared (vis-NIR) spectroscopy prediction of soil organic
carbon (OC) is essential for food security and environmental management. This paper aims …
carbon (OC) is essential for food security and environmental management. This paper aims …
Regional mapping of soil organic matter content using multitemporal synthetic Landsat 8 images in Google Earth Engine
C Luo, X Zhang, X Meng, H Zhu, C Ni, M Chen, H Liu - Catena, 2022 - Elsevier
Accurate assessment of the spatial distribution of soil organic matter (SOM) is of great
significance for regional sustainable development, especially in fertile black soil areas. The …
significance for regional sustainable development, especially in fertile black soil areas. The …
Spatial prediction of soil organic matter content using multiyear synthetic images and partitioning algorithms
C Luo, Y Wang, X Zhang, W Zhang, H Liu - Catena, 2022 - Elsevier
Accurate assessment of the spatial distribution of soil organic matter (SOM) is of great
significance for regional sustainable development. However, due to the strong spatial …
significance for regional sustainable development. However, due to the strong spatial …
[HTML][HTML] Prediction of soil properties based on characteristic wavelengths with optimal spectral resolution by using Vis-NIR spectroscopy
B Yu, C Yan, J Yuan, N Ding, Z Chen - Spectrochimica Acta Part A …, 2023 - Elsevier
Visible and near-infrared (Vis-NIR) spectroscopy technique has been recognized as a cost-
effective, rapid, non-destructive alternative to traditional soil physicochemical analysis to …
effective, rapid, non-destructive alternative to traditional soil physicochemical analysis to …
[HTML][HTML] Using a one-dimensional convolutional neural network on visible and near-infrared spectroscopy to improve soil phosphorus prediction in Madagascar
K Kawamura, T Nishigaki, A Andriamananjara… - Remote Sensing, 2021 - mdpi.com
As a proximal soil sensing technique, laboratory visible and near-infrared (Vis-NIR)
spectroscopy is a promising tool for the quantitative estimation of soil properties. However …
spectroscopy is a promising tool for the quantitative estimation of soil properties. However …
Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques
S Nawar, AM Mouazen - Catena, 2017 - Elsevier
The development of accurate visible and near infrared (vis-NIR) spectroscopy calibration
models for selected soil properties based on mobile measurements is essential for site …
models for selected soil properties based on mobile measurements is essential for site …