Soil properties: Their prediction and feature extraction from the LUCAS spectral library using deep convolutional neural networks

L Zhong, X Guo, Z Xu, M Ding - Geoderma, 2021 - Elsevier
Soil, as a non-renewable resource, should be monitored continuously to prevent its
degradation and promote sustainable agriculture. Soil spectroscopy in the visible-near …

Estimation of soil organic carbon content in coastal wetlands with measured VIS-NIR spectroscopy using optimized support vector machines and random forests

J Song, J Gao, Y Zhang, F Li, W Man, M Liu, J Wang… - Remote Sensing, 2022 - mdpi.com
Coastal wetland soil organic carbon (CW-SOC) is crucial for both “blue carbon” and carbon
sequestration. It is of great significance to understand the content of soil organic carbon …

Prediction and mapping of soil clay and sand contents using visible and near-infrared spectroscopy

Z Tümsavaş, Y Tekin, Y Ulusoy, AM Mouazen - Biosystems Engineering, 2019 - Elsevier
The aim of this research was to examine the potential of visible and near infrared (Vis–NIR)
spectroscopy for the prediction and mapping of sand and clay fractions of soils in one …

Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil

UJ dos Santos, JA de Melo Dematte, RSC Menezes… - Geoderma …, 2020 - Elsevier
Determinations of soil carbon and nitrogen stocks are important to evaluate land fertility and
agricultural potential and because of their influence on the global climate. Spectroscopic …

Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths

JA Coblinski, É Giasson, JAM Demattê, AC Dotto… - Catena, 2020 - Elsevier
The demand for quality and low-cost soil information is growing due to the demands of land
use planning and precision agriculture. Soil texture is one of the key soil properties, as it …

Modeling soil organic carbon at regional scale by combining multi-spectral images with laboratory spectra

Y Peng, X Xiong, K Adhikari, M Knadel, S Grunwald… - PloS one, 2015 - journals.plos.org
There is a great challenge in combining soil proximal spectra and remote sensing spectra to
improve the accuracy of soil organic carbon (SOC) models. This is primarily because mixing …

Simultaneous prediction of several soil properties related to engineering uses based on laboratory Vis-NIR reflectance spectroscopy

M Davari, SA Karimi, HA Bahrami, SMT Hossaini… - Catena, 2021 - Elsevier
The conventional methods for measuring soil properties are time-consuming and expensive.
Over the past few decades, reflectance spectroscopy has been widely applied as a rapid …

Opportunities and future directions for visual soil evaluation methods in soil structure research

RML Guimarães, M Lamandé, LJ Munkholm… - Soil and Tillage …, 2017 - Elsevier
As the use of visual soil evaluation (VSE) methods has spread globally, they have been
exposed to different climatic and pedological scenarios, resulting in the need to elucidate …

Evaluation of the performance of portable visible-infrared instruments for the prediction of soil properties

JM Soriano-Disla, LJ Janik, DJ Allen… - Biosystems …, 2017 - Elsevier
Highlights•MIR instruments provided the best performance for the prediction of soil
properties.•Performance of portable MIR instruments similar to laboratory …

Rapid assessment of soil carbon and nutrients following application of organic amendments

MB Farrar, HM Wallace, I Tahmasbian, CM Yule… - Catena, 2023 - Elsevier
Regular and routine soil analysis is vital to properly understand agricultural soil evolution
and sustainably manage nutrient applications over time. Hyperspectral imaging (HSI) is a …