In‐field soil spectroscopy in Vis–NIR range for fast and reliable soil analysis: A review

C Piccini, K Metzger, G Debaene… - European Journal of …, 2024 - Wiley Online Library
In‐field soil spectroscopy represents a promising opportunity for fast soil analysis, allowing
the prediction of several soil properties from one spectral reading representing one soil …

A review of agroforestry, precision agriculture, and precision livestock farming—The case for a data-driven agroforestry strategy

ES Ramil Brick, J Holland, DE Anagnostou… - Frontiers in …, 2022 - frontiersin.org
Agroforestry can be defined as an agroecosystem whereby soil is used holistically and
synergistically by various stakeholders including farmers, livestock, and plants. As such …

[HTML][HTML] Non-linear memory-based learning for predicting soil properties using a regional vis-NIR spectral library

Z Wang, S Chen, R Lu, X Zhang, Y Ma, Z Shi - Geoderma, 2024 - Elsevier
Visible near-infrared (vis-NIR) spectroscopy has gained widespread recognition as an
efficient and reliable approach for the rapid monitoring of soil properties. This technique …

[HTML][HTML] Estimation of soil organic carbon using vis-nir spectral data and spectral feature bands selection in Southern **

S Chen, NPA Saby, MP Martin, BG Barthès, C Gomez… - Geoderma, 2023 - Elsevier
Digital soil map** has been increasingly advocated as an efficient approach to deliver fine-
resolution and up-to-date soil information in evaluating soil ecosystem services. Considering …

Map** soil organic matter and identifying potential controls in the farmland of Southern China: Integration of multi‐source data, machine learning and geostatistics

B Hu, H Ni, M **e, H Li, Y Wen, S Chen… - Land Degradation & …, 2023 - Wiley Online Library
Soil organic matter (SOM) plays a critical role in terrestrial ecosystem functioning and is
closely related to many global issues like soil fertility, soil health and climate regulation …

Towards optimal variable selection methods for soil property prediction using a regional soil vis-nir spectral library

X Zhang, J Xue, Y **ao, Z Shi, S Chen - Remote Sensing, 2023 - mdpi.com
Soil visible and near-infrared (Vis-NIR, 350–2500 nm) spectroscopy has been proven as an
alternative to conventional laboratory analysis due to its advantages being rapid, cost …

Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon

Y Hong, MA Munnaf, A Guerrero, S Chen, Y Liu… - Soil and Tillage …, 2022 - Elsevier
Spectral techniques such as visible-to-near-infrared (VIS–NIR) and mid-infrared (MIR)
spectroscopies have been regarded as effective alternatives to laboratory-based methods …

Evaluating validation strategies on the performance of soil property prediction from regional to continental spectral data

S Chen, H Xu, D Xu, W Ji, S Li, M Yang, B Hu, Y Zhou… - Geoderma, 2021 - Elsevier
Visible-near infrared (vis–NIR) spectroscopy has been widely used to characterize soil
information from field to global scales. Before applying a calibrated spectral predictive model …

New pedotransfer approaches to predict soil bulk density using WoSIS soil data and environmental covariates in Mediterranean agro-ecosystems

C Schillaci, A Perego, E Valkama, M Märker… - Science of the total …, 2021 - Elsevier
For the estimation of the soil organic carbon stocks, bulk density (BD) is a fundamental
parameter but measured data are usually not available especially when dealing with legacy …