[HTML][HTML] Soil Science-Informed Machine Learning
Abstract Machine learning (ML) applications in soil science have significantly increased over
the past two decades, reflecting a growing trend towards data-driven research addressing …
the past two decades, reflecting a growing trend towards data-driven research addressing …
Mid-infrared spectroscopy for accurate measurement of an extensive set of soil properties for assessing soil functions
Quantitative assessment of soil functions requires the characterization of soil capability and
condition. Mid-infrared (MIR) spectroscopy has been suggested as a viable alternative to the …
condition. Mid-infrared (MIR) spectroscopy has been suggested as a viable alternative to the …
[HTML][HTML] Spectral fusion modeling for soil organic carbon by a parallel input-convolutional neural network
Abstract Visible-to-near-infrared (vis–NIR) and mid-infrared (MIR) spectroscopy have been
widely utilized for the quantitative estimation of soil organic carbon (SOC). The fusion of vis …
widely utilized for the quantitative estimation of soil organic carbon (SOC). The fusion of vis …
Soil microbial activity along an altitudinal gradient: Vegetation as a main driver beyond topographic and edaphic factors
K Ivashchenko, S Sushko, A Selezneva, N Ananyeva… - Applied Soil …, 2021 - Elsevier
An altitudinal gradient in the mountains constitutes a unique 'open-lab'to examine
environmental hypotheses and analyse the expected effects of global warming. The …
environmental hypotheses and analyse the expected effects of global warming. The …
[HTML][HTML] Soil moisture effects on predictive VNIR and MIR modeling of soil organic carbon and clay content
Portable visible to near-infrared (VNIR) and mid-infrared (MIR) soil spectroscopy holds great
potential to support field applications in soil science and management by complementing …
potential to support field applications in soil science and management by complementing …
Structure and core taxa of bacterial communities involved in extracellular electron transfer in paddy soils across China
X Luo, L Huang, X Cai, L Zhou, S Zhou… - Science of The Total …, 2022 - Elsevier
Microbial communities with extracellular electron transfer (EET) activity are capable of
driving geochemical changes and cycles, but a comprehensive understanding of the key …
driving geochemical changes and cycles, but a comprehensive understanding of the key …
[HTML][HTML] Multi-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties
We present a data-driven, in situ proximal multi-sensor digital soil mapping approach to
develop digital twins for multiple agricultural fields. A novel Digital Soil CoreTM (DSC) Probe …
develop digital twins for multiple agricultural fields. A novel Digital Soil CoreTM (DSC) Probe …
Advances in Plant–Soil Feedback Driven by Root Exudates in Forest Ecosystems
W Sun, Q Li, B Qiao, K Jia, C Li, C Zhao - Forests, 2024 - mdpi.com
Plant–soil feedback (PSF) was initially developed in the field of agricultural practices. In
recent years, PSF has been extended to various ecosystems. Root exudates, essential for …
recent years, PSF has been extended to various ecosystems. Root exudates, essential for …
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra
As a precious soil resource, black soils in Northeast China are currently facing severe land
degradation. Visible and near-infrared spectroscopy (vis-NIR, 350–2500 nm) and mid …
degradation. Visible and near-infrared spectroscopy (vis-NIR, 350–2500 nm) and mid …
[HTML][HTML] Enhanced VNIR and MIR proximal sensing of soil organic matter and PLFA-derived soil microbial properties through machine learning ensembles and …
C Hutengs, N Eisenhauer, M Schädler, S Cesarz… - Geoderma, 2024 - Elsevier
Portable visible-to-near-infrared (VNIR) and mid-infrared (MIR) spectroscopy coupled with
machine learning can provide detailed and inexpensive information on various key soil …
machine learning can provide detailed and inexpensive information on various key soil …