[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 …
Artificial neural networks for the prediction of the soil-water characteristic curve: An overview
Several models have been developed for predicting the soil-water characteristic curve
(SWCC). Artificial Neural Networks (ANN), which are machine learning systems based on …
(SWCC). Artificial Neural Networks (ANN), which are machine learning systems based on …
[HTML][HTML] Evaluation of pedotransfer functions for predicting soil hydraulic properties: A voyage from regional to field scales across Europe
Study region Europe. A total of 660, 522, and 4940 soil samples belonging to GRIZZLY,
HYPRES, and EU-HYDI databases, respectively, were used for parametric evaluation. Study …
HYPRES, and EU-HYDI databases, respectively, were used for parametric evaluation. Study …
Effect of soil texture on soil nutrient status and rice nutrient absorption in paddy soils
C Ye, G Zheng, Y Tao, Y Xu, G Chu, C Xu, S Chen… - Agronomy, 2024 - mdpi.com
Soil texture affects rice nutrient uptake and yield formation by influencing soil structure,
microbial activity, and soil nutrient supply capacity. Analyzing the relationship between soil …
microbial activity, and soil nutrient supply capacity. Analyzing the relationship between soil …
[HTML][HTML] Predicting soil water retention curves using machine learning: A study of model architecture and input variables
Soil water retention curves (SWRC) are constitutive relationships that are critical for
predicting the hydro-mechanical behaviour of unsaturated soil in a wide range of …
predicting the hydro-mechanical behaviour of unsaturated soil in a wide range of …
Hand-feel soil texture and particle-size distribution in central France. Relationships and implications
Due to cost constraints, field texture classes estimated by hand-feel by soil surveyors are
more abundant than laboratory measurements of particle-size distribution. Thus, there is a …
more abundant than laboratory measurements of particle-size distribution. Thus, there is a …
Development of a new pedotransfer function addressing limitations in soil hydraulic models and observations
The most applied pedotransfer functions (PTFs) often suffer from two main limitations:(a) the
soil hydraulic models (SHMs) only account for capillary forces and/or the models show an …
soil hydraulic models (SHMs) only account for capillary forces and/or the models show an …
Evaluation of pedotransfer functions to estimate some of soil hydraulic characteristics in North Africa: A case study from Morocco
Soil hydraulic properties are an important factor to optimize and adapt water management
for a given crop. Pedotransfer functions (PTFs) present a solution to predict soil variables …
for a given crop. Pedotransfer functions (PTFs) present a solution to predict soil variables …
Characterization and prediction of soil hydraulic and solute transport parameters using a random forest model
To effectively control nonpoint source pollution and predict its transport and load,
understanding water and solute transport processes, patterns and mechanisms is essential …
understanding water and solute transport processes, patterns and mechanisms is essential …