Predicting soil pH changes in response to application of urea and sheep urine.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of environmental quality"
DOI: 10.1002/jeq2.20130
Abstract: Volatilization of NH3 following urea application or livestock urine deposition can result in significant loss of N to the environment. Urea hydrolysis to NH4 + results in an increase in pH, which in turn promotes… read more here.
Keywords: application urea; sheep urine; phbc; predicting soil ... See more keywords
Predicting soil compaction parameters in expansive soils using advanced machine learning models: a comparative study
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-09279-2
Abstract: Expansive soils present substantial challenges for construction projects, particularly in arid regions where their swelling and shrinking behavior can result in structural damage. This research conducted an in-depth analysis of 195 soil samples, investigating six… read more here.
Keywords: soil compaction; predicting soil; soil; study ... See more keywords
Predicting soil erosion and assessing quality indicators in two Brazilian watersheds: subsidy for territorial planning
Sign Up to like & getrecommendations! Published in 2021 at "Geocarto International"
DOI: 10.1080/10106049.2021.1899308
Abstract: Soil erosion might be induced by human pressure and result in irreversible environmental impacts. In the municipality of Itapevi (SP, Brazil), where demographic saturation has driven the population... read more here.
Keywords: assessing quality; predicting soil; erosion assessing; soil ... See more keywords
Why “AI” models for predicting soil liquefaction have been ignored, plus some that shouldn’t be
Sign Up to like & getrecommendations! Published in 2023 at "Earthquake Spectra"
DOI: 10.1177/87552930231173711
Abstract: Soil liquefaction remains an important and interesting problem that has attracted the development of enumerable prediction models. Increasingly, these models are utilizing algorithmic learning or “artificial intelligence” (AI). The rapid growth of AI in the… read more here.
Keywords: soil liquefaction; predicting soil; models predicting; liquefaction ignored ... See more keywords
A Novel Transformer-CNN Approach for Predicting Soil Properties from LUCAS Vis-NIR Spectral Data
Sign Up to like & getrecommendations! Published in 2024 at "Agronomy"
DOI: 10.3390/agronomy14091998
Abstract: Soil, a non-renewable resource, requires continuous monitoring to prevent degradation and support sustainable agriculture. Visible-near-infrared (Vis-NIR) spectroscopy is a rapid and cost-effective method for predicting soil properties. While traditional machine learning methods are commonly used… read more here.
Keywords: predicting soil; transformer cnn; soil; vis nir ... See more keywords