Results 31 to 40 of about 182 (139)
Assessing the soil color by traditional method and a smartphone: a comparison
Revista de Ciencias Agrícolas, 2021 Based on the hypothesis that there is a high agreement between pedologists and a smartphone application in the assessment of soil color; the objective was to compare the perceptions of pedologists and an application in obtaining the color of an Argissolo
Gabriela de Castro Raulino +8 more
doaj +1 more source
Soil-terrain modelling and erosion analysis at field scale level, a case study
Soil and Water Research, 2009 Pedometrical methods and digital soil mapping represent a progressive approach to the evaluation of various terrain-related soil processes. A detailed digital terrain model was used for the analysis of erosion - sedimentation situation and description of
Tereza Zádorová +2 more
doaj +1 more source
A 360° perspective of women in soil science focused on the U.S
Frontiers in Soil Science, 2023 Gender parity and equity concerns in soil science have been reported in the United States and at global scale. Long-standing biases and gender stereotypes have discouraged women away from science, technology, engineering, and mathematics (STEM) research ...
Sabine Grunwald, Samira Daroub
doaj +1 more source
Simulation of soil organic carbon potential sequestration for high Andes Peruvian croplands [PDF]
Revista Brasileira de Ciência do SoloSoil organic carbon (SOC) sequestration in croplands represents a significant opportunity to mitigate climate change by removing carbon dioxide from the atmosphere.
Carlos Carbajal +3 more
doaj +1 more source
Development of pedotransfer functions for water retention in tropical mountain soil landscapes: spotlight on parameter tuning in machine learning [PDF]
SOIL, 2020 Machine-learning algorithms are good at computing non-linear problems and fitting complex composite functions, which makes them an adequate tool for addressing multiple environmental research questions.
A. Gebauer +3 more
doaj +1 more source
Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area
Revista Brasileira de Ciência do Solo, 2018 : Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being used for different soil mapping purposes. Considering the variety of models available, it is important to know their performance in relation to soil data
Martin Meier +4 more
doaj +1 more source
Remote SensingThe need to maintain soil health and produce more food worldwide has increased, and soil analysis is essential for its management. Although spectroscopy has emerged as an important tool, it is important to focus primarily on predictive modeling ...
Bruno dos Anjos Bartsch +17 more
doaj +1 more source
Bibliometric Analysis for Pattern Exploration in Worldwide Digital Soil Mapping Publications
Anais da Academia Brasileira de Ciências, 2018 Bibliometric analyses provide a clear understanding of the scientific performance and relate them with standards of the global scientific production. Soil science is an outstanding and developing field among environmental sciences.
LUCIANO C. CANCIAN +2 more
doaj +1 more source
Magnetic Susceptibility of Soil to Differentiate Soil Environments in Southern Brazil
Revista Brasileira de Ciência do SoloThe interest in new techniques to support digital soil mapping (DSM) is increasing. Numerous studies pointed out that the measure of magnetic susceptibility (MS) can be extremely useful in the identification of properties related with factors and ...
Priscila Vogelei Ramos +5 more
doaj +1 more source
European Journal of Soil Science, Volume 77, Issue 2, March–April 2026.ABSTRACT In the field of pedometrics, tabular machine learning is the predominant method for soil property prediction from remote and proximal soil sensing data, forming a central component of Digital Soil Mapping (DSM). At the field‐scale, this pedometric modeling task is typically constrained by small training sample sizes and high feature‐to‐sample ...
Viacheslav Barkov +3 more
wiley +1 more source