Results 11 to 20 of about 828 (181)

Grand Challenges in Pedometrics-AI Research [PDF]

open access: yesFrontiers in Soil Science, 2021
Sabine Grunwald
exaly   +2 more sources

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process-Based and Hybrid Modelling Approaches. [PDF]

open access: yesAdv Sci (Weinh)
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Ding Z   +16 more
europepmc   +2 more sources

Reflectance spectroscopy in the prediction of soil organic carbon associated with humic substances [PDF]

open access: yesRevista Brasileira de Ciência do Solo, 2023
Understanding organic carbon and predominant humic fractions in the soil allows contributes to soil quality management. Conventional fractionation techniques require time, excessive sampling, and high maintenance costs.
Sharon Gomes Ribeiro   +7 more
doaj   +1 more source

Prediction of Soil Erodibility by Diffuse Reflectance Spectroscopy in a Neotropical Dry Forest Biome

open access: yesLand, 2022
The USLE and the RUSLE are two common erosion prediction models that are used worldwide, and soil erodibility (K-factor) is one parameter used to calculate them. The objectives of this study were to investigate the variability of soil-erodibility factors
Samuel Ferreira Pontes   +7 more
doaj   +1 more source

Editorial: Women in pedometrics, soil health and security

open access: yesFrontiers in Soil Science, 2023
Sabine Grunwald, Samira Daroub
doaj   +2 more sources

Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison

open access: yesRevista Brasileira de Ciência do Solo, 2021
Multitemporal collections of satellite images and their products have recently been explored in digital soil mapping. This study aimed to produce a bare soil image (BSI) for the São Paulo State (Brazil) to perform a pedometric analysis for different ...
José Lucas Safanelli   +6 more
doaj   +1 more source

Machine Learning With GA Optimization to Model the Agricultural Soil-Landscape of Germany: An Approach Involving Soil Functional Types With Their Multivariate Parameter Distributions Along the Depth Profile

open access: yesFrontiers in Environmental Science, 2021
Societal demands on soil functionality in agricultural soil-landscapes are confronted with yield losses and environmental impact. Soil functional information at national scale is required to address these challenges.
Mareike Ließ, Anika Gebauer, Axel Don
doaj   +1 more source

Outlining precision boundaries among areas with different variability standards using magnetic susceptibility and geomorphic surfaces [PDF]

open access: yesEngenharia Agrícola, 2014
There is an increasing demand for detailed maps that represent in a simplified way the knowledge of the variability of a particular area or region maps.
Sammy S. R. Matias   +3 more
doaj   +1 more source

Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale [PDF]

open access: yesPesquisa Agropecuária Brasileira, 2017
: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies
Mario Sergio Wolski   +5 more
doaj   +1 more source

Performance of a Portable FT-NIR MEMS Spectrometer to Predict Soil Features

open access: yesSoil Systems, 2022
NIR spectrometers based on micro-electromechanical systems (MEMS) have become available in the market, with lower prices and smaller dimensions than traditional spectrometers.
Simone Priori   +4 more
doaj   +1 more source

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