Results 11 to 20 of about 182 (139)

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

Adv 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, Liu K, Grunwald S, Smith P, Ciais P, Wang B, Wadoux AMJ, Ferreira C, Karunaratne S, Shurpali N, Yin X, Roberts D, Madgett O, Duncan S, Zhou M, Liu Z, Harrison MT.   +16 more
europepmc   +2 more sources

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

Land, 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, Yuri Jacques Agra Bezerra da Silva, Vanessa Martins, Cácio Luiz Boechat, Ademir Sérgio Ferreira Araújo, Jussara Silva Dantas, Ozeas S. Costa, Ronny Sobreira Barbosa   +7 more
doaj   +1 more source

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

Revista 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, José Alexandre Melo Demattê, Natasha Valadares dos Santos, Jorge Tadeu Fim Rosas, Nélida Elizabet Quiñonez Silvero, Benito Roberto Bonfatti, Wanderson de Sousa Mendes   +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

Frontiers 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]

Engenharia 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, José Marques Júnior, Diego S. Siqueira, Gener T. Pereira   +3 more
doaj   +1 more source

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

Pesquisa 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, Ricardo Simão Diniz Dalmolin, Carlos Alberto Flores, Jean Michel Moura-Bueno, Alexandre ten Caten, Douglas Rodrigo Kaiser   +5 more
doaj   +1 more source

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

Soil 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, Nada Mzid, Simone Pascucci, Stefano Pignatti, Raffaele Casa   +4 more
doaj   +1 more source

Diffuse Reflectance Spectroscopy for Mapping Soil Carbon Stock in the Gilbués Desertification Region at Brazilian Cerrado

Land, 2023
The carbon stock (C Stock) is a key soil attribute, especially in areas under degradation. The objective of this study was to map the C Stock and other physical and chemical attributes on the soil surface of a micro-watershed located in the Gilbués ...
Julio César Galdino de Sousa, Yuri Jacques Agra Bezerra da Silva, Vanessa Martins, Sueli Rodrigues, Marcos Paulo Rodrigues Teixeira, Paulo Henrique Dalto, Laércio Vieira de Melo Wanderley Neves, Antonio Rafael Sánchez-Rodríguez, Ronny Sobreira Barbosa   +8 more
doaj   +1 more source

Australian soil microbiome: A first sightseeing regional prediction driven by cycles of soil temperature and pedogenic variations

Molecular Ecology, Volume 32, Issue 23, Page 6243-6259, December 2023., 2023
Abstract Declines in soil multifunctionality (e.gsoil capacity to provide food and energy) are closely related to changes in the soil microbiome (e.g., diversity) Determining ecological drivers promoting such microbiome changes is critical knowledge for protecting soil functions.
Vanessa Pino, Mario Fajardo, Alex McBratney, Budiman Minasny, Neil Wilson, Chris Baldock   +5 more
wiley   +1 more source

3–4D soil model as challenge for future soil research: Quantitative soil modeling based on the solid phase

Journal of Plant Nutrition and Soil Science, Volume 185, Issue 6, Page 720-744, December 2022., 2022
Abstract A 3–4D soil model represents a logical step forward from one‐dimensional soil columns (1D), two‐dimensional soil maps (2D), and three‐dimensional soil volumes (3D) toward dynamic soil models (4D), with time as the fourth dimension. The challenge is to develop modeling tools that account for the states of soil properties, including the spatial ...
Horst H. Gerke, Hans‐Jörg Vogel, Tobias K.D. Weber, W. Marijn van der Meij, Thomas Scholten   +4 more
wiley   +1 more source