Results 1 to 10 of about 397 (161)

A soil property and spectral near- and mid-infrared dataset from cultivated fields sampled in winter 2020, Western Highveld, South Africa. [PDF]

Data Brief
This data article describes a soil dataset of 790 topsoil samples collected from commercial, cultivated grain-producing fields managed by NWK Ltd. And GWK Ltd. in the Western Highveld region, South Africa. Samples were composite topsoil drawn from the co-
Kock AL, Van Zijl G.
europepmc   +2 more sources

Spectral Data Processing for Field-Scale Soil Organic Carbon Monitoring. [PDF]

Sensors (Basel)
Carbon sequestration in soils under agricultural use can contribute to climate change mitigation. Spatial–temporal soil organic carbon (SOC) monitoring requires more efficient data acquisition. This study aims to evaluate the potential of spectral on-the-
Reyes J, Ließ M.
europepmc   +2 more sources

Building a near-infrared (NIR) soil spectral dataset and predictive machine learning models using a handheld NIR spectrophotometer. [PDF]

Data Brief
This near-infrared spectral dataset consists of 2,106 diverse mineral soil samples scanned, on average, on six different units of the same low-cost commercially available handheld spectrophotometer.
Partida C, Safanelli JL, Mitu SM, Murad MOF, Ge Y, Ferguson R, Shepherd K, Sanderman J.   +7 more
europepmc   +2 more sources

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

Revista 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, Marcio Regys Rabelo de Oliveira, Letícia Machado Lopes, Mirian Cristina Gomes Costa, Raul Shiso Toma, Isabel Cristina da Silva Araújo, Luis Clenio Jario Moreira, Adunias dos Santos Teixeira   +7 more
doaj   +1 more source

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