Search Results - "Santos Teixeira, Anita Fernanda"
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Soil weathering analysis using a portable X-ray fluorescence (PXRF) spectrometer in an Inceptisol from the Brazilian Cerrado
Published in Applied clay science (15-09-2018)“…Portable X-ray fluorescence (pXRF) spectrometers allow rapid detection of soil elements and owing to several advantages have been increasingly used in many…”
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Prediction of soil nutrient content via pXRF spectrometry and its spatial variation in a highly variable tropical area
Published in Precision agriculture (01-02-2022)“…Precision agriculture provides detailed information on the spatial variability of soil properties, including nutrient content, allowing for local-specific…”
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Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)
Published in Ciência e agrotecnologia (01-12-2017)“…ABSTRACT Determination of soil properties helps in the correct management of soil fertility. The portable X-ray fluorescence spectrometer (pXRF) has been…”
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Portable X-ray fluorescence (pXRF) spectrometry applied to the prediction of chemical attributes in Inceptisols under different land uses
Published in Ciência e agrotecnologia (01-09-2018)“…ABSTRACT Portable X-ray fluorescence (pXRF) spectrometry has been increasingly adopted for varying studies worldwide. This work aimed at characterizing effects…”
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Correcting field determination of elemental contents in soils via portable X-ray fluorescence spectrometry
Published in Ciência e agrotecnologia (2020)“…ABSTRACT Portable X-ray fluorescence (pXRF) spectrometry has been useful worldwide for determining soil elemental content under both field and laboratory…”
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Arbuscular mycorrhizal fungal communities in an iron mining area and its surroundings: Inoculum potential, density, and diversity of spores related to soil properties
Published in Ciência e agrotecnologia (01-09-2017)“…ABSTRACT Arbuscular mycorrhizal fungi (AMF) interact symbiotically with most plant species, facilitating revegetation of areas under rehabilitation. The aim of…”
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Genetic and symbiotic characterization of rhizobia nodulating legumes in a mining area in southeast Brazil
Published in Scientia agricola (01-01-2022)“…Identification and selection of nitrogen-fixing bacterial strains for inoculation into native leguminous tree species can assist in the recovery of degraded…”
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Combining Proximal and Remote Sensors in Spatial Prediction of Five Micronutrients and Soil Texture in a Case Study at Farmland Scale in Southeastern Brazil
Published in Agronomy (Basel) (01-10-2022)“…Despite the increasing adoption of proximal sensors worldwide, rare works have coupled proximal with remotely sensed data to spatially predict soil properties…”
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Sustainable productive intensification for family farming in developing tropical countries
Published in Ciência e agrotecnologia (2019)“…ABSTRACT In the past, agriculture was directed to satisfying human needs. Nowadays, it is directed to meeting the markets, forcing the peasantries to adapt to…”
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Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management
Published in Ciência e agrotecnologia (01-12-2018)“…ABSTRACT Land use capability is one of the most widespread technical-interpretative classification systems, however, regional adaptations may be necessary…”
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Proximal sensor data fusion and auxiliary information for tropical soil property prediction: Soil texture
Published in Geoderma (15-09-2022)“…•Does combining proximal sensor always bring synergy for predicting soil texture?•Vis-NIR, NixProTM, and pXRF data were tested for soil texture…”
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Soil texture prediction in tropical soils: A portable X-ray fluorescence spectrometry approach
Published in Geoderma (15-03-2020)“…•Soil texture of 1565 samples was determined and analyzed with pXRF in Brazil.•pXRF data was successfully predicted soil texture through SVM and RF…”
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Parent material distribution mapping from tropical soils data via machine learning and portable X-ray fluorescence (pXRF) spectrometry in Brazil
Published in Geoderma (15-11-2019)“…Knowledge about parent material (PM) is crucial to understand the properties of overlying soils. Assessing PM of very deep soils, however, is not easy…”
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Diversity and biotechnological potential of rhizobia isolated from lima bean nodules collected at a semiarid region
Published in Soil Science Society of America journal (01-09-2021)“…Lima bean (Phaseolus lunatus L.) is the second most important species of the Phaseolus genus worldwide. In Brazil, it is grown primarily in the semiarid…”
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Rapid soil fertility prediction using X-ray fluorescence data and machine learning algorithms
Published in Catena (Giessen) (01-02-2021)“…[Display omitted] •1975 samples of varied soils were analyzed for fertility and elemental contents.•pXRF data was successfully used to rapidly predict soil…”
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From sensor data to Munsell color system: Machine learning algorithm applied to tropical soil color classification via Nix™ Pro sensor
Published in Geoderma (01-10-2020)“…•Munsell color was accurately predicted by Nix Pro color sensor.•Mean color difference (ΔE*ab) achieved 2.9, indicating the Nix Pro accuracy.•Results achieved…”
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Tropical soil pH and sorption complex prediction via portable X-ray fluorescence spectrometry
Published in Geoderma (01-03-2020)“…•pXRF was used to predict five different soil properties in tropical soils.•Three different algorithms were tested and compared: Cubist, RF and SMLR.•Sum of…”
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Chemical and mineralogical changes in the textural fractions of quartzite-derived tropical soils, along weathering, assessed by portable X-ray fluorescence spectrometry and X-ray diffraction
Published in Journal of South American earth sciences (01-12-2021)“…The variability of mineralogical and chemical characteristics of soils reflects their parent material, the different weathering degrees and soil formation…”
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Microbiological indicators of soil quality predicted via proximal and remote sensing
Published in European journal of soil biology (01-05-2021)“…This work sought to predict soil microbiological attributes based on soil fertility and texture, elemental contents determined by portable X-ray fluorescence…”
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Soil parent material prediction for Brazil via proximal soil sensing
Published in Geoderma Regional (01-09-2020)“…•Parent material (PM) can be accurately predicted via soil chemical data.•pXRF is capable of distinguishing soil PM from different geological formations.•Soil…”
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