CV Lattes
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Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALQ) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Master in Agronomy (Soils and Plant Nutrition) at "Luiz de Queiroz" School of Agriculture, University of São Paulo (ESALQ/USP) (2022), with emphasis on the areas of geotechnology, pedometrics and remote sensing applied to soils. Agronomist at the Federal University of Santa Maria (UFSM) (2019). PhD student in Agronomy (Soils and Plant Nutrition), ESALQ/USP, with emphasis on the areas of geotechnology, pedometrics and remote sensing applied to soils. He made Scientific Initiation in pedometrics field at the UFSM Pedology Laboratory. He made an intership overseas for 6 months at the Polytechnic Institute of Bragança (IPB) in Portugal. He completed a curricular internship at GDM Genética do Brasil S/A (GDM Seeds),conducting experiments with soybean. Member of the Geotechnologies in Soil Science group (GeoCis), the Brazilian Soil Spectral Library project team and the Brazilian Program for soil analysis via spectroscopy. He has experience in remote sensing, pedometrics, digital soil mapping, machine learning, geostatistics and data mining. . (Source: Lattes Curriculum)
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Soil is the largest reservoir of carbon in earth surface. Soil organic carbon (SOC) is fundamental to soil quality and crop productivity, being directly associated with climate change mitigation and food security. Brazil has an expressive agricultural production area and a great potential for SOC sequestration. However, the spatio-temporal distribution of the SOC stock in the territory is…
Digital mapping of soil information is key for food security. Soil organic carbon (SOC) is fundamental to crop productivity and is associated with climate change mitigation. The soil productivity potential (SoilPP) allows understanding where the agricultural yields can be improved. We aim to map the spatio-temporal distribution of the SOC in Brazilian soils for layers 0-20, 20-40, 40-60, …
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