Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz (ESALQ) (Institutional affiliation from the last research proposal) Birthplace: Brazil
I hold a degree in Agronomic Engineering from the Luiz de Queiroz College of Agriculture (ESALQ - USP). Currently, I am pursuing a Master's degree in Soil and Plant Nutrition at ESALQ-USP, specializing in the field of Remote Sensing Applied to Soils. My primary research interests lie in the application of geotechnologies and data science to aid decision-making in agriculture and the environment. In my Master's program, I am utilizing geotechnologies to develop digital maps of soil attributes for inferring the health of Brazilian soils. I have experience in using proximal sensors in agriculture, artificial vision, analysis of multispectral images obtained by UAVs and satellites, acquisition and analysis of data obtained by hyperspectral sensors, geographic information systems, advanced geoprocessing applied to soil mapping in large areas, and proficiency in programming languages such as R, Python, and Google Earth Engine. My focus is primarily on solving problems related to machine learning, predictive modeling, data science, and statistical analysis. (Source: Lattes Curriculum)
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The soil is an essential component of the global greenhouse gas (GHG) cycle, playing a crucial role in environmental sustainability and agricultural productivity. The dynamics of chemical attributes, such as carbon (C) and pH, directly influence both the emission and mitigation of GHGs, as well as impact soil fertility and the efficiency of agricultural management. In Brazil, with its vas…
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