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Felipe Bachion de Santana

CV Lattes ResearcherID ORCID

Research Interests My Researcher is focused on the development of a fast, robust, precise and accurate methodologies based on the use of MIR (DRIFT), NIR and XRF spectroscopy in tandem with Chemometrics and Machine Learning regression and classification algorithms (Random Forest, Cubistic, Support vector Machine, Artificial neural network, PLS, PCA and PLS-DA) to determine soil attributes used on Soil Science, i.e. Soil particle size (sand, clay and silt) %OM, pH, P, K, Al, CEC, among others. My research areas are: Chemometrics and Machine learning algorithms FTIR, NIR, XRF, Raman spectroscopy NIR, FTIR and Raman Hyperspectral imaging Handheld and portable spectrometers for field analysis Benchtop spectrometers Spectroscopy instrumentation You can get more details in my website page (Source: Lattes Curriculum)

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