Postdoctoral researcher at Embrapa Digital Agriculture, funded by FAPESP. Previously worked as a TT-5 FAPESP fellow and as a assisting professor at São Paulo State University (Unesp), campus of Presidente Prudente (FCT/Unesp). Ph.D. in Cartographic Science, specializing in Acquisition, Analysis and Representation of Spatial Information from São Paulo State University (UNESP), Presidente Prudente campus (FCT/UNESP). The Ph.D. research was funded by CNPq and included a mobility year at the Finnish Geospatial Research Institute (FGI) in Finland, supported by the CAPES-PRINT program. Master's degree in Cartographic Science from the same institution (20182020), funded by CAPES, and Bachelor's degree in Cartographic Engineering from FCT/Unesp (20132018), during which also worked as an undergraduate research fellow (PIBIC). She develops research in Geosciences, with emphasis on Photogrammetry and Remote Sensing, working mainly in the following areas: mobile mapping, LiDAR (terrestrial and mobile), GNSS/IMU/sensor integration, point cloud registration, image matching, camera calibration, non-conventional sensor modeling, and applications in digital agriculture and forestry. (Source: Lattes Curriculum)
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The rapid diagnosis of stresses in economically valuable plants is essential to ensure food security and prevent greater losses resulting from the spread of such conditions. Two main challenges can hinder this goal: (1) the continuous monitoring of all plants by individuals capable of detecting stress is, in most cases, unfeasible; and (2) in many cases, the person who identifies the symp…
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