CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Faculdade de Ciências Agrárias e Veterinárias (FCAV) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Ph.D. candidate in the Graduate Program in Agronomy (Plant Production) at São Paulo State University, Jaboticabal campus (Unesp/FCAV), with research funded by FAPESP (grant no. 22/16084-8). Conducting a research stay abroad at Ghent University, Belgium (grant no. 24/23051-4). Holds a Masters degree in Agronomy (Plant Production) from São Paulo State University, Jaboticabal campus (Unesp/FCAV), with research funded by CNPq (grant no. 130065/2022-6). Holds an associate degree in Precision Agriculture Mechanization from Shunji Nishimura College of Technology, Pompéia campus. Has experience in private-sector research, having collaborated with the Application Technologies Laboratory, Validation Sector, at the Research and Development Center of the Jacto Group. Develops applied research in the fields of precision and digital agriculture, remote sensing, computer vision, agricultural mechanization and spraying technology. (Source: Lattes Curriculum)
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The digital revolution is driving agricultural systems and directly helping in decision-making. However, the unfriendly use and the lack of techonology for tomato crop monitoring dramatically marginalize the farmer. Remote sensing techniques with high-efficiency systems can overcome this challenge. Therefore, here the objective is to develop a open-source framework to monitor tomato cro g…
Current digital and precision agriculture research largely relies on UAV workflows that generate orthomosaics from nadir-view imagery. This approach excludes valuable data from alternative viewing angles and introduces blending steps during image processing. This issue may be particularly critical for specialty crops, such as staking tomatoes, which are highly anisotropic, with vertical c…
| 1 / 1 | Completed scholarships in Brazil |
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