CV Lattes
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Ministério da Agricultura, Pecuária e Abastecimento (Brasil). Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Embrapa Agricultura Digital (Institutional affiliation from the last research proposal) Birthplace: Brazil
bachelor's at Ciência da Computação from Universidade de São Paulo (2000), master's at Computer Science from Universidade de São Paulo (2004) and doctorate at Computer Science from Universidade de São Paulo (2009). He has experience in Computer Science, focusing on Graphical Processing (Graphics), acting on the following subjects: computer vision-based phenotyping, plant archictecture, computer-vision-based metrology. (Source: Lattes Curriculum)
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Projections of world population show that there will be a greater demand for food, fiber and energy, requiring an increase in agricultural productivity, cost reduction and sustainable use of natural resources. In addition, factors such as changes in final consumer market habits, increased incidence of extreme weather events, the longevity of the urban population and the labor shortages in…
Automation in industrial settings often relies on structured or semi-structured environments. From robotized industrial pipelines to traffic aware car navigation, structure is employed in some way to provide automated services. However, natural and agricultural environments lack structured data, constraining automation in field to limited vehicle auto-guidance. The acquisition of the envi…
The project focuses on developing panoptic segmentation models for fruit cultivation in images captured at ground level and aerial images obtained by drones. The main activities include:(i) organizing image databases for fruit cultivation,(ii) developing new annotation methodologies to facilitate panoptic segmentation, considering interactive tools and new foundational models,(iii) integr…
To operate autonomously in an unstructured, complex environment like agricultural crop fields, machines need 3-D scene understanding: a machine reasoning-based process to detect structures of interest and their three-dimensional spatial organization and pose. The recent success of deep neural networks (DNN) in several artificial intelligence problems has made some researchers to say that …
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