- Research Grants
Jayme Garcia Arnal Barbedo has received his bachelor degree in Electrical Engineering from the Federal University of Mato Grosso do Sul (1998), and his master and Ph.D. degrees from the State University of Campinas in 2001 and 2004, respectively. He worked at CPqD Computer and IT Solutions between 2004 and 2005, helping with the studies to define the Brazilian Digital Television Standard. He conducted post-doctoral research at Harvard University (Cambridge, Massachusetts, USA) between 2006 and 2007, and at University of Victoria (Victoria, British Columbia, Canada) between 2008 and 2009. Between 2005 and 2011, he acted as a collaborator researcher at the School of Electrical and Computer Engineering (FEEC) of the State University of Campinas (Unicamp), working with a variety of audio signal processing problems and advising two masters students. Since 2011, he works as a Senior Researcher at the Agricultural Informatics unit (Campinas, SP) of the Brazilian Agricultural Research Corporation (Embrapa). His current areas of interest include: use of image processing and machine learning for plant disease recognition; use of hyperspectral imagery for detection of diseases and toxins in wheat kernels; detecting and counting ticks in cattle using thermal imagery; classification of fish diseases using digital images; use of drones for cattle monitoring in the field; use of satellite images for classification of crops; among others. (Source: Lattes Curriculum)
Monitoring livestock population is an essential part of the farm management. However, this may not be a trivial task, especially in large properties adopting extensive stockbreeding, which is common in countries like Brazil. In this context, aerial surveys arise as a potential solution. Satellite images are not well suited for this task because most sensors do not have enough spatial re...
The fast diagnosis of diseases in plants with economical value is essential to ensure food safety and avoid major losses caused by the spread of the malady. Two main problems may hamper such an objective: 1) permanently monitoring the whole crop by people capable of detecting the diseases is, in most cases, not viable; 2) in many cases the person that detects the symptoms does not have ...
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
|Data from Web of Science|
(References retrieved automatically from State of São Paulo Research Institutions)
BARBEDO, Jayme Garcia Arnal. Avaliação objetiva de qualidade de codecs de voz na faixa de telefonia. 2001. Dissertação (Mestrado) - Faculdade de Engenharia Eletrica e de Computação. Universidade Estadual de Campinas.
BARBEDO, Jayme Garcia Arnal. Avaliação objetiva de qualidade de sinais de áudio e voz. 2004. 153f. Tese (Doutorado) – Faculdade de Engenharia Elétrica e de Computação. Universidade Estadual de Campinas (UNICAMP). Campinas.
PROCESSO PARA MEDIDA OBJETIVA DE QUALIDADE DE SINAIS DE ÁUDIO - MOQA PI0404090-2 - Universidade Estadual de Campinas (UNICAMP). Amauri Lopes; Jayme Garcia Arnal Barbedo - September 2004, 17