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
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 Digital Agriculture unit (Campinas, SP) of the Brazilian Agricultural Research Corporation (Embrapa). His current areas of interest include: use of image processing and artificial intelligence for plant disease recognition; use of hyperspectral imagery for detection of diseases and toxins in grains and plants; detecting and counting ticks in cattle using thermal imagery;fish counting 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)
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The recent approval of the Center for Development in Digital Agriculture (CCD-AD), financed by Fapesp through process 2022/09319-9, enabled the development of research with broad potential for practical use. The objective of the Center to overcome the inequalities in agriculture by means of research, development and innovation (RD&I) aimed toward the improvement of production and producti…
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 reso…
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 th…
Brazilian agribusiness, like other economic sectors, has been undergoing modernization through the widespread adoption of digital technologies in the field. Digital transformation in agriculture can contribute to the development of solutions to address future challenges of various kinds that are being faced globally. Technological advancement leads to the increasing use of equipment that …
Recently, the use of new technologies has been growing, aiming to increase agriculturalproduction, without neglecting food quality and the sustainable use of natural resources. Inthis sense, many research projects have been carried out using Internet of Things conceptsaimed at precision agriculture.In this context, this work presents a solution for monitoring soil moisture, ambienttempera…
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…
(Only some records are available in English at this moment)
The management of large areas dedicated to cattle farming is difficult and, in many cases, it is flawed, especially in the case of extensive production systems. With the popularization of unmanned aerial vehicles (UAVs, also known as drones), high-resolution aerial images can be obtained at relatively low costs. Although this is a promising technology, it is difficult to achieve its full …
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| 7 / 7 | Ongoing scholarships in Brazil |
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