Detalhes bibliográficos
Ano de defesa: |
2013 |
Autor(a) principal: |
Silva, Daurimar Mendes da
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Orientador(a): |
Dias, Ariangelo Hauer
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Banca de defesa: |
Mathias, Ivo Mario
,
Justino, Altair
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Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
UNIVERSIDADE ESTADUAL DE PONTA GROSSA
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Programa de Pós-Graduação: |
Programa de Pós Graduação Computação Aplicada
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Departamento: |
Computação para Tecnologias em Agricultura
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País: |
BR
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://tede2.uepg.br/jspui/handle/prefix/175
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Resumo: |
In the future it will be essential to robotics in the agricultural environment, with great opportunity at this time to development new work and research, with the generation of patents, transforming knowledge into commercial products. The current technological advances allow the use of extremely minor processing architectures in relation to personal computers, giving us the ability to build new agricultural equipment using sensors (GPS, ultrasound, multispectral visible, infrared, images); changing paradigms and promoting the work at smaller scales can reach the leaf level through intelligent autonomous robots acting in the desired place, at the appropriate time, and navigating the appropriate path. Thus, the present study aimed to develop an autonomous agricultural robot (Field Robot) called NAVIGO, whose function is to traverse farmland collecting soil samples. To that end, we developed a mobile platform with a robotic arm using embedded computing system based on the Android mobile phone (Smartphone) and IOIO for Android controller. The system as a whole is intended to navigation in the role of information gatherer (soil amples). Results showed stable performance of the prototype allowing its use as a handy tool in performing the sampling of soils for agricultural areas for small and medium businesses. |