Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 2
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
A study on the detection of cattle in UAV images using deep learning. Repositório Alice
BARBEDO, J. G. A.; KOENIGKAN, L. V.; SANTOS, T. T.; SANTOS, P. M..
Abstract: Unmanned aerial vehicles (UAVs) are being increasingly viewed as valuable tools to aid the management of farms. This kind of technology can be particularly useful in the context of extensive cattle farming, as production areas tend to be expansive and animals tend to be more loosely monitored. With the advent of deep learning, and convolutional neural networks (CNNs) in particular, extracting relevant information from aerial images has become more effective. Despite the technological advancements in drone, imaging and machine learning technologies, the application of UAVs for cattle monitoring is far from being thoroughly studied, with many research gaps still remaining. In this context, the objectives of this study were threefold: (1) to...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Veículo aéreo não tripulado; Redes neurais; Drone; Aprendizado profundo; Convolutional neural networks; Deep learning; Canchim breed; Nelore breed; Gado de Corte; Gado Canchim; Gado Nelore; Cattle; Unmanned aerial vehicles.
Ano: 2019 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1116449
Imagem não selecionada

Imprime registro no formato completo
Perspectives on the use of unmanned aerial systems to monitor cattle. Repositório Alice
BARBEDO, J. G. A.; KOENIGKAN, L. V..
The use of unmanned aerial systems (UASs) in agriculture has been growing steadily in the last decade, but their use to monitor and count cattle has been very limited. This article analyses the reasons for this apparent lack of progress, considering both the technical challenges and the difficulties in defining target users who would benefit from a UAS-based system for monitoring cattle. Such an analysis is combined with the findings reported in several investigations dedicated to counting and monitoring wildlife to draw a comprehensive picture on the current situation, to suggest possible solutions to technical issues and to delineate applications that could be useful to both cattle farmers and governments. The text concludes by showing that there are...
Tipo: Artigo em periódico indexado (ALICE) Palavras-chave: Processamento de imagem; Veículo aéreo não tripulado; Drone; Unmanned aerial systems; Unmanned aerial vehicle; Image processing; Pecuária; Image analysis; Livestock; Cattle.
Ano: 2018 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1097246
Registros recuperados: 2
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional