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Combination of Multi-Agent Systems and Wireless Sensor Networks for the Monitoring of Cattle.
Barriuso, Alberto L; Villarrubia González, Gabriel; De Paz, Juan F; Lozano, Álvaro; Bajo, Javier.
Afiliación
  • Barriuso AL; Faculty of Science, University of Salamanca, Plaza de la Merced s/n, 37002 Salamanca, Spain. albarriuso@usal.es.
  • Villarrubia González G; Faculty of Science, University of Salamanca, Plaza de la Merced s/n, 37002 Salamanca, Spain. gvg@usal.es.
  • De Paz JF; Faculty of Science, University of Salamanca, Plaza de la Merced s/n, 37002 Salamanca, Spain. fcofds@usal.es.
  • Lozano Á; Faculty of Science, University of Salamanca, Plaza de la Merced s/n, 37002 Salamanca, Spain.
  • Bajo J; Department of Artificial Intelligence, Polytechnic University of Madrid, Campus Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain. jbajo@fi.upm.es.
Sensors (Basel) ; 18(1)2018 Jan 02.
Article en En | MEDLINE | ID: mdl-29301310
Precision breeding techniques have been widely used to optimize expenses and increase livestock yields. Notwithstanding, the joint use of heterogeneous sensors and artificial intelligence techniques for the simultaneous analysis or detection of different problems that cattle may present has not been addressed. This study arises from the necessity to obtain a technological tool that faces this state of the art limitation. As novelty, this work presents a multi-agent architecture based on virtual organizations which allows to deploy a new embedded agent model in computationally limited autonomous sensors, making use of the Platform for Automatic coNstruction of orGanizations of intElligent Agents (PANGEA). To validate the proposed platform, different studies have been performed, where parameters specific to each animal are studied, such as physical activity, temperature, estrus cycle state and the moment in which the animal goes into labor. In addition, a set of applications that allow farmers to remotely monitor the livestock have been developed.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tecnología Inalámbrica Límite: Animals Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza
Texto completo
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Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tecnología Inalámbrica Límite: Animals Idioma: En Revista: Sensors (Basel) Año: 2018 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza