Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados CIGR Journal (2) Autor Grieve, Bruce (2) Jackman, Patrick (2) Brass, Andrew (1) Gray, Alasdair J. G. (1) Hammersley, Simon (1) Kamal, Syed Shariq (1) Scuffell, Derek (1) Shi, Ming (1) Stevens, Robert (1) Mais... Palavra-chave United Kingdom. (2) Airborne vehicles (1) Artificial intelligence (1) Crop disease assessment (1) Crop spraying (1) Data queries (1) Investigation study assay (1) Online sensors (1) Optimisation (1) Pesticides (1) Sensor network (1) Web semantics (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2014 (1) 2013 (1) País China (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Minimizing flight time and fuel consumption for airborne crop spraying CIGR Journal Kamal, Syed Shariq; Jackman, Patrick; Grieve, Bruce. Abstract: With the world’s growing population and increase in urbanization, the requirement for optimized agriculture has increased.  Agricultural operations such as crop spraying and water management require rigorous monitoring of crops in order to identify the correct time to spray and irrigate the crops.  Thus managing vast properties require an affordable spraying strategy.  Advancement in computer processing speed and algorithms has made it possible to devise such strategies to optimize several agricultural operations.  One of those operations is to spray crops with pesticides and monitor crops.  This requires an airborne vehicle which can monitor and spray crops efficiently.  Several optimization techniques have been used in recent years to optimize... Tipo: Info:eu-repo/semantics/article Palavras-chave: Crop spraying; Optimisation; Airborne vehicles; Pesticides; Artificial intelligence; United Kingdom.. Ano: 2014 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2368 Processing online crop disease warning information via sensor networks using ISA ontologies CIGR Journal Jackman, Patrick; Gray, Alasdair J. G.; Brass, Andrew; Stevens, Robert; Shi, Ming; Scuffell, Derek; Hammersley, Simon; Grieve, Bruce. Growing demand for food is driving the need for higher crop yields globally.  Correctly anticipating the onset of damaging crop diseases is essential to achieve this goal.  Considerable efforts have been made recently to develop early warning systems.  However, these methods lack a direct and online measurement of the spores that attack crops.  A novel disease information network has been implemented and deployed.  Spore sensors have been developed and deployed.  The measurements from these sensors are combined with similar measurements of important local weather readings to generate estimates of crop disease risk.  It is combined with other crop disease information allowing overall local disease risk assessments and forecasts to be made.  The resulting... Tipo: Info:eu-repo/semantics/article Palavras-chave: Investigation study assay; Sensor network; Online sensors; Data queries; Crop disease assessment; Web semantics; United Kingdom.. Ano: 2013 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2369 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