Data/hora: 13/06/2024 08:06:28

Provedor de dados: | 111
País: | China
Título: | Processing online crop disease warning information via sensor networks using ISA ontologies
Autores: | Jackman, Patrick; Gray, Alasdair J. G.; Brass, Andrew; Stevens, Robert; Shi, Ming; Scuffell, Derek; Hammersley, Simon; Grieve, Bruce.
Data: | 2013-07-01
Ano: | 2013
Palavras-chave: | Investigation study assay; Sensor network; Online sensors; Data queries; Crop disease assessment; Web semantics; United Kingdom.
Resumo: | 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 data is published through a SPARQL endpoint to support reuse and connection into the linked data cloud.   Keywords: investigation study assay, sensor network, online sensors, data queries, crop disease assessment, web semantics
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.cigrjournal.org/index.php/Ejounral/article/view/2369
Editor: | International Commission of Agricultural and Biosystems Engineering
Relação: | http://www.cigrjournal.org/index.php/Ejounral/article/view/2369/1787
Formato: | application/pdf

Fonte:

Agricultural Engineering International: CIGR Journal; Vol 15, No 3 (2013): CIGR Journal; 243-251

1682-1130