Processing online crop disease warning information via sensor networks using ISA ontologies

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.