[3] Ontologies and other semantic technologies can be key enabling technologies for sensor networks because they will improve semantic interoperability and integration, as well as facilitate reasoning, classification and other types of assurance and automation not included in the Open Geospatial Consortium (OGC) standards.
It was then picked up in the joint OGC and W3C Spatial Data on the Web Working Group and published as a W3C Recommendation.
A number of projects have used it for improved management of sensor data on the Web, involving annotation, integration, publishing, and search.
The rapid development and deployment of sensor technology is intensifying the existing problem of too much data and not enough knowledge [1].
Environmental attributes that are critical for growers are mainly temperature, moisture, pH, electric conductivity (EC), and more.
Moreover, OCG is supported by industry, government, and academic partners to allow for easy creation of geo-processing technologies known as “plug and play”.
Current challenges in the SSW field include a lack of standardization, which slows down the growth rate of sensors created to measure things.
There is also the problem of inconsistency, such that when changing the architecture of an existing solution, the system logic will no longer hold.
In order to resolve this problem, there is a need for an extensive amount of resources (depending on the size and complexity of system).
In order for the old system to improve, there is a need of allocating extra bits and changing the buffer requirements, which is costly.