Using ubiquitous computing technology to realise scalable intelligent agricultural environments

Publication Type:

Conference Paper


In Proceedings of the 3rd IET International Conference on Intelligent Environments(IE07), Ulm University, Germany, p.564-571 (2007)


AmI, machine learning, precision agriculture


Wireless networks allow the deployment of sensing systems and actuation mechanisms at a much finer level of granularity than has been possible before. This paper is focused on connecting sensor data with actuators through a decision-making layer with learning capability. The
decision making process regarding the provision of agricultural resources is extended this by on-line monitoring significant plant and environmental parameters and by applying machine-learning algorithms for inducing rules by analysing logged datasets to determine the significant thresholds of plant-based parameters.
Using Ubiquitous Computing Technology to Realise Scalable......pdf437.25 KB