Environmental monitoring using sensor data fusion

This paper deals with the implementation of data fusion technique viz. Kalman Filter in the estimation of a precise value for a set of data taken from sensors measuring various environmental aspects such as temperature, humidity and atmospheric pressure. Current research work going in this field is also discussed in brief, as well as their limitations.