  The paper introduces a real-time monitoring and forecasting system for
ecological phenomena. The process yields a collection of ecological parameters
viewed as distributed time series, which are measured by means of wireless
network of sensors. The acquired data are preliminary processed and modeled by
using complex algorithms in view of prediction. There are three graphical user
interfaces implemented within the monitoring and forecasting system: eko-View
and eko-Greenhouse (which directly interacts with the process) and eko-Forecast
(which estimates the future evolution of some ecological parameters). The
monitoring system was effectively integrated in an industrial application
dealing with automatic irrigation of a small greenhouse. The forecasting
simulation results with real data and a comparative assessment of predictor
performances are presented in the end.
