Paper Title
Artificial Intelligence and Environmental Prediction

A compelling insurance of our condition is generally reliant on the nature of the accessible data used tosettle on a fitting choice. Issues emerge when the amounts of accessible data are immense and non uniform (i.e., originating from various teaches or sources) and their quality couldn't be expressed ahead of time. Another related issue is the dynamical idea of the issue. PCs are focal in contemporary ecological assurance in undertakings, for example, checking, information investigation, correspondence, data stockpiling and recovery, so it has been normal to attempt to incorporate and upgrade every one of these errands with Artificial Intelligence information based methods. This paper presents a diagram of the effect of Artificial Intelligence methods on the definition and improvement of Environmental Decision Support Systems (EDSS) during the most recent fifteen years. The audit features the alluring highlights that an EDSS must show. The paper closes with a determination of effective applications to a wide scope of natural issues. Keywords - Environmental Decision Support Systems, Artificial Intelligence, Problem Solving