Decision Support System for Visualization of Tree Plantation in Upper Sindh
Due to the rapid change in climate, visualization of environmental factors over a Geo graphic map using machine learning techniques have become one of the active research area(s) of computer science. Since the trees are considered one of the biggest environmental cleaning contributing factor. Specially; tree plantation is one of the important problem around the globe to improve the environmental variables. For example, raise of temperature, impurity of water and many other problems are associated with the huge number of tree cuts and replantation of trees as per requirements will help to combat the ecological problems in upper Sindh, Pakistan. This paper attempts to get attention of concerned stockholders such as (government, NGOs (Non Government organizations) and so on) to properly formulate the policies for replantation of trees and to reestablish the ecological system. In order to address all above stated problems, this paper proposes a system for the restoration of environmental factors so called "Decision Support System for Visualization of Tree Plantation in Upper Sindh" which offers a forecasting system using machine learning techniques and visualization of results over a geographic map using Q GIS (Geographic information system) This paper contributes three contributions (1) a methodology to fill the missing values by constructing the decision model on historical data (2) forecasting of critical regions for tree plantation on geographic information system and (3) overall best accuracy for tree plantation problem which is estimated as 96.53% with 10 k fold cross validation.