Land monitoring in Nigeria using geo-spatial data mining approach

摘要

The survival of human beings is in relation to the availability of land for the use of agriculture and other conservative activities. In Nigeria, a country in the Sub-Saharan Africa, improper land use is on the increase while farming at either small or large scale is being neglected and this has led to the increase in food security problem. The challenge is that the government has not been able to make crucial decisions, planning and sustainable policies on land use. In this work, Geo-spatial data analysis of a typical land area is done using filtering, feature extraction and Bayesian classifier. The result shows 92.7% classification. This will help ameliorate the challenge facing the government and lead to land adequate monitoring thereby facilitating its proper use.