Making World as More Green and Healthy using Data Mining Techniques

Abstract

Abstract

Trees are vital. As the biggest plants on the planet, they give us oxygen, store carbon, stabilize the soil and give life to the world's wildlife. A study from 2017 reveals the information that more than 150 acres lost every minute of every day, and 78 million acres lost every year, yet there is no proper technical solution to identify the places of deforestation and to plant trees on those places. This may lead to a dangerous future. But on the other hand the growth of technology in our day-to-day life is immeasurable and uncontrollable. So the technology can be used to control this scenario. This project is all about afforestation, which is one of the important things to save our future generations. This project is an innovative idea for making earth more green and healthy. Of course, it is a long-term project of finding the places with fewer trees and sowing seeds on those places either manually or using drone. Those seeds are selected based on the place and the current monsoon on that place so that trees could grow well by adopting themselves to the surroundings. This paper describes a better solution to prevent the loss of trees.

Keywords: KFCM, K-mean clustering, (MKFCM) Moving KFCM

Cite this Article

K. Thirumoorthy, P. Naveen Kumar, M. Arunbalaji. Making World as More Green and Healthy using Data Mining Techniques. Journal of Computer Technology & Applications. 2019; 10(1): 17–22p.