Predictive Analysis for Identifying the Relationship between Forest Cover and Tiger Population
P. Shenbagam1, N. Rajkumar2
1P. Shenbagam, Department of Information Technology, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2N. Rajkumar, Department of Computer Science and Engineering, Nehru Institute of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 24 December 2018 | Manuscript Published on 09 January 2019 | PP: 328-330 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2019017519/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper analyzes the forest cover in India as a whole and also in terms of states. The species growth with respect to the forest cover and the survival of species based on their Kingdoms of Classification is studied. The dependencies between the forest covers of India with the flora of India is studied. With respect to fauna, this paper discusses the state population of India’s national animal, Tiger and its relationship to the degree of deforestation over years. This also studies the wasteland cover and the areas of improvement for the betterment of Indian flora and vegetation. This also checks for relationships, dependencies and variations between flora and fauna to obtain patterns for improving the Indian Ecosystem.
Keywords: Environment, Prediction Analysis, Forest Cover, Deforestation, Tiger Population.
Scope of the Article: Predictive Analysis