In this proposed system forest disaster like forest fireflood will be monitoring through the wireless sensor network. Moreover the climate change will affect forest total area. So, we are analysing climate change effect in forest area. In this proposed system we can detect human illegal activity. Moreover we can monitor animal migration. It will helpful for animal research and animal growth census. So, this proposed system is multiple purpose we can use it. We are fixing the various sensor, actuators, CCTV camera etc into the forest area. So, this sensor operated through the wireless sensor network. There are various information come from forest will be stored into the cloud storage. These cloud data will be analysed using the big data analytics. Based on this analysis we are improving the forest area as well as animal growth. So, we improve the biodiversity in the forest environment. If rainy season there is a flood occurred in the forest. It will analysed and intimate to the plain area people. Moreover if the summer period there is forest fire occurred. So, we detect forest fire and that will destroy. Moreover the forest animal likes elephant, tiger which come from forest area to people living area. So, it will be immediately detect and appropriate action will be taken immediately. So, the proposed System is the multipurpose system. It will applicable to rain forest, mangrove forest etc. This proposed system is operating through the IOT, cloud computing, big data analytics and wireless sensor network.

IOT, Sensor, Cloud Computing, Wireless Sensor Network

[1]. Forest Cover Report by Forest Survey of India, Ministry of Environment, Forest and Climate change
[2]. International Forest policy by Report from the Secretariat for International Forestry Issues, SIFI.
[3]. Motion Sensor and its usage taken from Various website.
[4]. Climate change details taken from Forest cover report , Ministry of Environment, Forests and Climate Change
[5]. Indian state forst Forest Report 2017 released by Ministry of Environment
[6]. Scheme for Flood Control and Flood Forecasting released by Union Government, Ministry of Water resources, River Development and Ganga Rejuvenation.
[7]. Annual Report 2017-2018 from Ministry of Environment, Forest and Climate change.
[8]. Yifan Bo “The Application of Cloud Computing and the Internet of Things in Agriculture and Forestry” IEEE Conference on May25-27, 2011 at taipei,Taiwan.
[9]. Abdalhaq B, Cortés A, Margalef T, Luque E. 2005. Enhancing wild land fire prediction on cluster systems applying evolutionary optimization techniques. Future Generation Comp. Syst. 21(1): 61-67 Crossref, Google Scholar.
[10]. Alexis K, Nikolakopoulos G, Tzes A, Dritsas L. 2009. Coordination of helicopter UAVs for aerial forest-fire surveillance. Applications of intelligent control to engineering systems. : 169-193 Crossref, Google Scholar.
[11]. Alonso-Betanzos A, Fontenla-Romero O, Guijarro-Berdiñas B, Hernández-Pereira E, Andrade MIP, Jiménez E, Soto JLL, Carballas T. 2003. An intelligent system for forest fire risk prediction and firefighting management in Galicia. Expert Syst. Appl. 25(4): 545-554 Crossref, Google Scholar.
[12]. Ambrosia, V. 2002. Remotely piloted vehicles as fire imaging platforms: the future is here [online]. Available from http://geo.arc.nasa.gov/sge/UAVFiRE/completeddemos.html [accessed 28 February 2015]. Google Scholar
[13]. Arrue BC, Ollero A, Martinez-de Dios, JR. 2000. An intelligent system for false alarm reduction in infrared forest-fire detection. IEEE Intell. Syst. 15(3): 64-73 Crossref, Google Scholar.
[14]. Beard RW, McLain TW, Nelson DB, Kingston D, Johanson D. 2006. Decentralized cooperative aerial surveillance using fixed-wing miniature UAVs. Proc. IEEE 94(7): 1306-1324 Crossref, Google Scholar.
[15]. Berni JAJ, Zarco-Tejada PJ, Surez L, Fereres E. 2009. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans. Geosci. Remote Sens. 47(3): 722-738 Crossref, Google Scholar.
[16]. Bosch, I., Serrano, A., and Vergara, L. 2013. Multisensor network system for wildfire detection using infrared image processing. Sci. World J., Article ID 402196. 10.1155/2013/402196. Crossref, Google Scholar.