Forest Fire Detection System using Zig Bee
Shivendra Kaura1, Abhinav Srivastava2, Abuzar Nasir Khan3, Raj Kumar4, Mohd. Irshad5

1Shivendra Kaura*, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
2Abhinav Srivastava, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
3
Abuzar Nasir Khan, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
4Raj Kumar, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
5Mohd. Irshad, Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 05, 2020. | Manuscript published on August 30, 2020. | PP: 15-17 | Volume-9 Issue-6, August 2020. | Retrieval Number: F1212089620/2020©BEIESP | DOI: 10.35940/ijeat.F1212.089620
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© 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: The forest fires are alone not a threat to the environment but this add on multiple factors which are threat to the environment few examples are decreasing of ground water level, landslides, global warming. These are dangerous for the animal species and few vulnerable species. In recent years few a case has been heard of forest fires in Amazon, California which damaged the flora and fauna. Scientist have also predicted that by end of twentieth century the average temperature of earth will rise by 4.4 degree Celsius. The forest fire detection will give strength to the disaster response capacity. Environmental parameters such as forest temperature and humidity can be tracked in real time. From the information gathered by the system, wildfire fighting or fire prevention decisions can be taken as quickly as possible by the respective fire departments. 
Keywords: Vulnerable species, flora and fauna, forest fire, temperature, humidity.