IOT Based Forest Fire Prediction and Detection
N. Saranya1, S. Sahana2, B. Suganthi3, R. K. Vijaynigilesh4, T. Vivin5
1Mrs. N. Saranya*, Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore.
2S. Sahana, Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore.
3B. Suganthi, Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore.
4R. K. Vijaynigilesh, Student, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore.
5T. Vivin, Student ,Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on April 10, 2020. | PP: 1835-1838 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3914049620/2020©BEIESP | DOI: 10.35940/ijitee.F3914.049620
Open Access | Ethics and Policies | Cite | Mendeley
© 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: In recent days, satellite-based surveillance gadget is used to notice wooded area hearth however this works when fireplace is unfold in the massive area. So these methods are no longer efficient. According to a survey, about 80% losses are accumulated in the woodland due to the late detection of fire. To overcome this two, we proposed a new method to predict and the fire at early stages . In our proposed method the hardware kit with temperature and humidity sensor is connected to the PC and it is deployed in many places in the forest area. The PC is connected with the Internet . The details collected using sensor is upload with the fixed interval time. Then this data is uploaded to the cloud application. If the forest temperature is increased abnormally this will detect send notification to the forest authorities then the fire alarm will rung .It can also predict the fire that will be occur in future by using machine learning . This is done by using KNN algorithm. This can be used in all kind of forest and considering the effectiveness of the sensors it be also used in industrial areas.
Keywords: DHT11 Sensor , ARDUINO , Raspberry Pi.
Scope of the Article: Forest Genomics and Informatics