This paper is published in Volume-7, Issue-3, 2021
Area
IoT And Convolution Neural Network
Author
Sambhavi K. P., Dr. Girijamma H. A.
Org/Univ
RNS Institute of Technology, Bengaluru, Karnataka, India
Pub. Date
28 May, 2021
Paper ID
V7I3-1539
Publisher
Keywords
Arduino, Flame sensor, Gas Sensor, IoT, IR sensor

Citationsacebook

IEEE
Sambhavi K. P., Dr. Girijamma H. A.. Timely Detection of Fire and Animal Intrusion in Agricultural Land Using IoT and CNN, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sambhavi K. P., Dr. Girijamma H. A. (2021). Timely Detection of Fire and Animal Intrusion in Agricultural Land Using IoT and CNN. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Sambhavi K. P., Dr. Girijamma H. A.. "Timely Detection of Fire and Animal Intrusion in Agricultural Land Using IoT and CNN." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

Agricultural fields near forest areas often become the centre of human-animal conflict. Due to increased deforestation and destruction of wild-life habitat, animals venture out of forest areas in search of food. Other major consequence of deforestation is forest fire and poaching. As solution to the issues specified, technology can help to detect and warn potential human-animal interference near forest areas. On detection of fire near the agricultural land, pump is turned on automatically to put off the fire. On detection of movement through IR sensor, camera is turned on to identify the animal or human intruder using YOLO (You Only Look Once) algorithm. If an animal is detected, animal specific sound repellent is played to drive the animal away. If any human with weapons is identified, then an alarm is raised to alert neighbours of possible poacher and intruder. The farmer is alerted by means of an alert message.