Forest Fire Detection and Animal Health Monitoring

May 2023
Vol-9, Issue-3
Paper ID: 20038
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information Science and Engineering
Keywords
Internet of Things(IoT) Wireless Sensor Networks Data Transmission Temperature sensor and smoke sensor Camera trap.
Abstract
Forest fires and animal health are major environmental concerns worldwide. Early detection of forest fires and monitoring the health of animals can prevent significant damage to ecosystems. In this paper, we propose a forest fire and animal monitoring system using an Arduino board and sensors. The system consists of temperature and smoke sensors, GPS modules, and a microcontroller board. The sensors collect real-time data on temperature and smoke levels, which can indicate the presence of a fire, and GPS modules track animal movement and habitat use. The system can be integrated with other systems for effective firefighting and preventing significant wildlife loss.

Author Information

# Name Institute / Affiliation
1 Shravya Rajarajeswari College of Engineering
2 Anushree K Rajarajeswari College of Engineering
3 Nischitha B Rajarajeswari College of Engineering
4 Spandana G Rajarajeswari College of Engineering
5 Dr. R Balakrishna Rajarajeswari College of Engineering
6 Dr. Neha Singhal Rajarajeswari College of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
Shravya, K, Anushree, B, Nischitha, G, Spandana, Balakrishna, Dr. R, & Singhal, Dr. Neha (2023). Forest Fire Detection and Animal Health Monitoring. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 184-191.
MLA Style
Shravya, et al. "Forest Fire Detection and Animal Health Monitoring." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 184-191.
IEEE Style
Shravya, Anushree K, Nischitha B, Spandana G, Dr. R Balakrishna, and Dr. Neha Singhal, "Forest Fire Detection and Animal Health Monitoring," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 184-191, 2023.
Vancouver Style
Shravya, K Anushree, B Nischitha, G Spandana, Balakrishna Dr. R, Singhal Dr. Neha. Forest Fire Detection and Animal Health Monitoring. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):184-191.
Harvard Style
Shravya, K, Anushree, B, Nischitha, G, Spandana, Balakrishna, Dr. R, & Singhal, Dr. Neha (2023) 'Forest Fire Detection and Animal Health Monitoring', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 184-191.
Chicago Style
Shravya, et al. "Forest Fire Detection and Animal Health Monitoring." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 184-191.
Turabian Style
Shravya, et al. "Forest Fire Detection and Animal Health Monitoring." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 184-191.

Export Citation

Related Research

DIGITAL DIVIDE AND EQUITY IN ACCESS TO INTERNET: ITS IMPACT TO LEARNERS’ ACADEMIC ACHIEVEMENT
Ladylee Paje Custodio et al. 2026 Educational technology
PDF Unavailable
A PHENOMENOLOGICAL STUDY ON THE CHALLENGES, AND COPING STRATEGIES OF SCHOOL HEADS IN USING TECHNOLOGY
MARK IAN K. DOMOSMOG 2026 Educational Leadership and Management with a focus on Educational Technology Integration
PDF Unavailable
A Comprehensive Review of Blockchain in Automotive Data Tracking
Mr Nagesh U B et al. 2026 Information Science
PDF Unavailable
A Review Paper on Deep Learning-Based Image Steganography Techniques
Dr. Rachana P et al. 2026 Information Science and Engineering
PDF Unavailable
Decentralized Voting System Using Ethereum Blockchain
Dr. D. SIVAKUMAR et al. 2026 Information Science and Engineering
PDF Unavailable
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPy
Roshani Rajesh khobragade et al. 2026 Information Technology / Computer Engineering / Machine Learning
PDF Unavailable