Smart Forest Security and Monitoring System

Authors

  • Prasad Ramchandra Mavarkar Lecturer, Electronics and Communications Engineering, Government Polytechnic College Rabakavi – Banahatti, Karnataka, India Author
  • Jayachandra C Lecturer, Department of Science, Government Polytechnic College Rabakavi – Banahatti, Karnataka, India Author
  • Bharat Gadivaddar Electronics and Communications Engineering, Government Polytechnic College Rabakavi – Banahatti, Karnataka, India Author
  • Spoorti Magadum Electronics and Communications Engineering, Government Polytechnic College Rabakavi – Banahatti, Karnataka, India Author
  • Kavya Huggi Electronics and Communications Engineering, Government Polytechnic College Rabakavi – Banahatti, Karnataka, India Author
  • Ranjita H Electronics and Communications Engineering, Government Polytechnic College Rabakavi – Banahatti, Karnataka, India Author

Keywords:

Forest Security, Smuggling, GPS, GSM

Abstract

Trees are the most important of our planet, not only in forest but also in countless another ecosystem. trees play an important role in maintaining biodiversity & providing food & Habitat for countless microorganism, The objective of this project is recognizing the enemy of the most important robbery in the forest regions. The theft & illegal development of commercial trees such as Sandalwood, Teak, Sagwan etc. these trees are the most valuable in the world. This is used in medical science & in addition beauty care products because of the carge amount of money Involve in such sales of tree trunks & many indicates occurs by cutting a type & their smuggling.

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References

Forest – Wikipedia

Kataria, B., Jethva, H.B., Shinde, P.V., Banait, S.S., Shaikh, F., Ajani, S. (2023). SLDEB: Design of a secure and lightweight dynamic encryption bio-inspired model for IoT networks. International Journal of Safety and Security Engineering, Vol. 13, No. 2, pp. 325-331. https://doi.org/10.18280/ijsse.130214

Shivadekar, S., Kataria, B., Limkar, S. et al. Design of an efficient multimodal engine for preemption and post-treatment recommendations for skin diseases via a deep learning-based hybrid bioinspired process. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08709-5

Shivadekar, S., Kataria, B., Hundekari, S. ., Kirti Wanjale, Balpande, V. P., & Suryawanshi, R. . (2023). Deep Learning Based Image Classification of Lungs Radiography for Detecting COVID-19 using a Deep CNN and ResNet 50. International Journal of Intelligent Systems and Applications in Engineering, 11(1s), 241–250. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2499.

Bhavesh Kataria, Dr. Harikrishna B. Jethva (2021). Optical Character Recognition of Sanskrit Manuscripts Using Convolution Neural Networks, Webology, ISSN: 1735-188X, Volume 18 Issue 5, October-2021, pp. 403-424. Available at https://www.webology.org/abstract.php?id=1681

International Journal of Scientific Research in Science, Engineering and Technology

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Published

11-04-2024

Issue

Vol. 11 No. 2 (2024): March-April

Section

Research Articles

License

Copyright (c) 2024 International Journal of Scientific Research in Science, Engineering and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prasad Ramchandra Mavarkar, Jayachandra C, Bharat Gadivaddar, Spoorti Magadum, Kavya Huggi, and Ranjita H, “Smart Forest Security and Monitoring System”, Int J Sci Res Sci Eng Technol, vol. 11, no. 2, pp. 234–237, Apr. 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://ijsrset.com/index.php/home/article/view/IJSRSET2411237

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