Forests are essential for preserving the intricate ecological harmony of our planet, serving as critical habitats for numerous animal species.Unfortunately, this equilibrium is increasingly jeopardized not only by illegal logging but also by the scourge of animal poaching the global demand for exotic animal parts and products fuels poaching, which presents a major menace to wildlife populations across the globe. The repercussions of poaching extend far beyond individual animals. It disrupts entire ecosystems, destabilizing predator-prey dynamics and leading to imbalances that can have cascading effects throughout the food chain.Additionally, the depletion of keystone species resulting from poaching can cause significant and enduring impacts on the general well-being and adaptability of ecosystems.To address the menace of poaching, our proposed IoT-enabled Anti-poaching system offers a multifaceted approach. While it primarily focuses on detecting and deterring illegal logging activities, it also serves as a powerful tool in combating wildlife crime. By deploying a network of sensors and employing artificial intelligence algorithms, the system can detect and respond to suspicious activities in real-time, thereby providing enhanced protection for vulnerable animal populations. The data collected by the Anti-poaching system can be invaluable for law enforcement agencies and conservation organizations in their efforts to combat wildlife trafficking networks. By leveraging technology to disrupt poaching operations and protect endangered species, we can work towards ensuring a more secure future for wildlife and the ecosystems they inhabit.In addition to its primary focus on combating illegal logging and poaching, our proposed IoT-enabled Anti-poaching system offers comprehensive protection for wildlife and their habitats. Continuously observing forested regions enables the system to identify and address various threats, including habitat encroachment, conflicts between humans and wildlife, and the introduction of invasive species. Furthermore, by utilizing advanced tracking and identification technologies, it can aid in the conservation efforts of endangered species, allowing for targeted interventions such as habitat restoration and captive breeding programs. By implementing these strategies, our Anti-poaching system plays a role in conserving biodiversity and protecting our planet's invaluable natural heritage.

Keywords:Internet Of Things, Poaching of Trees, forest fire, Animal health monitoring and tracking, Wildlife trafficking, Predator-Prey dynamics, Animal Welfare

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1. Murali, S. M., Shri, S. T., Roshini, P., Rubavathi, C. Y., Krishnan, R. S., Narayanan, K. L. (2023, April). Smart Solar Powered System for Unauthorized Logging. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 1644-1649). IEEE.
2. Kumar, M. A., Krishnan, R. S., Manimegalai, P., Gayathry, G., Ma- hanathiya, N., Abinaya, G. (2022, June). Solar operated IoT based smart system to monitor illegal logging. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 455-461). IEEE.
3. Bandaranayake, H. M. K. S., Mahamohottala, D. M. M. Y. P., Wijekoon, W. M. A. M., Sandakelum, K. M. V. T., Gamage, N., Rankothge, W. (2022, August). GreenSoal: Illegal Tree Logging Detection System Using IOT. In 2022 International Conference on ICT for Smart Society (ICISS) (pp. 01-06). IEEE.
4. Ramana Karumanchi, V., Raju, S. H., Kavitha, S., Lalitha, V. L., Krishna, S. V. (2021, March). Fully Smart fire detection and prevention in the authorized forests. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 573-579). IEEE.
5. Pushpalatha, R., Darshini, M. S. (2019). Real time forest anti-smuggling monitoring system based on IOT using GSM. Int. J. Adv. Res. Comput. Commun. Eng, 8(2).
6. Bhuta, P., Khandare, A., Shaikh, R. A. (2017, March). Protocol implementation for wireless sensor network for anti-poaching of trees. In 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) (pp. 1325-1328). IEEE.
7. Sonwane, A. D., Bhonge, V. N., Khandare, A. (2016, April). Design and development of wireless sensor node for anti-poaching. In 2016 International Conference on Communication and Signal Processing (ICCSP) (pp. 1854-1858). IEEE.
8. Gaikwad, S., Patil, R., Khandare, A., Rai, A. (2015, July). Design WSN node for protection of forest trees against poaching based on ZigBee. In 2015 IEEE international conference on electronics, computing and communication technologies (CONECCT) (pp. 1-4). IEEE.
9. Shilpa K C, Kavya S, Melvin Mathew, Nandana S, Neethu J (2020, july). IoT based Anti-Poaching System for Trees and Wildlife Monitoring System in Remote Area, In 2020 International Journal for Research in Applied Science Engineering Technology.
10. Kumar, S. S., Ravi, V., Prasad, C. R., Rao, P. R. (2020, December). Anti-poaching of trees in forest-based on IoT. In IOP Conference Series: Materials Science and Engineering (Vol. 981, No. 3, p. 032014). IOP Publishing.
11. Baraddi, P., Hanchinal, N., Jadhav, R., Banni, R. (2020). IoT based Anti- Poaching Alarm System for Valuable Trees. INTERNATIONAL JOUR- NAL OF ENGINEERING RESEARCH TECHNOLOGY (IJERT), 9(05).
12. Krishnamoorthy, M., Asif, M., Kumar, P. P., Nuvvula, R. S., Khan, B., Colak, I. (2023). A Design and Development of the Smart Forest Alert Monitoring System Using IoT. Journal of Sensors, 2023.
13. Parthiban, M., Dharani, M., Kathiga, S., Keruthika, M. (2019). IOT Based Anti-Poaching Sensor System for Trees in Forest. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN, 2278-3075.
14. Patil, P. R., Patil, V. T. (2020). Smart Forest: An IoT Based Forest Safety and Conservation System. International Journal of Scientific Technology Research, 9(03).
15. A Sushma Sree, Kappalabanda Deepthi, Katika Nikhil, Santhosh G (2023, May). In 2023 International Journal of Research Publication and Reviews (vol. 4, No. 3)

Forests are essential for preserving the intricate ecological harmony of our planet, serving as critical habitats for numerous animal species.Unfortunately, this equilibrium is increasingly jeopardized not only by illegal logging but also by the scourge of animal poaching the global demand for exotic animal parts and products fuels poaching, which presents a major menace to wildlife populations across the globe. The repercussions of poaching extend far beyond individual animals. It disrupts entire ecosystems, destabilizing predator-prey dynamics and leading to imbalances that can have cascading effects throughout the food chain.Additionally, the depletion of keystone species resulting from poaching can cause significant and enduring impacts on the general well-being and adaptability of ecosystems.To address the menace of poaching, our proposed IoT-enabled Anti-poaching system offers a multifaceted approach. While it primarily focuses on detecting and deterring illegal logging activities, it also serves as a powerful tool in combating wildlife crime. By deploying a network of sensors and employing artificial intelligence algorithms, the system can detect and respond to suspicious activities in real-time, thereby providing enhanced protection for vulnerable animal populations. The data collected by the Anti-poaching system can be invaluable for law enforcement agencies and conservation organizations in their efforts to combat wildlife trafficking networks. By leveraging technology to disrupt poaching operations and protect endangered species, we can work towards ensuring a more secure future for wildlife and the ecosystems they inhabit.In addition to its primary focus on combating illegal logging and poaching, our proposed IoT-enabled Anti-poaching system offers comprehensive protection for wildlife and their habitats. Continuously observing forested regions enables the system to identify and address various threats, including habitat encroachment, conflicts between humans and wildlife, and the introduction of invasive species. Furthermore, by utilizing advanced tracking and identification technologies, it can aid in the conservation efforts of endangered species, allowing for targeted interventions such as habitat restoration and captive breeding programs. By implementing these strategies, our Anti-poaching system plays a role in conserving biodiversity and protecting our planet's invaluable natural heritage.

Keywords:Internet Of Things, Poaching of Trees, forest fire, Animal health monitoring and tracking, Wildlife trafficking, Predator-Prey dynamics, Animal Welfare

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Murali, S. M., Shri, S. T., Roshini, P., Rubavathi, C. Y., Krishnan, R. S., Narayanan, K. L. (2023, April). Smart Solar Powered System for Unauthorized Logging. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 1644-1649). IEEE.
2. Kumar, M. A., Krishnan, R. S., Manimegalai, P., Gayathry, G., Ma- hanathiya, N., Abinaya, G. (2022, June). Solar operated IoT based smart system to monitor illegal logging. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 455-461). IEEE.
3. Bandaranayake, H. M. K. S., Mahamohottala, D. M. M. Y. P., Wijekoon, W. M. A. M., Sandakelum, K. M. V. T., Gamage, N., Rankothge, W. (2022, August). GreenSoal: Illegal Tree Logging Detection System Using IOT. In 2022 International Conference on ICT for Smart Society (ICISS) (pp. 01-06). IEEE.
4. Ramana Karumanchi, V., Raju, S. H., Kavitha, S., Lalitha, V. L., Krishna, S. V. (2021, March). Fully Smart fire detection and prevention in the authorized forests. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 573-579). IEEE.
5. Pushpalatha, R., Darshini, M. S. (2019). Real time forest anti-smuggling monitoring system based on IOT using GSM. Int. J. Adv. Res. Comput. Commun. Eng, 8(2).
6. Bhuta, P., Khandare, A., Shaikh, R. A. (2017, March). Protocol implementation for wireless sensor network for anti-poaching of trees. In 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) (pp. 1325-1328). IEEE.
7. Sonwane, A. D., Bhonge, V. N., Khandare, A. (2016, April). Design and development of wireless sensor node for anti-poaching. In 2016 International Conference on Communication and Signal Processing (ICCSP) (pp. 1854-1858). IEEE.
8. Gaikwad, S., Patil, R., Khandare, A., Rai, A. (2015, July). Design WSN node for protection of forest trees against poaching based on ZigBee. In 2015 IEEE international conference on electronics, computing and communication technologies (CONECCT) (pp. 1-4). IEEE.
9. Shilpa K C, Kavya S, Melvin Mathew, Nandana S, Neethu J (2020, july). IoT based Anti-Poaching System for Trees and Wildlife Monitoring System in Remote Area, In 2020 International Journal for Research in Applied Science Engineering Technology.
10. Kumar, S. S., Ravi, V., Prasad, C. R., Rao, P. R. (2020, December). Anti-poaching of trees in forest-based on IoT. In IOP Conference Series: Materials Science and Engineering (Vol. 981, No. 3, p. 032014). IOP Publishing.
11. Baraddi, P., Hanchinal, N., Jadhav, R., Banni, R. (2020). IoT based Anti- Poaching Alarm System for Valuable Trees. INTERNATIONAL JOUR- NAL OF ENGINEERING RESEARCH TECHNOLOGY (IJERT), 9(05).
12. Krishnamoorthy, M., Asif, M., Kumar, P. P., Nuvvula, R. S., Khan, B., Colak, I. (2023). A Design and Development of the Smart Forest Alert Monitoring System Using IoT. Journal of Sensors, 2023.
13. Parthiban, M., Dharani, M., Kathiga, S., Keruthika, M. (2019). IOT Based Anti-Poaching Sensor System for Trees in Forest. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN, 2278-3075.
14. Patil, P. R., Patil, V. T. (2020). Smart Forest: An IoT Based Forest Safety and Conservation System. International Journal of Scientific Technology Research, 9(03).
15. A Sushma Sree, Kappalabanda Deepthi, Katika Nikhil, Santhosh G (2023, May). In 2023 International Journal of Research Publication and Reviews (vol. 4, No. 3)