D. Dharani,
Ateetha Santhosh,
D. Hemavadhana,
N. Nachammai,
- Assistant Professor, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India
- Student, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India
- Student, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India
- Student, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India
Abstract
Wildlife monitoring plays a crucial role in understanding and conserving biodiversity, but traditional methods often have limitations in scope, accuracy, and ethical impact. Advances in multimodal technologies such as drones, acoustic sensors, environmental DNA (eDNA), and camera traps offer new avenues for gathering rich, non-invasive data. However, the integration of these technologies comes with a range of challenges, particularly in terms of ethical concerns related to animal welfare, data management, and environmental impact. This paper explores how combining these advanced technologies with ethical guidelines can address these challenges, creating a balanced approach to wildlife monitoring. By emphasizing the use of non-invasive techniques, sustainability, and ethical principles, this paper aims to propose practical solutions for modern wildlife monitoring and conservation efforts, ensuring that technological advancements support both scientific progress and ethical responsibility. Poaching, species extinction, habitat loss, and climate change are just a few of the many issues facing wildlife monitoring today. Data collection and analysis have been transformed by the integration of multimodal technologies including unmanned aerial vehicles (UAVs), bioacoustics, artificial intelligence (AI), and remote sensing. However, a clear ethical framework is required due to the ethical implications of new technologies, which include privacy issues, data ownership, and the possible damage of natural environments. In order to promote responsible innovation that strengthens conservation efforts while maintaining ecological and ethical integrity, this paper examines the relationship between multimodal technology and ethical considerations in wildlife monitoring.
Keywords: Wildlife Monitoring, Multimodal Technologies, Ethical Frameworks, Environmental DNA, Acoustic Sensors, Drones, Camera Traps, Non-invasive Monitoring, Conservation, Data Privacy.
[This article belongs to Journal of Aerospace Engineering & Technology ]
D. Dharani, Ateetha Santhosh, D. Hemavadhana, N. Nachammai. An Integrating Multimodal Technologies and Ethical Frameworks in Addressing Challenges in Modern Wildlife Monitoring. Journal of Aerospace Engineering & Technology. 2025; 15(01):1-7.
D. Dharani, Ateetha Santhosh, D. Hemavadhana, N. Nachammai. An Integrating Multimodal Technologies and Ethical Frameworks in Addressing Challenges in Modern Wildlife Monitoring. Journal of Aerospace Engineering & Technology. 2025; 15(01):1-7. Available from: https://journals.stmjournals.com/joaet/article=2025/view=197429
References
- Huang JH, Chen YY, Huang YT, Lin PY, Chen YC, Lin YF. Rapid Prototyping for Wildlife and Ecological Monitoring. IEEE Syst J. 2010;4(2):198–209p. doi:10.1109/JSYST.2010.2047294.
- Zhang M, Zhang L, Zhao C, Jin R, Guo J, Li X. Fetching Ecosystem Monitoring Data in Extreme Areas via a Drone-Enabled Internet of Remote Things. IEEE Internet Things J. 2022;9(24):25052–25067p. doi:10.1109/JIOT.2022.3195302.
- Tripathi RN, Ramachandran A, Tripathi V, Badola R, Hussain SA. Optimizing Riparian Habitat Conservation: A Spatial Approach Using Aerial and Space Technologies. IEEE J Sel Top Appl Earth Obs Remote Sens. 2024; 17:16932–16943p. doi:10.1109/JSTARS.2024.3454453.
- Li X, Huang H, Savkin AV. Autonomous Navigation of an Aerial Drone to Observe a Group of Wild Animals with Reduced Visual Disturbance. IEEE Syst J. 2022;16(2):3339–3348p. doi:10.1109/JSYST.2021.3135982.
- Babu V, Fuentes Pineda R, Bizan M, Wojak A, Wierzowiecki S, Gervásio J. Perovskite Solar Module Enabled IoT Asset Tracking for Wildlife Conservation. IEEE J Photovolt. 2024;14(2):337–343p. doi:10.1109/JPHOTOV.2024.3355406.
- Camacho L, Baquerizo R, Palomino J, Zarzosa M. Deployment of a Set of Camera Trap Networks for Wildlife Inventory in Western Amazon Rainforest. IEEE Sens J. 2017;17(23):8000–8007p. doi:10.1109/JSEN.2017.2760254.
- Ehsan S, Bradford K, Brugger M, Hamdaoui B, Kovchegov Y, Johnson D. Design and Analysis of Delay-Tolerant Sensor Networks for Monitoring and Tracking Free-Roaming Animals. IEEE Trans Wirel Commun. 2012;11(3):1220–1227p. doi:10.1109/TWC.2012.012412.111405.
- Tavares TF. Open-set Classification Approaches to Automatic Bird Song Identification: Towards Non-invasive Wildlife Monitoring in Brazilian Fauna. IEEE Lat Am Trans. 2022;20(11):2388–2394p. doi:10.1109/TLA.2022.9904764.
- Pereira E, Araújo Í, Silva LFV, Batista M, Júnior S, Barboza E. RFID Technology for Animal Tracking: A Survey. IEEE J Radio Freq Id. 2023; 7:609–620p. doi:10.1109/JRFID.2023.3334952.
- Li M, Im J, Quackenbush LJ, Liu T. Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park. IEEE J Sel Top Appl Earth Obs Remote Sens. 2014;7(7):3143–3156p. doi:10.1109/JSTARS.2014.2304642.

Journal of Aerospace Engineering & Technology
| Volume | 15 |
| Issue | 01 |
| Received | 10/01/2025 |
| Accepted | 17/01/2025 |
| Published | 25/01/2025 |
| Publication Time | 15 Days |
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