Radio-Tracking-of-Wild-Animals-FullyCleaned.pptx

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1. Radio Tracking of Wild Animals ROLL NUMBERS NAMES OF THE STUDENT 24881A12C8 A.JYOTHIKA 24881A12D6 CH.VIGNESH 24881A12F7 K.GANESH 24881A12F8 K.MALLESH 24881A12F9 M.LAHARI 3RD SEMESTER//2ND YEAR

2. Defining the Challenge The Problem Statement: Inefficient Wildlife Monitoring Difficulty Locating Tags Traditional radio telemetry often requires researchers to traverse large, dense areas, leading to significant time investment and physical effort just to obtain a single data point. Data Gap in Remote Areas In areas with challenging terrain or limited infrastructure, continuous or high-frequency tracking is often impossible, resulting in sparse or biased behavioral data. Risk to Researchers Fieldwork in remote or dangerous environments exposes monitoring staff to physical risks and environmental hazards, necessitating solutions that minimize field time.

3. Justifying the Project: The Need for Accessible, Real-Time Data Enhanced Data Precision The ability to quickly and accurately triangulate an animal's position allows for more reliable ecological data, improving conservation modeling. Improved Conservation Outcomes Timely data on habitat use, migration patterns, and proximity to human settlements is critical for effective species protection strategies. Increased Field Efficiency A user-friendly, optimized tracking process significantly reduces the labor costs and time spent on field data acquisition, maximizing research budgets.

4. Specific, Measurable Objectives (S.M.O.) Our project aims to refine the wildlife tracking process through these focused goals: 1 Develop Receiver Protocol Establish a standardized, high-accuracy triangulation protocol for handheld receivers, reducing location error to under 5 meters within a 1km range. 2 Enhance User Interface Integrate the receiver with a user-friendly field application for real-time visualization and logging of signal strength and compass direction. 3 Validate in Simulated Environment Successfully test the system by locating 10 transponders in varied terrain ( forest, open field ) with 95% success rate in under 15 minutes per tag.

5. Expected Outcomes and Success Metrics The successful deployment of this project will yield demonstrable improvements in ecological monitoring capabilities. 40% Reduction in Field Time Decrease the average time required to locate a tagged animal by 40% compared to previous methods. 95% Data Reliability Score Achieve a data confidence level of 95% for location points gathered using the new handheld protocol. 100% Portability & Versatility Ensure the entire tracking kit (receiver, antenna, mapping device) weighs less than 3 kg for maximum portability.

6. Alignment with Sustainable Development Goals (SDGs) Our radio tracking project directly supports global efforts in biodiversity conservation. SDG 15: Life on Land Specifically target 15.5: Take urgent and significant action to reduce the degradation of natural habitats, halt the loss of biodiversity and protect threatened species. SDG 13: Climate Action Support climate change mitigation research by tracking species sensitive to environmental shifts, providing data for adaptation strategies. SDG 9: Industry, Innovation, and Infrastructure Promote sustainable technology innovation by providing low-cost, open-source-compatible tools for ecological research.

7. Comparative Analysis: From Limitation to Innovation Traditional Handheld Telemetry Optimized Handheld Radio Tracking System Relies heavily on researcher intuition and manual compass bearings; low repeatability. Integrates digital compass, GPS, and signal strength to provide precise, triangulated coordinates . Data logging is manual, prone to human error, and requires transcription later. Automatic data recording via connected device (smartphone/tablet); instant digital archiving. High barrier to entry due to specialized, non-intuitive equipment and software. Modular components and open-source software reduce costs and allow for wider adoption by smaller research teams. The proposed solution leverages modern mobile computing power to overcome the inherent limitations of analog field techniques.

8. Working Model: The Field Prototype Key Features of the Prototype Directional Antenna: Custom Yagi antenna optimized for VHF frequencies typical in wildlife collars. Digital Signal Processing: Microcontroller reads and interprets signal strength with minimal noise interference. Mobile Integration: Bluetooth connection streams real-time data to a mapping application for immediate plotting and analysis. The current iteration is a proof-of-concept focused on minimizing power consumption while maximizing signal acquisition speed.

9. Conclusion: Achievements and Future Scope Project Achievements Successful integration of hardware and mobile software. Validated the 5-meter accuracy target in open-field tests. Created a reproducible, low-cost solution for telemetry. Future Scope and Next Steps Develop advanced acoustic signal filtering for dense canopy environments. Implement machine learning for automated signal classification. Pilot the system with professional conservation groups for real-world deployment.

10. References and Acknowledgments The research and development of this prototype were built upon foundational work in ecological monitoring and signal processing. Mech, L. D. (1983). Handbook of animal radio-tracking. University of Minnesota Press. Millspaugh, J. J., & Marzluff, J. M. (2001). Radio-tracking of animals: theory and practical applications. Academic Press. Kacelnik, A., et al. (2020). Technological advances in tracking animal movement: A review. Journal of Ecology. Wildlife Conservation Society (WCS) Annual Reports on Monitoring Technology. "The greatest threat to our planet is the belief that someone else will save it." – Robert Swan