INTEGRATED SOLAR POWERED SMART AGRICULTURE SYSTEM WITH VISION BASED DRONE SURVEILLANCE
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The global agricultural sector faces persistent threats from wildlife encroachment and environmental instability, which frequently culminate in substantial financial losses for farming communities. Conventional methodologies for safeguarding crops—ranging from physical labor and traditional scarecrows to the application of chemical repellents—are increasingly proving inadequate as animal populations grow accustomed to these static deterrents. Furthermore, modern alternatives like electric fencing are often deemed impractical for large-scale rural application due to their high maintenance requirements and the inherent safety risks they pose to both humans and the local ecosystem. To address these vulnerabilities, this project introduces a self-sustaining, autonomous framework that harmonizes renewable energy with sophisticated surveillance technology. By employing a solar-powered infrastructure, the system ensures an environmentally friendly and uninterrupted operation, effectively mitigating the high electricity costs and power reliability issues common in remote agricultural zones. The core of this initiative lies in its ability to transition from labor-intensive manual guarding to a high-tech, automated security environment. The technical architecture is centered around an ESP32 controller that manages an extensive array of environmental sensors, including those for soil moisture, temperature, humidity, rain detection, and gas levels
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Saravanakumar, P., Yogeshwaran, S. & Shyam, K. (2026). Integrated Solar Powered Smart Agriculture System with Vision Based Drone Surveillance. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.031
Saravanakumar, P., et al.. "Integrated Solar Powered Smart Agriculture System with Vision Based Drone Surveillance." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.031.
Saravanakumar, P.,S. Yogeshwaran, and K. Shyam. "Integrated Solar Powered Smart Agriculture System with Vision Based Drone Surveillance." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.031.
References
[2] Agrawal J and Arafat M.Y (2024), “Transforming Farming: A Review of AI-Powered UAV Technologies in Precision Agriculture.” Drones, Vol. 8, No. 11, pp. 664.
[3] Alotaibi F and Karar M.E (2021). “A Pilot Study of Smart Agricultural Irrigation using UAVs and IoT-Based Cloud System”, Information Sciences Letters, Vol. 10, No. 1, pp. 131–140.
[4] Ankatwar G and Dhawale C (2023), “Remote Sensing using UAVs for Detecting Crop Diseases: An ML and DL Approach”, Precision Agriculture Journal, Vol. 24, No. 4, pp. 446-492.
[5] Chandan B R, Nuthan A C and Sumitha C (2023), “Solar Powered Advanced Indigenous Multi-Purpose Remoteless Agro-Based Drone for Digital Farming.” International Journal of Engineering Research & Technology, Vol. 12, No. 1, pp. 402-407.
[6] Chokmani K, Guebsi R and Mami S (2024), “Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges.” Drones, Vol. 8, No.11, pp. 686.
[7] Hayajneh M and Ramachandran M M (2025), “Solar Agro Savior: Smart Agricultural Monitoring Using Drones and Deep Learning Techniques.” Agriculture, Vol. 15, No. 15, pp.1656.
[8] Kumar D and Silpa A (2025), “AI Autonomous Agri-Drones with Smart Soil and Crop Health Monitoring,” International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 13, Issue IX, pp. 171–177.
[9] Naseer F (2025), “Solar-Powered Autonomous Drone System for Precision Agriculture.” ComputeX – Journal of Emerging Technology & Applied Science, Vol.1, No. 3, pp. 1-15.
[10] Okeke R.O and Omeje C. O (2022), “A Drone-Based Crop Monitoring System in Precision Agriculture using RF Remote Control.” International Journal of
Advances in Computer and Electronics Engineering, Vol. 7, No. 1, pp. 1–8.
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