AN AUTONOMOUS SOLAR-POWERED AI SCARECROW SYSTEM FOR REAL-TIME CROP PROTECTION AND MONITORING

  • Unique Paper ID: 202720
  • Volume: 12
  • Issue: 12
  • PageNo: 8388-8394
  • Abstract:
  • The proposed system is an AI-enabled, solar-powered, motorized scarecrow designed to protect crops from birds and animals in agricultural fields. Traditional scarecrow systems, which rely on static visual deterrents, often lose their effectiveness over time as birds and other pests quickly become habituated to their presence. To address this limitation, the system integrates computer vision, automation, and renewable energy to provide a dynamic and intelligent crop protection solution.A high-resolution camera is connected to a laptop, continuously capturing real-time images of the field. Using OpenCV-based image processing, the system can detect birds, such as crows, and other intruding animals with high accuracy. Once an intrusion is identified, the system communicates with an Arduino microcontroller via serial communication, triggering precise motorized movements in the scarecrow. These dynamic movements create unpredictable and realistic deterrent actions that effectively scare away intruders, preventing crop damage. entire setup is powered by solar energy, making the system environmentally sustainable and independent of conventional power sources. The integration of AI and automation allows for real-time monitoring and rapid response, significantly improving the efficiency and reliability of pest management in agriculture. Overall, this system offers a smart, eco-friendly, and cost-effective solution for modern farming, combining traditional scarecrow principles with cutting-edge technology to enhance crop protection and agricultural productivity.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{202720,
        author = {Ms.N.Thillainayagi and J.Abdul Kadir Moulana and J.Abdul Rahim Moulana and P.Nabin},
        title = {AN AUTONOMOUS SOLAR-POWERED AI SCARECROW SYSTEM FOR REAL-TIME CROP PROTECTION AND MONITORING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {8388-8394},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202720},
        abstract = {The proposed system is an AI-enabled, solar-powered, motorized scarecrow designed to protect crops from birds and animals in agricultural fields. Traditional scarecrow systems, which rely on static visual deterrents, often lose their effectiveness over time as birds and other pests quickly become habituated to their presence. To address this limitation, the system integrates computer vision, automation, and renewable energy to provide a dynamic and intelligent crop protection solution.A high-resolution camera is connected to a laptop, continuously capturing real-time images of the field. Using OpenCV-based image processing, the system can detect birds, such as crows, and other intruding animals with high accuracy. Once an intrusion is identified, the system communicates with an Arduino microcontroller via serial communication, triggering precise motorized movements in the scarecrow. These dynamic movements create unpredictable and realistic deterrent actions that effectively scare away intruders, preventing crop damage.  entire setup is powered by solar energy, making the system environmentally sustainable and independent of conventional power sources. The integration of AI and automation allows for real-time monitoring and rapid response, significantly improving the efficiency and reliability of pest management in agriculture. Overall, this system offers a smart, eco-friendly, and cost-effective solution for modern farming, combining traditional scarecrow principles with cutting-edge technology to enhance crop protection and agricultural productivity.},
        keywords = {Artificial Intelligence, Open CV, Scarecrow Automation, Solar Power, Agriculture, Computer Vision, Embedded Systems},
        month = {May},
        }

Cite This Article

Ms.N.Thillainayagi, , & Moulana, J. K., & Moulana, J. R., & P.Nabin, (2026). AN AUTONOMOUS SOLAR-POWERED AI SCARECROW SYSTEM FOR REAL-TIME CROP PROTECTION AND MONITORING. International Journal of Innovative Research in Technology (IJIRT), 12(12), 8388–8394.

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