Intelligent Crop Protection System With Yolov11 Based Animal Recognition

Authors

  • Guru Prasath H UG - Artificial Intelligence and Data Science, GRT Institute of Engineering and Technology, No 19, Ganesh Nagar(opposite Bharat petroleum), Tiruttani main road, thanigai Polur post, 631003,India. Author
  • Vasanthkumar T UG - Artificial Intelligence and Data Science, GRT Institute of Engineering and Technology, Tiruttani, Tamil Nadu , 1/154-2a Naveeder Street K.G.kandigai, Tiruttani, Tiruvallur, 631205, Tamil Nadu, India. Author
  • Kishore Kumar TP UG - Artificial Intelligence and Data Science, GRT Institute of Engineering and Technology, Tiruttani, Tamil Nadu , No 401 C.T.H Road Thannearkulam main road ,Tiruvallur 602003 , Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0233

Keywords:

Animal Detection, Computer Vision, Deep Learning, Object Detection, YOLO

Abstract

The automated agricultural land protection system is an intelligent solution that protects crops from animal intrusions with minimal human supervision. It continuously monitors the field boundary, detects approaching animals, and analyzes their presence to confirm whether they pose a threat. Once an intrusion is identified, the system processes data in real time to quickly decide on preventive actions. It then triggers visual alerts for farmers and emits adaptive, non-harmful warning sounds to scare animals away, maintaining the deterrent until the threat is gone. By combining sensing, intelligent analysis, and automated deterrence, the system reduces crop loss, supports sustainable farming, and is especially useful for large or remote fields where manual surveillance is difficult.

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Published

2026-04-20

How to Cite

Intelligent Crop Protection System With Yolov11 Based Animal Recognition. (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(04), 1784-1787. https://doi.org/10.47392/IRJAEH.2026.0233