Birds frequently invade agricultural fields, causing significant crop damage and financial loss to farmers. Traditional scarecrows are often ineffective, chemical repellents are expensive and harmful to the environment, and electric fences pose safety risks while consuming unnecessary power. These conventional methods fail to provide a smart, reliable, and sustainable solution.

This project addresses the core issue of crop protection from bird damage by offering a real-time, automated bird detection and repellent system. Using computer vision and machine learning, it detects bird activity accurately and activates sound and motion-based deterrents immediately. The system also sends real-time alerts to farmers via Telegram, allowing them to monitor field activity remotely.

By combining automation, cost-effectiveness, and environmental safety, this solution fills the gap left by outdated methods and provides a modern, efficient tool to safeguard crops, improve yield, and reduce the dependency on human monitoring or harmful practices.