Abstract The proposed system presents an intelligent agricultural solution that integrates smart irrigation using PWM control with AI-based animal intrusion detection to improve crop yield and farm security. The irrigation system efficiently controls water flow using Pulse Width Modulation, ensuring optimal usage of water resources. Alongside this, a real-time animal detection system is implemented using the YOLOv8 deep learning algorithm. A USB camera connected to a laptop continuously monitors the field, and the trained YOLOv8 model detects animals using a dataset prepared via Robo flow. When an animal is detected, the system activates a buzzer alert and sends instant notifications to the farmer through the Telegram application. This integrated system provides a smart, automated, and real-time solution for efficient irrigation and crop protection, reducing manual effort and minimizing losses due to animal intrusion.

Keywords: Artificial Intelligence, Machine Learning, Air Defense, Threat Prediction, Simulation System

Downloads: | DOI: 10.17148/IARJSET.2026.13446