Agriculture is highly hampered by crop-destroying animals and inefficient water management, which leads to productivity loss. This paper proposes an AI-facilitated intelligent agricultural surveillance system to detect crop-destroying animals using a camera, the Raspberry Pi 5 (8GB), and the YOLOv8 object detection algorithm for real-time inference. The system plays deterrent sounds at specific frequencies to drive away animals and sends notifications to the farmer using the IoT-based Blynk app. Environmental conditions are monitored by temperature and humidity sensors, and a water level detection mechanism prevents contamination and overflows under heavy rain conditions. All data, including detection history, is provided to the farmer through the Blynk app, enabling remote access and efficient farm management. The system facilitates precision agriculture by integrating AI-facilitated object detection with IoT-based monitoring, offering a scalable and low-cost solution to sustainable agriculture. Experiment results confirm the efficacy of real-time detection, anticipatory deterrent, and remote access, enhancing farm security and optimization of resources.