# Real-Time Farm Surveillance Using IoT and YOLOv8 for Animal Intrusion Detection
## 1 Introduction
Despite the initial outlay, the system's cost-effectiveness and compliance with wildlife rules make it relevant worldwide, as it addresses the issue of wildlife interference in farming while maintaining sustainability and profitability. The SFSS has several agricultural uses and benefits. It is an effective instrument as a wildlife deterrent since it detects and alerts farmers to the presence of animals such as wild bours, macaques, porcupines, deer, monkeys, and bears, allowing farmers to take prompt action to prevent crop damage. Furthermore, the system excels at intruder detection, protecting against theft and unlawful access. It aids agricultural monitoring by providing data on growth, health, and environmental factors, which aids in irrigation and pest management decisions. Environmental data collection encourages precision agriculture, which optimizes resource utilization. Some versions can also handle animals, providing animal care and security. The advantages are numerous: it ensures early threat identification, which reduces losses and recovery efforts. Increased protection safeguards crops and property, while data-driven decision-making improves agricultural management and yields. Remote monitoring via cloud integration provides convenience and peace of mind. By decreasing harmful activities, it promotes sustainability and assists in compliance with animal conservation legislation, which has legal and ethical ramifications. The potential impact is significant, with the possibility for increased agricultural production, resource efficiency, and global food security [2]. It contributes to the preservation of biodiversity by aligning with environmental conservation aims. Furthermore, through promoting economic growth, it benefits rural communities and farmers of all sizes. The SFSS is a game-changing technology that promotes efficiency, sustainability, and security in agriculture. The SFSS is a complete system that includes many components and operational features and also possesses significant future potential. AI-powered cameras with powerful object identification algorithms capable of spotting dangers such as animals and intruders are among its components. Cloud infrastructure enables remote access to surveillance feeds by ensuring effective data storage and processing. Environmental sensors collect data on agricultural conditions, while an alerting system alerts farmers of any hazards that are recognized [3]. To detect relevant things effectively, the system requires an initial training of its AI algorithms. It provides continuous monitoring 24 h a day, seven days a week, with remote access via cellphones or laptops, allowing farmers to respond to alarms even from afar. Its data analysis yields useful insights, and its scalability enables customization for farms of various sizes. The system's future potential is enormous. Agriculture might benefit from automation by integrating with IoT devices. AI advancements will improve detection precision, perhaps identifying individual animal species. Predictive analytics might anticipate dangers, allowing for proactive measures. This method, which has the potential for worldwide deployment, could handle wildlife encroachment issues on a large scale. Its use in environmental monitoring has the potential to conserve natural reserves and safeguard endangered species.