International Journal of Science, Engineering and TechnologyAuthors: Mrs.N.Swarupa Rani, Mr.N.B.Jilani, Dr.A.Ranganayakulu, Anna. Suresh, Eraganaboyana Chandramohan, Metla Bala Venkata Narendra
Abstract: Using real-time detection, identification, and deterrent, the automated agricultural land security system is a smart AI-supported solution that aims to halt animal encroachment and safeguard crops. Because of their great sensitivity, distance-based sensors can keep a constant eye on the crops and their agent as they approach. An alarm buzzer notifies the farmer the moment it detects the animal. The AI system will then activate the YOLO object detection algorithm to determine the animal's species and trigger the transmission of a deterrent frequency tailored to that species in order to ward off any unwanted visitors. In the event that the animal persists or if there is evidence of manipulation, the farmer is alerted using GSM communication signals. Along the perimeter, we will also install an electric shock pulse system to beef up security against unwanted access. In order to analyze judgments based on sensor data instantaneously and provide timeless feedback for alarms, the microcontroller incorporates sense modes, deterrents, and communication modules. Thus, the system offers efficient, automated, and least disruptive animal deterrent, which should lessen crop damage and eliminate the need for human monitoring during certain times of the day. It offers a more long-term solution to the problem of wildlife management than the traditional approaches by using AI and an intelligent deterrence strategy to increase agricultural security and production.
DOI: https://doi.org/10.5281/zenodo.20394481
