• Nikhil Chauhan
• Nitin Pathak
• Vivek Singh
• Anikesh Chauhan

Farmers in India have been facing severe stresses from wild animal invasions of their land that not only ruin crops, damage buildings but also put a farmer’s life in danger. Farmers currently are utilizing manual monitoring of their land to detect animals, but this method is inefficient, requiring a lot of time and resources, especially since most farmers patrol their farms after dark or in remote locations, but this method has proven to be extremely unpredictable even for those farmers who do patrol their farms. As a result, by using the information in this article, we are introducing an AI Smart Animal Detection and Alert System called Field Sense that uses Computer Vision, Machine Learning and IOT technology to monitor farms in near real-time so that alerts and warnings can be sent to farmers before any damage happens. Using a Raspberry Pi 4 and HD camera Field Sense AI capture real time video from rural areas. The captured video is processed using the YOLOv5 machine learning algorithm to find any animal that entered the field and to provide the user with a notification through the Telegram Bot API along with an image or snapshot of the animal(s). This way, farmers can make quick decisions and respond quickly to detections regardless of their location. Detection of incidents and the provision of notifications in real time is vital to farmers who would not have the ability to continually monitor their fields without interruption while working. Field Sense AI has been developed to provide an affordable, energy efficient option for Continuous Autonomous Operation (CAO) with very little maintenance and is suitable for Small Scale Farmers (SSF) and Larger Agricultural Systems, Home Gardens, and Rural Properties. Results from our test runs show that the Field Sense AI offers high accuracy rates to detect threats during day and moderate nighttime conditions. Thus confirming its usefulness for implementation into the field. The Field Sense AI also will greatly reduce the need for manual surveillance, provide alerts to farmers about potential crop loss, and provide protection for their crops. By combining AI detection technologies with IoT Communication technologies, Field Sense AI will enhance Field Security, help farmers mitigate types of crop loss that are unnecessary, and ultimately help develop more intelligent, safer, and technologically advanced Agricultural Environments.

Artificial Intelligence, Computer Vision, YOLOv5, Smart Agriculture, Internet of Things (IoT)

"Field Sense AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.b49-b55, February-2026, Available :http://www.jetir.org/papers/JETIR2602107.pdf

"Field Sense AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. ppb49-b55, February-2026, Available at : http://www.jetir.org/papers/JETIR2602107.pdf