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KENNESAW, Ga. | Jun 20, 2025

Feral hogs in Georgia cause an estimated $150 million in agricultural damage each year, according to the U.S. Department of Agriculture. To address this growing threat, Kennesaw State University researchers are launching an AI-powered drone system to autonomously protect peanut fields from nighttime wildlife intrusion and reduce costly crop losses.

Supported by a $25,000 Georgia Peanut Commission grant, the one-year Night Owl project is a collaboration between Kennesaw State assistant professors Taeyeong Choi and Yan Fang, and University of Georgia agricultural economist Ford Ramsey. The team鈥檚 mission is to create a low-cost, AI-driven solution that deters destructive wildlife from farmland without the need for traditional fencing or human patrols.

鈥淭he idea came from conversations with local farmers, who shared that wild animals were a bigger problem than pests, especially at night,鈥� said Choi, who teaches information technology in KSU鈥檚 College of Computing and Software Engineering (CCSE). 鈥淭raditional deterrents like fences are too expensive to install and maintain, so they often rely on staying up late with dogs to chase the animals off. That鈥檚 simply not sustainable.鈥�

Night Owl uses stationary cameras to detect animal movement in fields and dispatches autonomous drones equipped with infrared sensors. These drones fly to the location, flash lights or emit noise to scare off the intruders, and then return to a centralized charging post, all without human intervention.

鈥淚t鈥檚 not only more affordable than fencing, but also smarter,鈥� said Fang, who teaches electrical and computer engineering in KSU鈥檚 Southern Polytechnic College of Engineering and Engineering Technology. 鈥淔armers will know if the system is working in real time. More importantly, it operates within Georgia laws. We are not harming the animals, just deterring them.鈥�

Training the AI system to perform well in low-light conditions is one of the project鈥檚 biggest challenges. The team will collect and manually annotate images from real-world environments, likely beginning at the KSU Field Station, to help the software accurately identify animals in the dark.

From a hardware perspective, the team must ensure that the drones can function reliably under variable weather conditions and complete their missions efficiently before returning to charge. Fang, whose research includes energy-efficient AI and robotics, noted that optimizing energy use will be a challenge during the prototype phase.

The project is being created within CCSE, which, along with the university, supports interdisciplinary initiatives that apply emerging technologies to real-world challenges. Once the project exits the testing phase, the team envisions scaling the technology beyond peanut farms to other crops and regions.

Ramsey鈥檚 economic analysis will be critical in demonstrating how Night Owl translates to real-world value. By comparing farms that use the system with those that do not, he will help quantify cost savings and crop protection in terms that resonate with farmers and funders alike.

鈥淲e鈥檙e not replacing farmers,鈥� Choi said. 鈥淲e鈥檙e giving them a tool that lets them rest at night while knowing their fields are protected. The feedback we鈥檝e received from farmers so far has been overwhelmingly positive.鈥�

鈥� Story by Raynard Churchwell

Photos by Matt Yung

A leader in innovative teaching and learning, Kennesaw State University offers undergraduate, graduate, and doctoral degrees to its more than 47,000 students. Kennesaw State is a member of the University System of Georgia with 11 academic colleges. The university’s vibrant campus culture, diverse population, strong global ties, and entrepreneurial spirit draw students from throughout the country and the world. Kennesaw State is a Carnegie-designated doctoral research institution (R2), placing it among an elite group of only 8 percent of U.S. colleges and universities with an R1 or R2 色色啦. For more information, visit kennesaw.edu.