Journal of Information Systems Education (JISE)

Volume 36

Volume 36, Issue 4, Pages 379-383

Fall 2025


Teaching Case
Smart Poultry Farming Using the Internet of Things, Artificial Intelligence, and Analytics: A Project Management Case


Denise McWilliams
Ash Mady
Cindi Smatt

University of North Georgia
Dahlonega, GA 30597, USA

Abstract: Efficient and profitable business operations today rely on the use of advanced technologies. This is particularly evident in managing family farms in the competitive broiler chicken industry. Farmers raising broiler chickens from chick to optimum weight in five weeks require investments in and use of smart farming technologies employing the Internet of Things (IoT), automated monitoring and alerts, artificial intelligence, and machine learning. This case explores these technologies at one family farm in North Georgia to understand how smart technologies and the Internet of Things (IoT) provide an automated workforce and consistent production results. The farm, located in Dawsonville, Georgia, is a large operation raising 200,000 chickens per cycle with a workforce of two. Understanding the application of smart technologies in family business operations aids in meeting world food demand, increasing food quality, and farmer profitability. This case study is used in undergraduate and graduate-level management information systems, analytics, and project management courses to critically evaluate the application of these technologies in creating a more efficient business operation. Teaching notes with suggested guidelines, assignments, and discussions are provided upon request.

Keywords: Project management, Teaching case, Internet of Things (IoT), Artificial intelligence, Analytics, Case-based learning

Download This Article: JISE2025v36n4pp379-383.pdf


Recommended Citation: McWilliams, D., Mady, A., & Smatt, C. (2025). Teaching Case: Smart Poultry Farming Using the Internet of Things, Artificial Intelligence, and Analytics: A Project Management Case. Journal of Information Systems Education, 36(4), 379-383. https://doi.org/10.62273/DMUU5863