Applied Economics Teaching Resources

an AAEA Journal

Agricultural and Applied Economics Association

Case Study

Automated Milking Systems: A Case Study of a U.S. Midwest Dairy Farm Decision-Making Process

Luis Peña-Lévano(a), Shaheer Burney(b), James Salfer(c), Jennifer Clark(d), Luis Garcia Covarrubias(a), and Cesar Escalant(e)
(a)University of California, Davis, (b)University of Wisconsin-River Falls, (c)University of Minnesota, (d)University of Florida, (e)University of Georgia

JEL Codes: JEL Codes: Q16, Q12, L23, O33, J43
Keywords: Automated milking systems, automation, case study, dairy sector, financial feasibility, robotics

First Published Online: August 13, 2025

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Abstract

This case study examines the Schmidt family’s decision at Pioneer Farm in the U.S. Midwest: whether to adopt Automated Milking Systems (AMS) on their dairy farm. AMS are robots that autonomously milk cows, potentially increasing operational efficiency, reducing labor reliance, and improving milk quality. However, installing AMS requires high upfront costs, maintenance expenses, and adjustments to farm management practices, making it a challenging decision for small and mid-sized dairy operations. Using detailed financial data from Pioneer Farm—a fictional farm based on a real farm in the Midwest—the case enables students to analyze the economic feasibility of AMS adoption and explore its impacts on labor dynamics, animal welfare, and long-term sustainability.
The case draws on general industry insights; however, it specifically examines Pioneer Farm’s unique circumstances, providing a realistic and practical framework for classroom discussion. The case illustrates that while AMS can offer substantial long-term economic benefits, initial investment, and maintenance can be major constraints, leading to lackluster adoption rates nationwide. Engaging students in this decision-making process gives them valuable insights into the opportunities and trade-offs associated with technological innovation in the dairy industry. This research also offers valuable lessons for policymakers and educators, contributing to the ongoing discourse on technological innovation in agriculture.

About the Authors: Dr. Luis Peña-Lévano is an Assistant Professor of Cooperative Extension in Dairy Cattle Production, Health, and Management Economics at the University of California, Davis (Corresponding Author Email: lpenalevano@ucdavis.edu). Dr. Shaheer Burney is an Associate Professor of Agricultural Business and Director of the Survey Research Center at the University of Wisconsin-River Falls. James Salfer is an Extension Professor at the University of Minnesota. Dr. Jennifer Clark is an Instructional Associate Professor at the University of Florida. Dr. Luis Garcia Covarrubias is a Postdoctoral Research Scholar of Dairy Cattle Production, Health, and Management Economics at the University of California, Davis. Dr. Cesar Escalante is a Professor at the University of Georgia.

Acknowledgements: This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture (USDA), under agreement number AAN6358-06012024, through the North Central Region SARE program under project number LNC22-467. USDA is an equal opportunity employer and service provider. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the USDA. We also acknowledge the contributions of the Louis Lab Graphic Design Team (Independent Contractors of the University of California, Davis): Victor Queirolo, Creative Project Director and UX/UI Graphic Designer, for leading the development of all visual materials related to this case study; Jose Briceño, Bilingual Communication Specialist, for his support in producing the presentation based on this work; and Pedro Saravia, Web Programming and Digital Content Specialist, for his assistance in building the financial spreadsheets and supporting web-based dissemination. We also thank the International Food and Agribusiness Management Association (IFAMA) for the opportunity to present this case, which was awarded the World’s Best Teaching Case at the 2025 Academic Symposium of the IFAMA World Conference in Brazil.

Copyright is governed under Creative Commons CC BY-NC-SA

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