Joao Dorea
Principal Investigator
Assistant Professor of Precision Agriculture & Data Analytics
Department of Animal & Dairy Sciences
joao.dorea@wisc.edu
https://dorealab.cals.wisc.edu/
Dr. Dorea leads a program focused on the application of Artificial Intelligence techniques for high-throughput phenotyping and climate-smart agriculture. His program aims to use these cutting-edge technologies to optimize farm management decisions, leading to more efficient and sustainable agricultural practices.
Victor Cabrera
Professor & Extension Specialist of Dairy Farm Management
Department of Animal & Dairy Sciences
vcabrera@wisc.edu
https://dairymgt.cals.wisc.edu/
Dr. Cabrera’s research and Extension programs involve interdisciplinary and participatory approaches toward the creation of user-friendly decision support systems. A primary focus of Dr. Cabrera’s Extension work is creating and delivering computerized, integrated, data-driven decision support tools using simulation techniques, artificial intelligence, and expert systems.
Charles Nicholson
Associate Professor
Department of Agricultural & Applied Economics
Dr. Nicholson’s work focuses on analyzing dairy markets, policy, and supply chains and is supported by the UW Dairy Innovation Hub. He also maintains an affiliation with the School of Integrative Plant Science at Cornell University and contributes to research on the economics and environmental impacts of controlled-environment agriculture.
Jennifer Van Os
Assistant Professor and Extension Specialist of Animal Welfare
Department of Animal & Dairy Sciences
jvanos@wisc.edu
https://animalwelfare.cals.wisc.edu
Dr. Van Os’ research focuses on understanding, evaluating, and improving the welfare of dairy animals from biological- and social-science perspectives. In addition, Dr. Van Os’ leads an extension program to promote best practices in management and housing to help the dairy industry adapt as our scientific knowledge about animal welfare continues to grow.
Yong Jae Lee
Associate Professor
Department of Computer Sciences
yongjaelee@cs.wisc.edu
https://github.com/WisconsinAIVision
Dr. Lee’s interests are in computer vision and machine learning, with a focus on creating robust visual recognition systems that can learn to understand the visual world with minimal human supervision.
Gustavo Mazon
Postdoctoral Research Associate
Gustavo got his PhD from the University of Kentucky focusing on the development of novel precision dairy technologies for cows under heat stress and on developing probiotic intervention strategies for cows and calves under acidosis risk. Gustavo’s current work focuses on assessing technology adoption on dairy farms and creating educational resources to promote artificial intelligence and data technology in livestock production systems.
Guilherme Lobato
Postdoctoral Research Associate
Guilherme’s research focuses on evaluating carcass characteristics in beef-on-dairy animals. His project aims to predict ribeye area, circularity, and carcass yield in beef-on-dairy animals. The goal is to develop a tool that can be applied in commercial farms and will help select animals for slaughter and improve the standardization of crossbred Beef-on-dairy animals.
Rafael Ferreira
Postdoctoral Research Associate
Rafael Ferreira is an Electrical and Computer Engineer and a post doctorate in Animal and Dairy Sciences. He is currently interested in developing computer vision systems to improve dairy farm management and phenotyping. More specifically, his research focuses on applying state-of-the-art deep learning methods for dairy cattle tracking and identification, as well as early disease detection.
Maria Montes
PhD Student
Maria is originally from Mexico, where she obtained her BS in Agronomy Engineering from ITESM. During her MS in Animal Science at Purdue, she focused on understanding the data from automated milk feeders. Last January, she joined the lab and is eager to learn more about automated systems and data analysis techniques for precision farming.
Raphael Mantovani
Raphael is an undergraduate student in data science and statistics. His current projects focus on the use of computer vision systems to monitor respiration rate in cows and calves.
Lucas Sernik
Lucas is a junior undergraduate student in computer science at UW-Madison. He is currently working on the integration of acoustic and computer vision systems to monitor dairy calf health. Lucas is also working on ways to deliver satellite and climate data to researchers in a more accessible way.