| Affiliations: | STEM Research Leadership |
| Project Leader: | Serinmary Pulikkottil Rejimon
serinmarypulikkottil@tamu.edu Animal Science |
| Faculty Mentor: | Karun Kaniyamattam, Ph.D. |
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Meeting Times:
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TBA |
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Team Size:
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5
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| Open Spots: | 0 |
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Special Opportunities:
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Gain experience in developing machine learning models. Earn co-authorship on a publication (based on contribution) while being part of an interdisciplinary cohort of students and seasoned researchers. Students also have the option to receive research credits.
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Team Needs:
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We are seeking individuals with a strong interest in AI modeling and developing data science tools for agri-food systems, particularly focusing on beef production. The ideal candidate should be enthusiastic about collaborating with a diverse team, including veterinarians, animal scientists, economists, and engineers. Background (courses, projects etc.) in Machine Learning and Python is advantageous but not a requirement. Open to all majors. |
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Description:
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The U.S. beef sector is deeply intertwined with the lives and livelihoods of many. Achieving a sustainable transformation of the industry demands a holistic approach that integrates environmental, social, and economic considerations.
Artificial Intelligence is driving innovation across technology and agriculture. Integrating machine learning models into decision-making processes in beef production can empower producers, consumers, and policymakers to build ethical, resilient, and sustainable systems for the future. Students involved in this project will play an active role in multiple phases, including conducting an in-depth literature review, collecting and organizing data, developing machine learning models, and refining these models to optimize their performance and accuracy. |