| 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 US beef sector is deeply interwoven with the lives and livelihoods of many. Thus, achieving a sustainable transformation of the sector requires a holistic approach that considers environmental, social, and economic perspectives. Artificial Intelligence is at the forefront of advancements in technology and agriculture. Incorporating machine learning models into decision-making processes in beef production can empower producers, consumers, and policymakers to create ethical and sustainable production systems for the long term. The students will actively contribute to various aspects of the project, including conducting a comprehensive literature review, gathering and organizing data, building machine learning models, and fine-tuning them to enhance performance and accuracy. |