Ibukun Ogunade
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Also affiliated: West Virginia University (2026)
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Ibukun Ogunade's research focuses on the application of machine learning models to predict and understand animal behavior and physiology, particularly in beef cattle. Their recent work involves developing long short-term memory (LSTM) models to predict individual water intake and dry matter intake (DMI) in beef cattle under grazing conditions. These models utilize longitudinal data and aim for generalizability, even without precise birth date information. Ogunade also investigates the impact of residual feed intake phenotypes on growth performance and ruminal microbiome responses when cattle are fed Bacillus-based direct-fed microbial supplements. This research contributes to optimizing livestock management through data-driven predictive approaches.
Metrics
- Publications: 4
Selected Publications
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Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates (2026)
Collaboration Network
Top Collaborators
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
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