Theses and Dissertations

ORCID

https://orcid.org/0009-0000-4689-1425

Advisor

Chesser, Daniel

Committee Member

Ramkumar, Mahalingam

Committee Member

Gudla, Charan

Committee Member

Purswell, Joseph

Date of Degree

8-13-2024

Original embargo terms

Immediate Worldwide Access

Document Type

Graduate Thesis - Open Access

Major

Computer Science

Degree Name

Master of Science (M.S.)

College

James Worth Bagley College of Engineering

Department

Department of Computer Science and Engineering

Abstract

Our research primarily focuses on the risk assessment and vulnerabilities of commercial broiler farms/houses due to severe weather events. The area of focus is counties within a 60-mile radius of broiler processing plants, as most broiler farms/houses are centrally located around these plants. Using data from the National Oceanic and Atmospheric Administration (NOAA), we calculate a risk index to evaluate the vulnerability of these counties. This study incorporates historical weather event data to identify patterns and predict future risks, providing valuable insights for disaster preparedness and mitigation strategies. Through a detailed analysis of various severe weather events, including tornadoes, hurricanes, floods, and lightning, we aim to highlight the specific vulnerabilities of broiler farms/houses and propose targeted strategies to enhance their resilience against these climatic threats. By focusing on high-risk areas, we ensure that our findings are both relevant and actionable, enabling stakeholders to implement effective risk management practices. This research fills an important gap in the existing literature. and also contributes significantly to the development of robust predictive models and comprehensive risk assessments for the poultry industry. Key Words: broiler production plants, severe weather events, risk assessment, NOAA data, vulnerability analysis, predictive modeling, climatic threats, resilience enhancement, machine learning models, Bayesian risk, geospatial analysis, hypothesis testing, nowcasting.

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