Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** recently, several conditions have…

Awards issued prior to january 20, 2025, were funded under previous administrations and may not reflect the priorities and policies of the current administration.** recently, several conditions have appeared in chickens that affect the quality of their meat. Currently, these conditions can only be detected after the meat has been fully processed, and the detection requires a person to manually inspect each piece of meat for defects. The poultry industry would benefit from a device that could automatically screen for any abnormalities without human intervention. In this project, a microwave sensor is proposed as a potential technology that could enable this automated screening.as a part of this effort, the interaction of chicken breast to electrical signals (ranging from high frequency radio to microwave) will be tested to determine how these waves behave in healthy or abnormal chicken meat. Following this, a machine learning based classification method will be applied to the data collected, which will sort chicken into a score of meat quality. This algorithm will be evaluated for accuracy compared to the manual screening method that is commonly used. At the end of the project, a prototype system will be built to test the feasibility of the whole method in a practical (i.e. non-laboratory) setting.