Company Filing History:
Years Active: 2004-2005
Title: Inventor Mohammed Koohmaraie: Innovating Meat Quality Assessment
Introduction
Mohammed Koohmaraie, an inventor located in Clay Center, Nebraska, has made significant contributions to the field of meat quality assessment through his innovative inventions. With a total of two patents to his name, Koohmaraie's work focuses on improving methods for grading meat and predicting the quality and yield of animal carcasses.
Latest Patents
His latest patents involve an advanced image analysis system designed specifically for grading meat. This system enables the prediction of meat quality and yield by capturing detailed images of the 12th rib cross-section of the ribeye. The invention features a wedged-shaped camera housing that allows for easy insertion into the rib incision. The camera is equipped with a flash to ensure consistent lighting during image capture. Once an image is taken, whether digitally or through conversion, the system performs a thorough analysis to determine essential parameters such as the percentage of lean meat, total and fat areas, marbling percentages, and the thickness of fat adjacent to the ribeye. These parameters serve as critical indicators for assessing carcass value.
Career Highlights
Throughout his career, Koohmaraie has worked with notable organizations, including Tyson Fresh Meats, Inc. and the United States of America, as represented by the Secretary of Agriculture. His role in these companies has allowed him to apply his inventive skills and contribute to the field of meat science.
Collaborations
In his journey, Koohmaraie has collaborated with esteemed colleagues such as Horst Eger and Steven D. Shackelford. These collaborations have likely enriched his work and underscored the importance of teamwork in advancing innovations in meat quality assessment.
Conclusion
In conclusion, Mohammed Koohmaraie's inventive contributions significantly enhance the methods used for grading meat and predicting the yield of animal carcasses. His advanced image analysis system exemplifies a critical leap forward in the industry, demonstrating how innovation can improve quality assessment standards and ultimately benefit consumers and producers alike.