The integration of data analytics and artificial intelligence represents a pivotal advancement in the science of food community. These sophisticated developments, characterized by their computational acumen, hold significant promise for the progressive transformation of established practices within the science of food community. This paradigm shift encompasses the deployment of machine learning models adept at navigating substantial datasets within food processing plants, coupled with the utilization of sensors for meticulous and non-destructive data acquisition. This session will systematically elucidate opportunities, challenges, and offer an overview of the latest scientific research concerning these technologies and the advancement in the meat industry.
Speakers:
Guilherme Rosa, University of Wisconsin-Madison – Pre harvest strategies
Chaoyu Zhai – University of Connecticut – Applied proteomic and metabolomic
Xin Sun - North Dakota State University – Meat Quality AI
The integration of data analytics and artificial intelligence represents a pivotal advancement in the science of food community. These sophisticated developments, characterized by their computational acumen, hold significant promise for the progressive transformation of established practices within the science of food community. This paradigm shift encompasses the deployment of machine learning models adept at navigating substantial datasets within food processing plants, coupled with the utilization of sensors for meticulous and non-destructive data acquisition. This session will systematically elucidate opportunities, challenges, and offer an overview of the latest scientific research concerning these technologies and the advancement in the meat industry.
Speakers:
Guilherme Rosa, University of Wisconsin-Madison – Pre harvest strategies
Chaoyu Zhai – University of Connecticut – Applied proteomic and metabolomic
Xin Sun - North Dakota State University – Meat Quality AI
