USPOULTRY and the USPOULTRY Foundation announce the completion of a funded evaluation enterprise by researchers from the Faculty of Georgia that labored to develop a web-based artificial intelligence system to analysis broiler train index. The evaluation is part of the Affiliation’s full evaluation program encompassing all phases of poultry and egg manufacturing and processing. A summary of the completed enterprise is underneath.
Enterprise #F113: Enchancment of a Web-Primarily based Artificial Intelligence System for Analyzing Broiler Train Index
(Dr. Guoming Li, Division of Poultry Science, Faculty of Georgia, Athens, Ga.)
Broiler actions, akin to locomotion and movement, may very well be quantified as train index. The train index has been associated to leg nicely being, productiveness and bodily conditions of broilers. Nonetheless, the indicator requires engineering information to control image processing parameters, part specific particular person broilers, select calculation areas and normalize variations to amass fixed values. This enterprise developed a user-friendly platform to calculate the broiler train index, each individually or in groups, from films. The open-source user-friendly platform permits researchers to work along with software program program devices to know animal habits patterns and welfare without having intensive programming information.
The evaluation summary may very well be found on the USPOULTRY site. Data on completely different Affiliation evaluation could also be obtained by visiting the USPOULTRY site, uspoultry.org.