Summary and Implications
Developing an automatic lameness diagnosis algorithm will benefit scientists and producers in timely and effective identification of lame individuals before clinical signs are apparent as well as aid producers in their efforts to decrease herd lameness. Being able to predict the lameness in sows can aid in delivering maximum animal health benefits, improving sow lifetime productivity, and optimizing sow farm labor.
Iowa State University
Abell, Caitlyn E.; Johnson, Anna K.; Karriker, Locke A.; Millman, Suzanne T.; and Stalder, Kenneth J.
"Using Classification Trees to Detect Lameness in Sows,"
Animal Industry Report:
AS 659, ASL R2830.
Available at: http://lib.dr.iastate.edu/ans_air/vol659/iss1/81