News
New research on Color-independent cattle identification using keypoint detection
In this study, we explored artificial intelligence techniques to identify cows independently of their color pattern.
New research on pregnancy detection in Beef cows using deep learning algorithms
Deep learning algorithms applied to luteal Color Doppler ultrasonography accurately classified pregnancy status as early as day 20 after insemination, achieving performance comparable to trained personnel. This approach holds promise for enhancing workflow efficiency in commercial beef cattle reproductive management.
Congratulations to Jordan Hooker for his successful M.S. defense
Jordan Hooker successfully defended his M.S. thesis titled "Harnessing sensor technologies and machine learning for monitoring behavioral and productive indicators in dairy cows" On Last Friday, March 28th.
Recent paper published on Broiler mortality monitoring with Machine Learning
New seed grant awarded on ultrasound image analysis
Meet Our New Facultuy
Post originally from ADS news letter