An unsupervised approach to track pig positions using one top-view RGB camera
Providing computational solutions to modern farming challenges that limit production efficiencies and sustaniable practices.
Developing computational framework to extract information from video and sensor data
Integrating phenomics-derived traits into genomics selection for better farming efficiency
The research results will be delivered through open-source software and friendly interfaces
Using RGB-D sensor-based imaging system coupled with the Python image-processing pipeline to provide an effective approach to predict the body weight of nonrestrained pigs.
Animal Behavior, Phenomics, Computer Vision