BBAuthors: Lee, W.; Advisor: -; Participants: Ham, Y.; Ban, T.; Jo, O. (2019)
Estimating the growth performance in pigs is important in order to achieve a high productivity of pig farming. We herein analyze and verify the machine learning based estimations for the growth performance in swine which includes the daily gain of body weight (DG), feed intake (FI), required growth period for growing/ nishing phase (GP), and marketed-pigs per sow per year (MSY), based on the farm speci c data and climate, i.e., temperature, humidity, initial age (IA), initial body weight (IBW), number of pigs (NU) and stocking density (SD). The growth data used in our work is collected from 55 pig farms which are located across South Korea for the period between October 2017 and September 2018. In the estimation of growth performance, four machine learning schemes are applied, which... 
