Sow culling decision-making support system using machine learning model

In recent, Korea hog farm industry is facing FTA and stock farms are experiencing difficulties through increase in production cost such as raw & subsidiary material cost and energy cost. Although there are many elements that influence the productivity of hog farm, plan and execution of sow culling is very important. In majority of farms, there are many cases of not considering importantly of the culling of sow with deteriorating production efficiency. Farms desperately need a system that can reduce their feed cost and production cost through sow culling decision-making. Accordingly, the proposed system uses machine learning model to compared data such as sow's corresponding parity and mean parity of sow to provide expected culling status of sow to user. User manages sow by checking the three steps of culling notification status of good, warning and culling and makes decision of culling, thereby expected to reduce the feed being wasted and production cost.