System Design of Optimal Pig Shipment Schedule through Prediction Model

We propose an optimal system for determining the shipping schedule pigs using a predictive model machine learning based on big data. This receives photographic and weight measurement information each pig from camera weighing installed in pen raising corresponding to predetermined fattening period. Then, of these is applied machine-learned advance determine whether or not there are candidate presence absence abdominal fat-forming pigs. And if pig, it determined machine-learning predicting by analyzing pattern increase changes candidate. If timing when pigs, specifically will reach minimum weight. prediction made that considers gain trend tracks pig. A used predict those develop fat, order time. By patterns monitoring can required shipping. In this paper, we would like present point view body type period through system, intramuscular fat has adhered excessively formed fed feed appropriate shipment as status