기계학습기반 양돈생산성 예측방안

Production Performance Prediction of Pig Farming using Machine Learning

초록

Smart pig farm which is based on IoT has been widely adopted by many pig farmers. In order to achieve optimal control of smart pig farm, the relation between environmental conditions and performance metric should be characterized. In this study, the relation between multiple environmental conditions including temperature, humidity and various performance metrics, which are daily gain, feed intake, and MSY, is analyzed based on data obtained from 55 real pig farm. Especially, based on preprocessing of data, various regression based machine learning algorithms are considered. Through performance evaluation, we show that the performance can be predicted with high precision, which can improve the efficiency of management.

키워드

Machine learningpig farmbig dataperformance metricsmart farm
제목
기계학습기반 양돈생산성 예측방안
제목 (타언어)
Production Performance Prediction of Pig Farming using Machine Learning
저자
이웅섭성길영반태원함영화
DOI
10.6109/jkiice.2020.24.1.130
발행일
2020
저널명
한국정보통신학회논문지
24
1
페이지
130 ~ 133