@article{ART003104504},
author={Jonghee Lee and Seonwoo Park and Gipou Nam and Jinwook Jang and Sungho Lee},
title={Pig Image Learning for Improving Weight Measurement Accuracy},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={7},
pages={33-40}
TY - JOUR
AU - Jonghee Lee
AU - Seonwoo Park
AU - Gipou Nam
AU - Jinwook Jang
AU - Sungho Lee
TI - Pig Image Learning for Improving Weight Measurement Accuracy
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 7
PB - The Korean Society Of Computer And Information
SP - 33
EP - 40
SN - 1598-849X
AB - The live weight of livestock is important information for managing their health and housing conditions, and it can be used to determine the optimal amount of feed and the timing of shipment. In general, it takes a lot of human resources and time to weigh livestock using a scale, and it is not easy to measure each stage of growth, which prevents effective breeding methods such as feeding amount control from being applied. In this paper, we aims to improve the accuracy of weight measurement of piglets, weaned pigs, nursery pigs, and fattening pigs by collecting, analyzing, learning, and predicting video and image data in animal husbandry and pig farming. For this purpose, we trained using Pytorch, YOLO(you only look once) 5 model, and Scikit Learn library and found that the actual and prediction graphs showed a similar flow with a of RMSE(root mean square error) 0.4%. and MAPE(mean absolute percentage error) 0.2%. It can be utilized in the mammalian pig, weaning pig, nursery pig, and fattening pig sections. The accuracy is expected to be continuously improved based on variously trained image and video data and actual measured weight data. It is expected that efficient breeding management will be possible by predicting the production of pigs by part through video reading in the future.
KW - Learned images;video data;livestock pig farming;weight data;regression model
DO -
UR -
ER -
Jonghee Lee, Seonwoo Park, Gipou Nam, Jinwook Jang and Sungho Lee. (2024). Pig Image Learning for Improving Weight Measurement Accuracy. Journal of The Korea Society of Computer and Information, 29(7), 33-40.
Jonghee Lee, Seonwoo Park, Gipou Nam, Jinwook Jang and Sungho Lee. 2024, "Pig Image Learning for Improving Weight Measurement Accuracy", Journal of The Korea Society of Computer and Information, vol.29, no.7 pp.33-40.
Jonghee Lee, Seonwoo Park, Gipou Nam, Jinwook Jang, Sungho Lee "Pig Image Learning for Improving Weight Measurement Accuracy" Journal of The Korea Society of Computer and Information 29.7 pp.33-40 (2024) : 33.
Jonghee Lee, Seonwoo Park, Gipou Nam, Jinwook Jang, Sungho Lee. Pig Image Learning for Improving Weight Measurement Accuracy. 2024; 29(7), 33-40.
Jonghee Lee, Seonwoo Park, Gipou Nam, Jinwook Jang and Sungho Lee. "Pig Image Learning for Improving Weight Measurement Accuracy" Journal of The Korea Society of Computer and Information 29, no.7 (2024) : 33-40.
Jonghee Lee; Seonwoo Park; Gipou Nam; Jinwook Jang; Sungho Lee. Pig Image Learning for Improving Weight Measurement Accuracy. Journal of The Korea Society of Computer and Information, 29(7), 33-40.
Jonghee Lee; Seonwoo Park; Gipou Nam; Jinwook Jang; Sungho Lee. Pig Image Learning for Improving Weight Measurement Accuracy. Journal of The Korea Society of Computer and Information. 2024; 29(7) 33-40.
Jonghee Lee, Seonwoo Park, Gipou Nam, Jinwook Jang, Sungho Lee. Pig Image Learning for Improving Weight Measurement Accuracy. 2024; 29(7), 33-40.
Jonghee Lee, Seonwoo Park, Gipou Nam, Jinwook Jang and Sungho Lee. "Pig Image Learning for Improving Weight Measurement Accuracy" Journal of The Korea Society of Computer and Information 29, no.7 (2024) : 33-40.
