Kikuhito Kawasue, Khin Dagon Win, Kumiko Yoshida, Geunho Lee
{"title":"Pig sorting system with three exits that incorporates an RGB-D sensor for constant use during fattening","authors":"Kikuhito Kawasue, Khin Dagon Win, Kumiko Yoshida, Geunho Lee","doi":"10.1007/s10015-023-00917-4","DOIUrl":null,"url":null,"abstract":"<div><p>In pig production, the number of pigs raised on each farm is increasing, but the population of workers involved in pig production is decreasing, so lighter labor is expected. On the other hand, it is also important to improve pig grading and profitability. Weight is a major criterion for pig grading. Too heavy or too light will decrease profits, and pigs need to be shipped at the appropriate weight. However, since each pig weighs more than 100 kg, weighing each pig is very labor-intensive. In large farms, more than 50 pigs are kept in a single piggery, and they are shipped together at the same time, after determining the day when they have reached the proper weight for shipment. In order to improve profitability, it is important to control the growth of pigs in a piggery so that they grow uniformly and to determine the appropriate shipping date. In this study, a prototype system was developed to automatically measure daily weight distribution. If the weight distribution in the piggery is known, appropriate shipping dates can be determined. This paper reports the results of a valid experiment using the developed system.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":"29 1","pages":"37 - 42"},"PeriodicalIF":0.8000,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Life and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s10015-023-00917-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
In pig production, the number of pigs raised on each farm is increasing, but the population of workers involved in pig production is decreasing, so lighter labor is expected. On the other hand, it is also important to improve pig grading and profitability. Weight is a major criterion for pig grading. Too heavy or too light will decrease profits, and pigs need to be shipped at the appropriate weight. However, since each pig weighs more than 100 kg, weighing each pig is very labor-intensive. In large farms, more than 50 pigs are kept in a single piggery, and they are shipped together at the same time, after determining the day when they have reached the proper weight for shipment. In order to improve profitability, it is important to control the growth of pigs in a piggery so that they grow uniformly and to determine the appropriate shipping date. In this study, a prototype system was developed to automatically measure daily weight distribution. If the weight distribution in the piggery is known, appropriate shipping dates can be determined. This paper reports the results of a valid experiment using the developed system.