Fang Tian, Han Tan, Cheng Zhang, Yong Zhou, Y. Yao
{"title":"A Study of EEMD-Based Dynamic Animal Weighing Fusion Algorithm","authors":"Fang Tian, Han Tan, Cheng Zhang, Yong Zhou, Y. Yao","doi":"10.1145/3386415.3387025","DOIUrl":null,"url":null,"abstract":"In animal weight measurement, as animal movements are uncontrollable, it's difficult to obtain static weight of the animal. An EEMD-based dynamic animal weighing fusion algorithm was proposed in this paper to solve the problem of inaccurate weight data in animal weighing. Huyang sheep taken as experimental objects, experimental verification was carried out. The results indicate that the proposed algorithm can obtain the actual weight in the 8s measurement process, and the error of the measured weight is smaller than 1%.","PeriodicalId":250211,"journal":{"name":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386415.3387025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In animal weight measurement, as animal movements are uncontrollable, it's difficult to obtain static weight of the animal. An EEMD-based dynamic animal weighing fusion algorithm was proposed in this paper to solve the problem of inaccurate weight data in animal weighing. Huyang sheep taken as experimental objects, experimental verification was carried out. The results indicate that the proposed algorithm can obtain the actual weight in the 8s measurement process, and the error of the measured weight is smaller than 1%.
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