{"title":"数据挑战和基于机器学习的家禽数据分析统计方法的实践方面,以提高食品安全和生产效率。","authors":"M. Pitesky","doi":"10.1079/pavsnnr202015049","DOIUrl":null,"url":null,"abstract":"Leveraging data collected by commercial poultry requires a deep understanding of the data that are collected. Machine learning (ML)-based techniques...","PeriodicalId":39273,"journal":{"name":"CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Data challenges and practical aspects of machine learning-based statistical methods for the analyses of poultry data to improve food safety and production efficiency.\",\"authors\":\"M. Pitesky\",\"doi\":\"10.1079/pavsnnr202015049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Leveraging data collected by commercial poultry requires a deep understanding of the data that are collected. Machine learning (ML)-based techniques...\",\"PeriodicalId\":39273,\"journal\":{\"name\":\"CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1079/pavsnnr202015049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Veterinary\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1079/pavsnnr202015049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Veterinary","Score":null,"Total":0}
Data challenges and practical aspects of machine learning-based statistical methods for the analyses of poultry data to improve food safety and production efficiency.
Leveraging data collected by commercial poultry requires a deep understanding of the data that are collected. Machine learning (ML)-based techniques...