{"title":"Investigation of the efficiency of work processes within a farm using open data","authors":"Thoralf Stein","doi":"10.15150/LT.2020.3232","DOIUrl":null,"url":null,"abstract":"Research has long been concerned with the investigation and optimization of agricultural processes. Still, there is potential to make processes more resource-efficient. An important step in exploiting this potential is to examine whether differences in efficiency within a company are due to natural reasons such as soil properties or other reasons such as vehicle control. In this work a possible procedure for such an investigation is presented. For this purpose, recorded machine data from the project “BiDaLAP” is combined with various open databases. With that, efficiency parameters can be quantified. A large part of the natural causes for efficiency differences can be identified by the databases. It can also be shown which operational parameters still have optimization potential and how big the efficiency differences really are.","PeriodicalId":35524,"journal":{"name":"Landtechnik","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Landtechnik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15150/LT.2020.3232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Research has long been concerned with the investigation and optimization of agricultural processes. Still, there is potential to make processes more resource-efficient. An important step in exploiting this potential is to examine whether differences in efficiency within a company are due to natural reasons such as soil properties or other reasons such as vehicle control. In this work a possible procedure for such an investigation is presented. For this purpose, recorded machine data from the project “BiDaLAP” is combined with various open databases. With that, efficiency parameters can be quantified. A large part of the natural causes for efficiency differences can be identified by the databases. It can also be shown which operational parameters still have optimization potential and how big the efficiency differences really are.