
Use of ctl harvester .hpr and .mom files to analyze impact of operator training on productivity
Author(s) -
Aigars Strubergs,
Andis Lazdiņš,
Linards Sisenis
Publication year - 2022
Publication title -
engineering for rural development
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.3
H-Index - 13
eISSN - 1691-5739
pISSN - 1691-3043
DOI - 10.22616/erdev.2022.21.tf148
Subject(s) - productivity , training (meteorology) , computer science , operator (biology) , artificial intelligence , economics , biochemistry , chemistry , physics , repressor , meteorology , gene , transcription factor , macroeconomics