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Agricultural Machinery Operator Monitoring System (Ag-OMS): A Machine Learning Approach for Real-Time Operator Safety Assessment.

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Title: Agricultural Machinery Operator Monitoring System (Ag-OMS): A Machine Learning Approach for Real-Time Operator Safety Assessment.
Authors: Irumva T; Biological Systems Engineering, University of Nebraska, Lincoln, Nebraska, USA., Mwunguzi H; Biological Systems Engineering, University of Nebraska, Lincoln, Nebraska, USA., Pitla SK; Biological Systems Engineering, University of Nebraska, Lincoln, Nebraska, USA., Lowndes B; Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA., Yoder AM; Environmental, Agricultural, & Occupational Health, University of Nebraska Medical Center, Omaha, Nebraska, USA., Siu KC; Department of Health & Rehabilitation Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Source: Journal of agricultural safety and health [J Agric Saf Health] 2023 Apr 23; Vol. 29 (2), pp. 85-97.
Publication Type: Journal Article
Journal Info: Publisher: ASAE Country of Publication: United States NLM ID: 9613956 Publication Model: Print Cited Medium: Print ISSN: 1074-7583 (Print) Linking ISSN: 10747583 NLM ISO Abbreviation: J Agric Saf Health Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
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PubType: Academic Journal
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  Data: Agricultural Machinery Operator Monitoring System (Ag-OMS): A Machine Learning Approach for Real-Time Operator Safety Assessment.
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  Data: <searchLink fieldCode="AU" term="%22Irumva+T%22">Irumva T</searchLink>; Biological Systems Engineering, University of Nebraska, Lincoln, Nebraska, USA.<br /><searchLink fieldCode="AU" term="%22Mwunguzi+H%22">Mwunguzi H</searchLink>; Biological Systems Engineering, University of Nebraska, Lincoln, Nebraska, USA.<br /><searchLink fieldCode="AU" term="%22Pitla+SK%22">Pitla SK</searchLink>; Biological Systems Engineering, University of Nebraska, Lincoln, Nebraska, USA.<br /><searchLink fieldCode="AU" term="%22Lowndes+B%22">Lowndes B</searchLink>; Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA.<br /><searchLink fieldCode="AU" term="%22Yoder+AM%22">Yoder AM</searchLink>; Environmental, Agricultural, & Occupational Health, University of Nebraska Medical Center, Omaha, Nebraska, USA.<br /><searchLink fieldCode="AU" term="%22Siu+KC%22">Siu KC</searchLink>; Department of Health & Rehabilitation Sciences, University of Nebraska Medical Center, Omaha, Nebraska, USA.
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  Data: <searchLink fieldCode="JN" term="%229613956%22">Journal of agricultural safety and health</searchLink> [J Agric Saf Health] 2023 Apr 23; Vol. 29 (2), pp. 85-97.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22ASAE%22">ASAE </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9613956 <i>Publication Model: </i>Print <i>Cited Medium: </i>Print <i>ISSN: </i>1074-7583 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210747583%22">10747583 </searchLink><i>NLM ISO Abbreviation: </i>J Agric Saf Health <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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        Value: 10.13031/jash.15357
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      – Code: eng
        Text: English
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      – TitleFull: Agricultural Machinery Operator Monitoring System (Ag-OMS): A Machine Learning Approach for Real-Time Operator Safety Assessment.
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            NameFull: Irumva T
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            NameFull: Mwunguzi H
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            NameFull: Lowndes B
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            – D: 23
              M: 04
              Text: 2023 Apr 23
              Type: published
              Y: 2023
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