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. |
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| 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 |
| ISSN: | 1074-7583 |
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| DOI: | 10.13031/jash.15357 |
