ARTIFICIAL INTELLIGENCE IN AGRICULTURE: EMPLOYEES' PERCEPTION OF OCCUPATIONAL HEALTH AND SAFETY RISKS PUBLISHED
Rolf Athalvin LUPU (1), Anastasia CHIS (2), George POPESCU (3) (ORCID: 0009-0004-5762-7119) 1 Politehnica University of Timișoara, România 2 University of Petrosani, România 3 University of Life Sciences "King Mihai I" from Timișoara, România popescu.george@usvt.roThe increasing adoption of Artificial Intelligence (AI) in agriculture is transforming farming practices while introducing new challenges related to occupational health and safety (OHS). AI technologies have the potential to improve productivity, optimize resource utilization, support decision-making, and automate repetitive or hazardous tasks. However, their successful implementation depends not only on technological capabilities but also on employees' awareness, acceptance, and perception of the associated occupational risks. This study investigates employees' perceptions of AI implementation and its potential impact on workplace safety in agricultural small and medium-sized enterprises (SMEs).
The research was conducted in 35 agricultural enterprises from Timiș County, Romania, representing crop production, fruit cultivation, and livestock farming. A structured questionnaire was administered to 223 respondents to evaluate their knowledge of AI, confidence in its implementation, perceived occupational risks, expected consequences, and preferred preventive measures. The collected data were statistically processed using Microsoft Excel and STATGRAPHICS, while Analysis of Variance (ANOVA) was applied to assess the statistical significance of the results. The findings indicate that only 17% of respondents considered themselves sufficiently informed about AI applications, whereas more than half expressed the need for additional information and training. Workforce reduction, deterioration of interpersonal relationships, and the need for continuous professional development were identified as the main concerns associated with AI adoption. The results emphasize the importance of combining technological innovation with effective OHS management, employee training, and a human-centered approach to support the safe and sustainable implementation of AI in agriculture. The study provides practical insights for managers, OHS specialists, and policymakers involved in the digital transformation of agricultural SMEs, contributing to the development of safer and more resilient workplaces.
Artificial Intelligence, occupational health and safety, agricultural SMEs, employee perception, risk perception
geodesy engineering
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