This study is devoted to identifying changes in the working conditions of tractor drivers in workplace computerization and developing proposals for updating sanitary standards for tractors and agricultural machinery. The paper analyzes modern technologies, such as the Internet of Things (IoT), artificial intelligence (AI), biometric sensors, and energy-efficient systems, which can regulate the microclimate in tractor cabs. Based on a review of the literature and practical examples, it is determined that introducing these technologies significantly changes operators’ working conditions, increasing their comfort and safety, but also requires the adaptation of existing regulations. The study emphasizes the need to revise sanitary requirements to consider new factors, such as process automation and the impact of intelligent systems on the health of operators. The results can be used to improve the regulatory framework in the field of agricultural labour, which will contribute to increasing the efficiency of agricultural production and protecting workers’ health.

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Intelligent Technologies for Optimising the Workplaces of Tractor Drivers: Safety and Comfort in Modern Machine and Tractor Units

  • Maksym Krainiuk,
  • Oleh Shcherbak

摘要

This study is devoted to identifying changes in the working conditions of tractor drivers in workplace computerization and developing proposals for updating sanitary standards for tractors and agricultural machinery. The paper analyzes modern technologies, such as the Internet of Things (IoT), artificial intelligence (AI), biometric sensors, and energy-efficient systems, which can regulate the microclimate in tractor cabs. Based on a review of the literature and practical examples, it is determined that introducing these technologies significantly changes operators’ working conditions, increasing their comfort and safety, but also requires the adaptation of existing regulations. The study emphasizes the need to revise sanitary requirements to consider new factors, such as process automation and the impact of intelligent systems on the health of operators. The results can be used to improve the regulatory framework in the field of agricultural labour, which will contribute to increasing the efficiency of agricultural production and protecting workers’ health.