Numerous automatic technological processes control systems that are implemented in the modern agriculture equipment. Automation facilitates technological processes and allows to increase the technical potential such as shorter time of the technological process, more efficient use of the fertilizer, plant protection products and saves fuel. Machinery performance data collected and stored via Telemetry platform can be sent to customer’s computer for overview and decision- making for the following years. However, a significant quantity of data is not automatically processed by the Telemetry platform. Usually, the final decisions by customers are based on their experience. Farmers want to be sure that the equipment they use will not only depend on the technological process, but also reduce the negative impact on the environment.

The aim of this study is to analyze the combine harvester data collected in Telemetry platform during harvesting at manual and auto-steering mode. The study compares the influence of combine harvester steering modes on GHG emissions and diesel fuel consumption using the Life Cycle Assessment (LCA) modules.

The results show that global warming emission, using automatic steering mode, was reduced by 4.79% as compared to the manual driving mode. The diesel fuel consumption at automatic steering mode was reduced by 22.02% compared to the manual driving. The working time analysis has shown a more rational and more accurate technological operation during linear steering mode. In summary, the analysis of the structure work process provides detailed information that can increase the overall productivity of the machine and optimize the work process.