Evaluation of combine harvester performance telemetry data

At present, such smart systems like automatic steering, telemetry and automation of technological processes based on artificial intelligence are widely used in precision agriculture. The biggest challenge for agriculture is how to make optimal use of agricultural machinery and manage the work of the staff. The entire management of a farm can be simplified and facilitated by a telemetry system, otherwise known as a remote monitoring system, for a machine or implement. The analysis of the data obtained by this system provides an opportunity to optimize the business processes. Studies have shown that the use of automatic navigation systems allows the choice of appropriate driving strategies and the avoidance of tillage overlaps or uncultivated areas. Based on the experience of agricultural professionals, the processing of data recorded and stored in the telemetry system is encountered. The main question is how to correctly interpret, analyse and in the future use the information obtained from the yield, fertilization, spraying, and soil agrochemical properties maps for making final decisions. For the study, the harvest data collected and stored in the telemetry system of the Claas Lexion combine were selected. The aim of the work is to analyse the winter wheat, spring barley, canola, oats, corn, and beans crop harvest data and show the combine harvester efficiency increase possibilities. The structural analysis of the collected working time data of the combine harvester was performed by the methods of mathematical statistics. As the telemetry system shows, the grain unloading takes in average 2 minutes. According to these data it could be said that a grain tank unloading during combine run for a 2 min, with average yield of 7 t haE−1 could increase the combine performance by 15%. At the same time, the 2 min drive during grain tank unloading would increase the harvested area by 3.4%.