Monitoring the Technical Condition of Energy-intensive Tractors Using Artificial Intelligence Algorithms

The analysis is performed and proposals are presented to increase the level of technical maintenance, improve the testability and the crucial for functioning of the whole equipment parts of domestic energy-intensive machinery using artificial intelligence algorithms and new diagnostic devices. The growing role of artificial intelligence in diagnostics of the condition of agricultural equipment, accumulating huge data banks and processing large arrays of data in agriculture is considered.