Abstract
The development of new software that uses artificial intelligence in its work is being carried out all over the world. Also in parallel with the programs new computing devices are being developed that allow storing and processing large amounts of data. It allows us to create complex computer systems that involve many third-party devices. This article is devoted to the growing role of artificial intelligence in agriculture, namely in diagnosing the condition of agricultural machinery. Modern devices for diagnosing the condition of the tractor fleet allow us to accumulate a large amount of information. Also on many modern tractors the manufacturer already provides a built-in on-board system based on a CAN interface, which serves to control the operation of the equipment. It allows us to accumulate huge data banks. But the question now arises about processing all this information. This article describes methods for structuring large amounts of such information and most importantly analyzing them using artificial intelligence algorithms.
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