The use of artificial intelligence algorithms to monitor the technical condition of energy-intensive tractors
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09024.pdf |
| _version_ | 1797345254644383744 |
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| author | Kostomakhin Mikhail Pestryakov Efim Sayapin Alexander Tseiko Mikhail Kostomakhin Nikolay |
| author_facet | Kostomakhin Mikhail Pestryakov Efim Sayapin Alexander Tseiko Mikhail Kostomakhin Nikolay |
| author_sort | Kostomakhin Mikhail |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T11:14:51Z |
| format | Article |
| id | doaj.art-e974aa1a8d1744fc843b9635dae2c234 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:14:51Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-e974aa1a8d1744fc843b9635dae2c2342024-01-26T10:36:37ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014580902410.1051/e3sconf/202345809024e3sconf_emmft2023_09024The use of artificial intelligence algorithms to monitor the technical condition of energy-intensive tractorsKostomakhin Mikhail0Pestryakov Efim1Sayapin Alexander2Tseiko Mikhail3Kostomakhin Nikolay4Federal Scientific Agro-Engineering Center VIMFederal Scientific Agro-Engineering Center VIMFederal Scientific Agro-Engineering Center VIMKaliningrad Research Institute of Agriculture, All-Russian Research Institute of PhypatothologyRussian State Agrarian University – Moscow Timiryazev Agricultural AcademyThe 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09024.pdf |
| spellingShingle | Kostomakhin Mikhail Pestryakov Efim Sayapin Alexander Tseiko Mikhail Kostomakhin Nikolay The use of artificial intelligence algorithms to monitor the technical condition of energy-intensive tractors E3S Web of Conferences |
| title | The use of artificial intelligence algorithms to monitor the technical condition of energy-intensive tractors |
| title_full | The use of artificial intelligence algorithms to monitor the technical condition of energy-intensive tractors |
| title_fullStr | The use of artificial intelligence algorithms to monitor the technical condition of energy-intensive tractors |
| title_full_unstemmed | The use of artificial intelligence algorithms to monitor the technical condition of energy-intensive tractors |
| title_short | The use of artificial intelligence algorithms to monitor the technical condition of energy-intensive tractors |
| title_sort | use of artificial intelligence algorithms to monitor the technical condition of energy intensive tractors |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/95/e3sconf_emmft2023_09024.pdf |
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