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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">agronauka</journal-id><journal-title-group><journal-title xml:lang="ru">Аграрная наука Евро-Северо-Востока</journal-title><trans-title-group xml:lang="en"><trans-title>Agricultural Science Euro-North-East</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-9081</issn><issn pub-type="epub">2500-1396</issn><publisher><publisher-name>FARC North-East</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.30766/2072-9081.2024.25.5.739-753</article-id><article-id custom-type="elpub" pub-id-type="custom">agronauka-1751</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОРНЫЕ СТАТЬИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEW</subject></subj-group></article-categories><title-group><article-title>Применение искусственного интеллекта в сельском хозяйстве  Китая (обзор)</article-title><trans-title-group xml:lang="en"><trans-title>Introducing artificial intelligence in Chinese agriculture (review)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3567-0509</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Раевская</surname><given-names>Е. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Raevskaya</surname><given-names>E. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Раевская Елена Геннадьевна, кандидат хим. наук, старший научный сотрудник</p><p>ул. Усиевича, д. 20, г. Москва, 125190</p></bio><bio xml:lang="en"><p>Elena G. Raevskaya, PhD in Chemistry, senior researcher</p><p>Usievich Street, 20, Moscow, 125190</p></bio><email xlink:type="simple">dir@viniti.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБУН Всероссийский институт научной и технической информации Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian Institute for Scientific and Technical Information, Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>31</day><month>10</month><year>2024</year></pub-date><volume>25</volume><issue>5</issue><elocation-id>739–753</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Раевская Е.Г., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Раевская Е.Г.</copyright-holder><copyright-holder xml:lang="en">Raevskaya E.G.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.agronauka-sv.ru/jour/article/view/1751">https://www.agronauka-sv.ru/jour/article/view/1751</self-uri><abstract><p>В последние годы наблюдаются значительные прорывы в развитии технологий с применением искусственного интеллекта (ИИ), кардинальным образом влияющих на самые разнообразные сферы жизни и деятельности человека.  В данной обзорной статье в качестве объекта исследования рассматривается использование ИИ в сельском  хозяйстве на примере Китая, который является лидером в темпах внедрения ИИ в национальную экономику и стремится перехватить у США общее лидерство в разработках ИИ-технологий. Благодаря активной работе в этом направлении и значительным финансовым вложениям в данную область, Китаю удалось существенно трансформировать свой сельскохозяйственный сектор. Цель статьи – анализ современных тенденций и возможностей, которые дает применение ИИ в аграрном секторе экономики КНР. Для этого рассмотрены трудности, с которыми сталкивается Китай при развитии сельского хозяйства, а также основные, известные на сегодняшний день направления применения ИИ в сельском хозяйстве и виды используемых технологий. Обобщена информация о китайских компаниях, применяющих ИИ-технологии в сельском хозяйстве, включая их специализацию, используемые технологии и извлекаемые преимущества. Предварительные данные показали, что ИИ используется,  в первую очередь, для повышения производительности труда и эффективности производства, а, во вторую очередь, для решения проблем нехватки рабочей силы и достижения устойчивости производства. Анализ ситуации позволяет сделать вывод о том, что ИИ может стать главной движущей силой развития сельского хозяйства.</p></abstract><trans-abstract xml:lang="en"><p>In recent years, significant breakthroughs are observed in developing artificial intelligence (AI), which radically affects the most diverse areas of human life and activity. This review article examines the introduction of AI in agriculture using the example of China, which is a leader in the pace of introduction of AI into the national economy and seeks to head off the United States in the overall leadership in the development of AI technologies. Thanks to active work in this direction and significant financial investments in this area, China has managed to transform substantially its agricultural sector.  The purpose of the article is to analyze the current trends and opportunities offered by the application of AI in the agricultural sector of the PRC economy. To this end, a series of difficulties that China faces in the development of agriculture is considered, as well as the main currently known areas of application of AI in agriculture and the types of technologies used. Information on Chinese companies using AI technologies in agriculture is summarized, including their specialization, technologies used and benefits gained. Early evidence shows that AI is being applied firstly to improve productivity and manufacturing performance, and secondly to address labor shortages and achieve manufacturing sustainability. Analysis of the situation allows  us to conclude that AI can become the main driving force in the development of agriculture.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>сельскохозяйственные роботы</kwd><kwd>сельскохозяйственные дроны</kwd><kwd>точное земледелие</kwd><kwd>умная ферма</kwd><kwd>устойчивое сельское хозяйство</kwd></kwd-group><kwd-group xml:lang="en"><kwd>agricultural robots</kwd><kwd>agricultural drones</kwd><kwd>precision farming</kwd><kwd>smart farm</kwd><kwd>sustainable agriculture</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">работа выполнена при поддержке Минобрнауки РФ в рамках Государственного задания ФГБУН Всероссийский институт научной и технической информации Российской академии наук (тема № FFF-2022-0003). Автор благодарит рецензентов за их вклад в экспертную оценку этой работы.</funding-statement><funding-statement xml:lang="en">the research was carried out under the support of the Ministry of Science and Higher Education of the Russian Federation within the state assignment of Russian Institute for Scientific and Technical Information (theme No. FFF-2022-0003).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">The state of AI in 2023: Generative AI’s breakout year. McKinsey, 2023. Survey. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year</mixed-citation><mixed-citation xml:lang="en">The state of AI in 2023: Generative AI’s breakout year. McKinsey, 2023. 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