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Инновационные технологии цифрового земледелия как основа устойчивого развития аграрного сектора

Инновационные технологии цифрового земледелия как основа устойчивого развития аграрного сектора

Abstract

Современное сельское хозяйство находится на этапе трансформации, обусловленной необходимостью устойчивого развития, обеспечения продовольственной безопасности и снижения экологической нагрузки. В статье раскрывается потенциал цифровизации и «зеленых» 116 инновационных технологий с целью повышения эффективности аграрного производства. Рассматриваются такие направления, как органическое сельское хозяйство, технологии lean-менеджмента, smart farming, применение искусственного интеллекта, Интернета вещей, роботизации и big data. Проведен сравнительный анализ международного и регионального опыта, в частности Омской области и Кыргызской Республики, определяющий лучшие практики интеграции цифровых решений в сельхозпроизводство. Modern agriculture is at the stage of transformation due to the need for sustainable development, ensuring food security and reducing the environmental burden. The article reveals the potential of digitalization and "green" innovative technologies in order to increase the efficiency of agricultural production. Such areas as organic agriculture, lean management technologies, smart farming, the use of artificial intelligence, the Internet of Things, robotics and big data are considered. A comparative analysis of international and regional experience, in particular the Omsk region and the Kyrgyz Republic, has been conducted, identifying the best practices for integrating digital solutions into agricultural production.

Country
Belarus
Keywords

agro-innovation, sustainable development, smart agriculture, green technologies, цифровизация аграрного сектора, умное сельское хозяйство, устойчивое развитие, lean technologies, зеленые технологии, digitalization, агроинновации, Lean-технологии

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    popularity
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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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