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Yuri Shogenov

Researcher at Russian Academy of Sciences

Publications -  14
Citations -  55

Yuri Shogenov is an academic researcher from Russian Academy of Sciences. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 2, co-authored 3 publications receiving 19 citations.

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Innovative pneumatic device for combined seeding of various tilled crops

TL;DR: In this article, a pneumatic sowing device operating in a vacuum is presented for sowing seeds of row crops and forage crops in a combined and nesting way in compliance with established seeding patterns and rates.
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The Results of Scientific Research of Agro-engineering Scientific Organizations on the Development of Digital Systems in Agriculture

TL;DR: The main scientific and technical achiev ements and research results for 2021 of scientific institutions of agro-engineering profile of the Ministry of Science and Higher Education of the Russian Federation, which are under the scientific and methodological guidance of the Department of Agricultural Sciences of Russian Academy of Sciences (RAS) in the field of development of new machine technologies, energy-packed agricultural machinery, mobile energy and robotic technical means, digital systems for the production of the main types of competitive agricultural products, the development of efficient energy supply systems using artificial intelligence, renewable energy and modern technical service in the agribusiness as mentioned in this paper .
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The use of the Mephosphon drug to accelerate the process of biogas output and ripening of organic wastes

TL;DR: In this paper, a new method for the reclamation of organic waste into biogas with the addition of the biologically active additive Mephosphon to the substrate to accelerate the process of obtaining Biogas (decomposition) and preserving nutrient elements in the final product.
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The Use of Digital Technologies for the Effective Management of Electrotechnological Irradiators

TL;DR: The results of experiments on irradiation of pine and spruce seeds with different doses of ultraviolet radiation are presented in this paper , where an automated system with a VEML6070 digital sensor from Vishay Semiconductors is used.