Труды сотрудников ИВМ СО РАН

/ M. Sadovsky [et al.] // (8 May 2019 through 10 May 2019 : Springer Verlag, 2019. - Vol. 11465 LNBI. - P271-282, DOI 10.1007/978-3-030-17938-0_25 . -
Аннотация: Distribution of read starts over a sequences genetic entity is studied. Key question was whether the starts are distributed uniformly and homogeneously along a sequence, or there exist some spots of the increased local density of the starts. To answer the question, 15 bacterial genomes have been studied. It was found that some genomes exhibit extremely far distribution pattern, from an homogeneity, while others show lower level of the inhomogeneity. The inhomogeneity level was determined through the Kullback-Leibler distance between the real string distribution, and that one bearing the most probable continuations of the shorter strings. © 2019, Springer Nature Switzerland AG.

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Держатели документа:
Institute of Computational Modelling of SB RAS, Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Institute of Fundamental Biology and Biotechnology, Siberian Federal University, Svobodny prosp., 79, Krasnoyarsk, 660049, Russian Federation
Institute of Space Research and Computer Sciences, Siberian Federal University, Kirenskogo str., 26, Krasnoyarsk, 660074, Russian Federation

Доп.точки доступа:
Sadovsky, M.; Kobets, V.; Khodos, G.; Kuzmin, D.; Sharov, V.

/ M. G. Erunova [et al.] // IOP Conference Series: Earth and Environmental Science : Institute of Physics Publishing, 2019. - Vol. 315: International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH 2019 (20 June 2019 through 22 June 2019, ) Conference code: 152072, Is. 3. - Ст. 032022, DOI 10.1088/1755-1315/315/3/032022 . -
Аннотация: The experience of implementation of GIS and web technologies for regional agriculture of the Krasnoyarsk territory is considered. The experimental agricultural enterprise "Minino", located near the city of Krasnoyarsk, was chosen as a pilot project. For this agricultural enterprise, the comprehensive digital model using geographic information systems, remote sensing and web mapping data processing techniques and software is created. A geospatial database, which contains relevant and archival information about agricultural fields, varieties, crops, soil, particle size distribution, soil-forming rocks, terrain features, has been developed. A series of technological digital maps and cartograms have been created in which information on crop rotations and cultivated crops is concentrated. Archives of available multispectral satellite data of high spatial resolution on the considered territory are analyzed. As a result, a multi-layer electronic map of the agricultural enterprise was created, which contains all available information and can be used for modeling and forecasting crop yields, agricultural planning. The developed methods and software and technological solutions can become a methodological basis for a new generation of information and analytical systems and technologies to support management decisions in the agricultural sector. © 2019 IOP Publishing Ltd. All rights reserved.

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Держатели документа:
Federal Research Center, Krasnoyarsk Science Center, SB RAS, Krasnoyarsk, Russian Federation
Krasnoyarsk Research Institute of Agriculture, Federal Research Center, Krasnoyarsk Science Center, SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Institute of Computational Modelling, SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Erunova, M. G.; Shpedt, A. A.; Trubnikov, Y. N.; Yakubailik, O. E.

/ M. G. Erunova, O. E. Yakubailik // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : International Multidisciplinary Scientific Geoconference, 2019. - Vol. 19: 19th International Multidisciplinary Scientific Geoconference, SGEM 2019 (30 June 2019 through 6 July 2019, ) Conference code: 150486, Is. 2.2. - P863-870, DOI 10.5593/sgem2019/2.2/S11.106 . -
Аннотация: The experience of introduction of GIS technologies in the regional agriculture system of the Krasnoyarsk Territory is given. The digital model of Experimental Agricultural Enterprise “Minino” situated near Krasnoyarsk city is formed using geoinformation technologies, remote sensing data and methods, web mapping software tools. The resulting digital model contains relevant information about the agricultural fields, varieties, crops, soil, granulometric composition, soil-forming rocks, conditions of occurrence in relief. Multispectral satellite images have been selected for the territory under consideration, allowing to effectively solve the problems of agricultural monitoring. A series of technological, digital maps and cartograms have been created, which concentrate information on crop rotations and cultivated crops. In general, a multi-layer electronic map of the agricultural enterprise was created, tabular information of the database of the history of fields was introduced, taking into account all the performed agro technical measures. Access to the prepared thematic maps is carried out on the basis of web-mapping tools. The developed software provides the ability to visualize geospatial data in a normal web browser or by standard web mapping services in desktop software such as MapInfo, QGIS, ArcGIS, etc. Geospatial database of soil information is the first step of digitalization of the system of agriculture of the Krasnoyarsk territory. © SGEM2019. All Rights Reserved.

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Держатели документа:
Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, Russian Federation
Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences (ICM SB RAS), Russian Federation

Доп.точки доступа:
Erunova, M. G.; Yakubailik, O. E.