Izvestiya of Saratov University.
Earth Sciences
ISSN 1819-7663 (Print)
ISSN 2542-1921 (Online)

сельское хозяйство

Knowledge spillovers as a factor in the development of agriculture in the regions of Russia

The article considers the influence of knowledge spillovers as a factor of innovative development on the efficiency and intensity of agricultural production in the regions of Russia. The territorial distribution of agricultural patents and references to them in the regions of the country was analyzed, which is one of the methods for identifying knowledge spillovers. Based on this, a typology of Russian regions was carried out on innovative functions of agriculture and the level of creativity.

Transformation of land use systems in Russian regions

The article is devoted to the study of changes in land use systems in various regions and natural zones of Russia for the period from 2000 to 2022. Spatial and temporal patterns of transformation of land use systems within the main agricultural territory of Russia were identified and analyzed. Main directions and tendencies of changes in the areas of the main land and proportions of sown areas of main agricultural crops are considered. The dependence of the transformation of land use systems on the agrarian reforms of the 1990s has been revealed.

Трансформация систем использования земель в регионах России

Статья посвящена исследованию изменения систем использования земель в различных регионах и природных зонах России за период с 2000 по 2022 гг. Были выявлены и проанализированы пространственно-временные закономерности трансформации систем использования земель в пределах основной сельскохозяйственной территории России. Рассмотрены главные направления и тенденции изменения площадей основных земельных угодий и пропорции посевных площадей главных сельскохозяйственных культур.

The Selection of the Optimal Detection Method for Agricultural Crops by Satellite Images of High Resolution (the Saratov Volga Region as an Example)

The article provides finding the optimal method for crop detection by high resolution satellite imagery (using the Landsat 8 and Sentinel 2 shooting systems as an example), examines the advantages and disadvantages of existing algorithms and recording systems and selects the optimal method. The result of the study is the application of the optimal algorithm for crop detection and its verification on arable lands of the Saratov Volga region.