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XIV International Scientific Conference “INTERAGROMASH 2021"
Vol. 1: Precision Agriculture and Agricultural Machinery Industry.
Springer, 2021.
Beskopylny A., Shamtsyan M.
This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry.
The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used in the educational process at specific agricultural universities or during vocational training at enterprises and become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.
Chapters
Polomarchuk A., , in: XIV International Scientific Conference “INTERAGROMASH 2021"Vol. 1: Precision Agriculture and Agricultural Machinery Industry.: Springer, 2021. P. 502–510.
In this article, the cross-flow phenomenon is considered from the approach of the analysis by digital footprint method, based on geotagging. The goal of the study is to test the cross-logistic approach to characterize the tourist flow of the museum clusters, based on TripAdvisor data. The empirical database included 221 museums united into 36 museums ...
Added: October 31, 2021
Fainshtein E., , in: XIV International Scientific Conference “INTERAGROMASH 2021"Vol. 1: Precision Agriculture and Agricultural Machinery Industry.: Springer, 2021. P. 475–483.
Due to the e-commerce rapid development during the COVID pandemic, the demand for logistics and its importance is increasing. A satisfied customer can drive e-commerce business forward. As logistical needs become more complex and logistics market becomes more competitive, service companies must strive to continually improve their value proposition to maintain their competitive edge. This ...
Added: November 1, 2021
Gorbacheva A., Krenke A., Puzachenko M. et al., Geoderma Regional 2026 Vol. 46 Article e01124
Legacy soil maps remain essential for national land-use planning. However, their thematic accuracy and spatial resolution are often insufficient for contemporary applications requiring reliable estimates. This study presents a digital soil-mapping approach to update legacy soil information without extensive field sampling, demonstrated for arable lands in the Republic of Tatarstan (4.5 million ha). The proposed ...
Added: August 18, 2026
Tsydypova M., Современные проблемы дистанционного зондирования Земли из космоса 2026 Т. 23 № 3 С. 263–275
The article presents a methodology for mapping coniferous forest decline, based on the integration of automated remote sensing data interpretation techniques, vegetation indices, remote sensing data on above-ground biomass (Biomass CCI (Climate Change Initiative)), and materials from ground-based forest pathology surveys using forests of the Khamar-Daban ridge (Republic of Buryatia) as a case study. The ...
Added: August 9, 2026
Faizullin R., Mustafin M., Svinin M. et al., , in: 2025 9th International Conference on Information, Control, and Communication Technologies (ICCT-2025).: IEEE, 2025. P. 1–4.
This work addresses the problem of energy-constrained coverage of agricultural fields using a fleet of identical unmanned aerial vehicles (UAVs). Each UAV must complete a spraying mission over a designated area, subject to limited battery capacity. To ensure energy feasibility, static charging stations are deployed along the field’s perimeter. The agricultural field is first partitioned ...
Added: June 23, 2026
Faizullin R., Imamov N., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 25 – 34.
This article considers a dual problem of optimizing field coverage while minimizing a soil compaction and managing energy constraints of agricultural robots. The soil compaction in precision agriculture is a major challenge, as mobile robots are becoming increasingly common in field operations. A proposed optimization combines a soil compaction risk assessment with energy-efficient trajectory planning ...
Added: March 17, 2026
O. I. Vendina, A. V. Sheludkov, Gritsenko A. A., Regional Research of Russia 2024 Vol. 14 No. Suppl 1 P. S10–S30
The article is based on the materials of the field research conducted in Krasnodar krai in the summer–autumn of 2023, as well as on the analysis of articles and projects devoted to the substantiation of spatial forms and borders of Russian urban agglomerations. The Krasnodar urban agglomeration was chosen for several reasons: (a) the intensive ...
Added: October 10, 2025
Moskovchenko D., Roman Fedorov, Fakhretdinov A., Urban Ecosystems 2025 No. 28 Article 155
The northern part of western Siberia, which comprises the Khanty-Mansiysk and Yamalo-Nenets Autonomous Districts of Tyumen Oblast, Russia, is one of the most urbanized areas exposed to the subarctic climate. Here, we study the specifc socio-natural interactions afected by the development of urban green infrastructure in such climatic zones as middle and northern taiga, as ...
Added: August 4, 2025
N. S. Kulyasov, N. N. Novik, Klyukin N. D. et al., , in: IOP Conference Series: Earth and Environmental Science. Vol. 548 (2020) 022090. III International Scientific Conference: AGRITECH-III-2020: Agribusiness, Environmental Engineering and Biotechnologies 18-20 June 2020, Krasnoyarsk, Russia.: Institute of Physics Publishing (IOP), 2020. Ch. 2.
The paper is devoted to the analysis of problems and the search for ways to develop precision agriculture in the Russian Federation. The study analyzed the current state of precision agriculture and the level of digitalization of agriculture in the Russian Federation. The main problems for the development of precision agriculture in the Russian Federation ...
Added: September 27, 2024
Menshchikov A., Shadrin D., Prutyanov V. et al., IEEE Transactions on Computers 2021 Vol. 70 No. 8 P. 1175–1188
The Hogweed of Sosnowskyi (lat. Heracleum sosnowskyi) is poisonous for humans, dangerous for farming crops, and local ecosystems. This plant is fast-growing and has already spread all over Eurasia: from Germany to the Siberian part of Russia, and its distribution expands year-by-year. In-situ detection of this harmful plant is a tremendous challenge for many countries. ...
Added: May 11, 2024
Yu. A. Dubnov, A. Yu. Popkov, Polishchuk V. Y. et al., Automation and Remote Control 2023 Vol. 84 No. 1 P. 64–81
Randomized machine learning focuses on problems with considerable uncertainty in data and models. Machine learning algorithms are formulated in terms of a functional entropylinear programming problem. We adapt these algorithms to forecasting problems on an example of the evolution of thermokarst lakes area in permafrost zones. Thermokarst lakes generate methane, a greenhouse gas affecting climate ...
Added: February 5, 2024
Zelenin E., Gurinov A., Garipova S. et al., Journal of Maps 2023 Vol. 19 No. 1 Article 2252006
The Kamchatka Peninsula lies on the eastern active margin of Eurasia, adjacent to the Kuril-Kamchatka subduction zone. In this study, we provide a geomorphological map of the Central Kamchatka Depression – the largest sedimentary basin in Kamchatka and also in all the island arcs of the North Pacific. The depression extends along Kamchatka at latitudes ...
Added: October 27, 2023
Shabanov N., Sergey A. Bartalev, Kobayashi H. et al., IEEE Transactions on Geoscience and Remote Sensing 2023 Vol. 61 Article 4405717
Forest is a multi-layered canopy, where overstory and understory implement different biogeochemical cycles, phenology and functional role. Remote sensing products typically estimate forest total Leaf Area Index (LAI), while few quantify its components. The theoretical understanding of foliage distribution between layers is still quite limited. In this study we’ve developed a semi-empirical model for decomposition ...
Added: July 5, 2023
Grigoryev T., Verezemskaya P., Krinitskiy M. et al., Remote Sensing 2022 Vol. 14 No. 22 Article 5837
Global warming has made the Arctic increasingly available for marine operations and created a demand for reliable operational sea ice forecasts to increase safety. Because ocean-ice numerical models are highly computationally intensive, relatively lightweight ML-based methods may be more efficient for sea ice forecasting. Many studies have exploited different deep learning models alongside classical approaches ...
Added: June 19, 2023
IEEE, 2023.
Added: March 22, 2023
Loupian E. A., Bourtsev M. A., Proshin A. A. et al., Remote Sensing 2022 Vol. 14 No. 1 Article 77
Currently, when satellite data volumes grow rapidly and exceed petabyte values and their quality provides reliable analysis of long-term time series, traditional data handling methods assuming local storage and processing may be impossible to implement for small or distributed research teams. Thus, new methods based on modern web technologies providing access to very large distributed ...
Added: January 20, 2023
[б.и.], 2022.
The Dzhety-asar culture occupied a vast and open landscape within the eastern Syr Darya delta during much of the 1st millennium AD. The area is today dried out and comprises some three to four dozen medieval settlements spread across an area of around 3000 km2 . In this sense the study of the culture and ...
Added: November 3, 2022
Gizatullin A., Alekseenko N., Geography, Environment, Sustainability 2022 Vol. 15 No. 2 P. 31–37
Most methods in the field of wildfire prevention are based on expert assessment of fire danger factors. However,
their weights are usually assumed constant for the entire application area despite the geographical and seasonal changes
of factors. This study aimed to develop a wildfire prevention method based on partial and general fire danger ratings taking
into account their ...
Added: October 24, 2022
Rees W. G., Tutubalina O. V., A. Medvedev et al., Polar Record 2022 Vol. 58 Article e37
The vegetation at and beyond the northern edge of the world’s boreal forest plays an important though imperfectly understood role in the climate system. This is particularly true within Russia, where only a small proportion of the boreal land area has been studied in depth, and little is known about its recent evolution over time. ...
Added: October 19, 2022
Bartalev S. A., Богодухов М. А., Zharko V. et al., Современные проблемы дистанционного зондирования Земли из космоса 2022 Т. 19 № 4 С. 195–206
The paper presents an analysis of ICESat-2 data capabilities for forest height estimation and assessment of its spatial distribution over Russia. A brief overview of available current and historic lidar satellite data products is carried out. Physical basis of ATLAS instrument operation as well as an approach to form ATL08 data product with information on ...
Added: October 19, 2022
Bykov P. L., Gordin V. A., Tarasova L. L. et al., IEEE Transactions on Geoscience and Remote Sensing 2022 Vol. 60 Article 4511809
The Hydrometeorological Center of Russia receives 2 agrometeorological information from about 950 stations one time 3 per ten days and the remote sensing Advanced Scatterometer 4 (ASCAT) data from three Meteorological Operational (MetOp) 5 satellites. We suggest a combined objective analysis (OA) of the 6 available water content based on the available water content 7 ...
Added: October 19, 2022
Lukin A., Artemyev A. V., Petrukovich A. A. et al., Physics of Plasmas 2021 Vol. 28 P. 102901–102901
The earth's magnetotail is characterized by stretched magnetic field lines. Energetic particles are effectively scattered due to the field-line curvature, which then leads to isotropization of energetic particle distributions and particle precipitation to the earth's atmosphere. Measurements of precipitation at low-altitude spacecrafts are, thus, often used to remotely probe the magnetotail current sheet configuration. This ...
Added: June 9, 2022
Loupian E., Burtsev M., Proshin A. et al., Remote Sensing 2022 Vol. 14 No. 1 Article 77
Currently, when satellite data volumes grow rapidly and exceed petabyte values and their quality provides reliable analysis of long-term time series, traditional data handling methods assuming local storage and processing may be impossible to implement for small or distributed research teams. Thus, new methods based on modern web technologies providing access to very large distributed ...
Added: February 3, 2022
Bartalev S. A., Stytsenko F. V., Contemporary Problems of Ecology 2021 Vol. 14 No. 7 P. 711–716
The paper presents the results of a lethality assessment of forest fires (the proportion of the dead forest areas in comparison to the total area affected by fire) in Russian forests for the period of 2006-2019 according to remote-sensing data. The determined dependence of the probability of pyrogenic forest destruction on the time of the ...
Added: February 3, 2022