Zobrazeno 1 - 10
of 440
pro vyhledávání: '"Petrovskaia AN"'
Autor:
Koldasbayeva, Diana, Tregubova, Polina, Gasanov, Mikhail, Zaytsev, Alexey, Petrovskaia, Anna, Burnaev, Evgeny
With the rise of electronic data, particularly Earth observation data, data-based geospatial modelling using machine learning (ML) has gained popularity in environmental research. Accurate geospatial predictions are vital for domain research based on
Externí odkaz:
http://arxiv.org/abs/2311.11057
Spatial soil sampling is an integral part of a soil survey aimed at creating a soil map. We propose considering the soil sampling procedure as a task of optimal design. In practical terms, optimal experiments can reduce experimentation costs, as they
Externí odkaz:
http://arxiv.org/abs/2103.10337
Remote sensing images are used for a variety of analyses, from agricultural monitoring, to disaster relief, to resource planning, among others. The images can be corrupted due to a number of reasons, including instrument errors and natural obstacles
Externí odkaz:
http://arxiv.org/abs/2004.04209
Autor:
Matvienko, Ivan, Gasanov, Mikhail, Petrovskaia, Anna, Jana, Raghavendra Belur, Pukalchik, Maria, Oseledets, Ivan
Machine learning (ML) methods and neural networks (NN) are widely implemented for crop types recognition and classification based on satellite images. However, most of these studies use several multi-temporal images which could be inapplicable for cl
Externí odkaz:
http://arxiv.org/abs/2004.03468
Akademický článek
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Autor:
Petrovskii, Stanislav1 (AUTHOR) s.petrovsky@spbu.ru, Petrovskaia, Alina1 (AUTHOR), Sizova, Anastasia1 (AUTHOR), Sizov, Vladimir1 (AUTHOR), Grachova, Elena1 (AUTHOR) e.grachova@spbu.ru
Publikováno v:
ChemPlusChem. Jul2023, Vol. 88 Issue 7, p1-11. 11p.
Publikováno v:
Sensors, Vol 22, Iss 23, p 9273 (2022)
Remote sensing is increasingly recognized as a convenient tool with a wide variety of uses in agriculture. Landsat-7 has supplied multi-spectral imagery of the Earth’s surface for more than 4 years and has become an important data source for a larg
Externí odkaz:
https://doaj.org/article/fd175749800a4896aee106fed50e171b
Autor:
Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Maxim Kuznetsov, Raghavendra Jana, Maria Pukalchik, Ivan Oseledets
Publikováno v:
Sensors, Vol 22, Iss 22, p 8600 (2022)
Accurate information about growing crops allows for regulating the internal stocks of agricultural products and drawing strategies for negotiating agricultural commodities on financial markets. Machine learning methods are widely implemented for crop
Externí odkaz:
https://doaj.org/article/a31cefe605684fbba9f7cdf02f6cceb3
Autor:
Petrovskaia, Anna1 (AUTHOR) anna.petrovskaia@skoltech.ru, Jana, Raghavendra2 (AUTHOR), Oseledets, Ivan1,3 (AUTHOR)
Publikováno v:
Sensors (14248220). Dec2022, Vol. 22 Issue 23, p9273. 9p.
Autor:
Petrovskaia, Natalia I.1 (AUTHOR) n.petrovskaia@uu.nl
Publikováno v:
Quaerendo. 2024, Vol. 54 Issue 2/3, p113-128. 16p.