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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
A. E. Molin, I. S. Blekanov, E. P. Mitrofanov, O. A. Mitrofanova, “Synthetic data generation methods for training neural networks in the task of segmenting the level of crop nitrogen status in images of unmanned aerial vehicles in an agricultural field”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 20:1 (2024), 20–33  |
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2022 |
| 2. |
O. A. Mitrofanova, E. P. Mitrofanov, N. A. Bure, “Ontological approach application to the design of a geospatial experimental database for information support of research in precision agriculture”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 18:2 (2022), 253–262 |
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2021 |
| 3. |
V. P. Yakushev, V. M. Bure, O. A. Mitrofanova, E. P. Mitrofanov, “Theoretical foundations of probabilistic and statistical forecasting of agrometeorological risks”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 17:2 (2021), 174–182  |
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2020 |
| 4. |
V. P. Yakushev, V. M. Bure, O. A. Mitrofanova, E. P. Mitrofanov, “On the issue of semivariograms constructing automation
for precision agriculture problems”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 16:2 (2020), 177–185 |
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| 5. |
V. P. Iakushev, V. M. Bure, O. A. Mitrofanova, E. P. Mitrofanov, “The use of geostatistical methods to analyze the transition feasibility to the differential application of agrochemicals technologies”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 16:1 (2020), 31–40 |
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2018 |
| 6. |
V. M. Bure, E. P. Mitrofanov, O. A. Mitrofanova, A. F. Petrushin, “Selection of homogeneous zones of agricultural field for laying of experiments using unmanned aerial vehicle”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 14:2 (2018), 145–150 |
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2017 |
| 7. |
A. G. Topaj, E. P. Mitrofanov, “Assimilation of data in the imitative modeling of environmental processes by the method of minimizing corrective perturbations”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 13:3 (2017), 326–338 |
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