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Publications in Math-Net.Ru
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Determination of crop types based on remote sensing data using artificial intelligence methods
Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 21:1 (2025), 112–121
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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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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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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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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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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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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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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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