Mitrofanova Olga Aleksandrovna

Publications in Math-Net.Ru

1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. Analysis of plants color characteristics using aerophotos with different factors of qualitative indicators
   
   Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 13:3 (2017),  278–285
8. Prediction of the spatial distribution of ecological data using kriging and binary regression
   
   Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 2016, no. 3,  97–105
9. Math module to automate the colorimetric method for estimating nitrogen status of plants
   
   Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 2016, no. 1,  85–91