| Enabling precision agriculture through embedded sensing with artificial intelligence D Shadrin, A Menshchikov, A Somov, G Bornemann, J Hauslage, ... IEEE Transactions on Instrumentation and Measurement 69 (7), 4103-4113, 2019 | 118 | 2019 |
| Pervasive agriculture: IoT-enabled greenhouse for plant growth control A Somov, D Shadrin, I Fastovets, A Nikitin, S Matveev, O Hrinchuk IEEE Pervasive Computing 17 (4), 65-75, 2018 | 91 | 2018 |
| Designing future precision agriculture: Detection of seeds germination using artificial intelligence on a low-power embedded system D Shadrin, A Menshchikov, D Ermilov, A Somov IEEE Sensors Journal 19 (23), 11573-11582, 2019 | 80 | 2019 |
| Image compression and plants classification using machine learning in controlled-environment agriculture: Antarctic station use case S Nesteruk, D Shadrin, M Pukalchik, A Somov, C Zeidler, P Zabel, ... IEEE Sensors Journal 21 (16), 17564-17572, 2021 | 42 | 2021 |
| Real-time detection of hogweed: UAV platform empowered by deep learning A Menshchikov, D Shadrin, V Prutyanov, D Lopatkin, S Sosnin, ... IEEE Transactions on Computers 70 (8), 1175-1188, 2021 | 40 | 2021 |
| Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data D Koldasbayeva, P Tregubova, D Shadrin, M Gasanov, M Pukalchik Scientific reports 12 (1), 6128, 2022 | 21 | 2022 |
| MixChannel: Advanced augmentation for multispectral satellite images S Illarionova, S Nesteruk, D Shadrin, V Ignatiev, M Pukalchik, I Oseledets Remote Sensing 13 (11), 2181, 2021 | 21 | 2021 |
| An automated approach to groundwater quality monitoring—geospatial mapping based on combined application of Gaussian Process Regression and Bayesian Information Criterion D Shadrin, A Nikitin, P Tregubova, V Terekhova, R Jana, S Matveev, ... Water 13 (4), 400, 2021 | 21 | 2021 |
| Artificial intelligence models to predict acute phytotoxicity in petroleum contaminated soils D Shadrin, M Pukalchik, E Kovaleva, M Fedorov Ecotoxicology and Environmental Safety 194, 110410, 2020 | 21 | 2020 |
| Object-based augmentation for building semantic segmentation: Ventura and santa rosa case study S Illarionova, S Nesteruk, D Shadrin, V Ignatiev, M Pukalchik, I Oseledets Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 19 | 2021 |
| Estimation of the canopy height model from multispectral satellite imagery with convolutional neural networks S Illarionova, D Shadrin, V Ignatiev, S Shayakhmetov, A Trekin, ... IEEE Access 10, 34116-34132, 2022 | 18 | 2022 |
| Pervasive agriculture: Measuring and predicting plant growth using statistics and 2D/3D imaging D Shadrin, A Somov, T Podladchikova, R Gerzer 2018 IEEE International Instrumentation and Measurement Technology …, 2018 | 18 | 2018 |
| A survey of computer vision techniques for forest characterization and carbon monitoring tasks S Illarionova, D Shadrin, P Tregubova, V Ignatiev, A Efimov, I Oseledets, ... Remote Sensing 14 (22), 5861, 2022 | 17 | 2022 |
| Xtremeaugment: Getting more from your data through combination of image collection and image augmentation S Nesteruk, S Illarionova, T Akhtyamov, D Shadrin, A Somov, M Pukalchik, ... IEEE Access 10, 24010-24028, 2022 | 16 | 2022 |
| Generation of the nir spectral band for satellite images with convolutional neural networks S Illarionova, D Shadrin, A Trekin, V Ignatiev, I Oseledets Sensors 21 (16), 5646, 2021 | 16 | 2021 |
| Augmentation-based methodology for enhancement of trees map detalization on a large scale S Illarionova, D Shadrin, V Ignatiev, S Shayakhmetov, A Trekin, ... Remote Sensing 14 (9), 2281, 2022 | 14 | 2022 |
| Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples N Stasenko, E Chernova, D Shadrin, G Ovchinnikov, I Krivolapov, ... 2021 IEEE International Instrumentation and Measurement Technology …, 2021 | 14 | 2021 |
| Image augmentation for multitask few-shot learning: Agricultural domain use-case S Nesteruk, D Shadrin, M Pukalchik arXiv preprint arXiv:2102.12295, 2021 | 14 | 2021 |
| Machine learning methods for estimation the indicators of phosphogypsum influence in soil MA Pukalchik, AM Katrutsa, D Shadrin, VA Terekhova, IV Oseledets Journal of Soils and Sediments 19, 2265-2276, 2019 | 14 | 2019 |
| Plant growth prediction through intelligent embedded sensing S Nesteruk, D Shadrin, V Kovalenko, A Rodríguez-Sanchez, A Somov 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), 411-416, 2020 | 13 | 2020 |
