Dmitrii Shadrin
Dmitrii Shadrin
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Cited by
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
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
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
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
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
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
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
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
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 (5), 2265-2276, 2019
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
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
Image augmentation for multitask few-shot learning: Agricultural domain use-case
S Nesteruk, D Shadrin, M Pukalchik
arXiv preprint arXiv:2102.12295, 2021
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
Plant growth prediction through intelligent embedded sensing
S Nesteruk, D Shadrin, V Kovalenko, A Rodríguez-Sánchez, A Somov
2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), 411-416, 2020
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
System identification-soilless growth of tomatoes
D Shadrin, A Chashchin, G Ovchinnikov, A Somov
2019 IEEE International Instrumentation and Measurement Technology …, 2019
Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions.
DG Shadrin, V Kulikov, MV Fedorov
BMVC, 329, 2018
Object-based augmentation improves quality of remote sensingsemantic segmentation
S Illarionova, S Nesteruk, D Shadrin, V Ignatiev, M Pukalchik, I Oseledets
arXiv preprint arXiv:2105.05516, 2021
Optimization of Water Quality Monitoring Networks Using Metaheuristic Approaches: Moscow Region Use Case
E Yudina, A Petrovskaia, D Shadrin, P Tregubova, E Chernova, ...
Water 13 (7), 888, 2021
Hyper-spectral NIR and MIR data and optimal wavebands for detection of apple tree diseases
D Shadrin, M Pukalchik, A Uryasheva, E Tsykunov, G Yashin, ...
arXiv preprint arXiv:2004.02325, 2020
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