Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions. - Dmitrii G. Shadrin; Victor Kulikov; Maxim V. Fedorov (BMVC, 2018)

Pervasive agriculture: Measuring and predicting plant growth using statistics and 2D/3D imaging. - Dmitrii G. Shadrin; Andrey Somov; Tatiana Podladchikova; Rupert Gerzer (I2MTC, 2018)

Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. - Andrey Somov; Dmitrii G. Shadrin; Ilia Fastovets; Artyom Nikitin; Sergey A. Matveev; Ivan V. Oseledets; Oleksii Hrinchuk (IEEE Pervasive Comput., 2018)

System Identification - Soilless Growth of Tomatoes. - Dmitrii G. Shadrin; Artem V. Chashchin; Grigory V. Ovchinnikov; Andrey Somov (I2MTC, 2019)

Kalman Filtering for Accurate and Fast Plant Growth Dynamics Assessment. - Dmitrii Shadrin; Tatiana Podladchikova; Grigory V. Ovchinnikov; Artem L. Pavlov; Mariia Pukalchik; Andrey Somov (I2MTC, 2020)

Plant Growth Prediction through Intelligent Embedded Sensing. - Sergey Nesteruk; Dmitrii Shadrin; Vladislav Kovalenko; Antonio Jose Rodríguez-Sánchez; Andrey Somov (ISIE, 2020)

Hyper-spectral NIR and MIR data and optimal wavebands for detecting of apple tree diseases. - Dmitrii Shadrin; Mariia Pukalchik; Anastasia Uryasheva; Evgeny V. Tsykunov; Grigoriy A. Yashin; Nikita Rodichenko; Dzmitry Tsetserukou (CoRR, 2020)

Enabling Precision Agriculture Through Embedded Sensing With Artificial Intelligence. - Dmitrii G. Shadrin; Alexander Menshchikov; Andrey Somov; Gerhild Bornemann; Jens Hauslage; Maxim V. Fedorov (IEEE Trans. Instrum. Meas., 2020)

Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples. - Nikita Stasenko; Elizaveta Chernova; Dmitrii Shadrin; Grigory V. Ovchinnikov; Ivan Krivolapov; Mariia Pukalchik (I2MTC, 2021)

Deep learning techniques for enhancement of weeds growth classification. - Dmitrii Vypirailenko; Elizaveta Kiseleva; Dmitrii Shadrin; Mariia Pukalchik (I2MTC, 2021)

Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study. - Svetlana Illarionova; Sergey Nesteruk; Dmitrii Shadrin; Vladimir Ignatiev; Mariia Pukalchik; Ivan V. Oseledets (ICCVW, 2021)

Improving of Action Localization in Videos Using the Novel Feature Extraction. - Galina Burdukovskaya; Grigory V. Ovchinnikov; Maxim V. Fedorov; Dmitrii Shadrin (ISIE, 2021)

Apple Trees Diseases Detection Through Computer Vision in Embedded Systems. - Denis Logashov; Dmitrii Shadrin; Andrey Somov; Mariia Pukalchik; Anastasia Uryasheva; Hari Prabhat Gupta; Nikita Rodichenko (ISIE, 2021)

Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case. - Sergey Nesteruk; Dmitrii Shadrin; Mariia Pukalchik (CoRR, 2021)

Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation. - Svetlana Illarionova; Sergey Nesteruk; Dmitrii Shadrin; Vladimir Ignatiev; Mariia Pukalchik; Ivan V. Oseledets (CoRR, 2021)

MixChannel: Advanced Augmentation for Multispectral Satellite Images. - Svetlana Illarionova; Sergey Nesteruk; Dmitrii Shadrin; Vladimir Ignatiev; Maria Pukalchik; Ivan V. Oseledets (Remote. Sens., 2021)

Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks. - Svetlana Illarionova; Dmitrii Shadrin; Alexey Trekin; Vladimir Ignatiev; Ivan V. Oseledets (Sensors, 2021)

Real-Time Detection of Hogweed: UAV Platform Empowered by Deep Learning. - Alexander Menshchikov; Dmitrii Shadrin; Viktor Prutyanov; Daniil Lopatkin; Sergey Sosnin; Evgeny V. Tsykunov; Evgeny Iakovlev; Andrey Somov (IEEE Trans. Computers, 2021)

Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks. - Svetlana Illarionova; Dmitrii Shadrin; Vladimir Ignatiev; Sergey Shayakhmetov; Alexey Trekin; Ivan V. Oseledets (IEEE Access, 2022)

XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation. - Sergey Nesteruk; Svetlana Illarionova; Timur Akhtyamov; Dmitrii Shadrin; Andrey Somov; Mariia Pukalchik; Ivan V. Oseledets (IEEE Access, 2022)

Computer vision-based platform for apple leaves segmentation in field conditions to support digital phenotyping. - Anastasia Uryasheva; Aleksandra Kalashnikova; Dmitrii Shadrin; Ksenia Evteeva; Evgeny Moskovtsev; Nikita Rodichenko (Comput. Electron. Agric., 2022)

Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale. - Svetlana Illarionova; Dmitrii Shadrin; Vladimir Ignatiev; Sergey Shayakhmetov; Alexey Trekin; Ivan V. Oseledets (Remote. Sens., 2022)

A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. - Svetlana Illarionova; Dmitrii Shadrin; Polina Tregubova; Vladimir Ignatiev; Albert Efimov; Ivan V. Oseledets; Evgeny Burnaev (Remote. Sens., 2022)

Apple Tree Health Recognition Through the Application of Transfer Learning for UAV Imagery. - Liubov Dolgaia; Svetlana Illarionova; Sergey Nesteruk; Ivan Krivolapov; Anna Baldycheva; Andrey Somov; Dmitrii Shadrin (ETFA, 2023)

Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels. - Islombek Mirpulatov; Svetlana Illarionova; Dmitrii Shadrin; Evgeny Burnaev (IEEE Access, 2023)

Dynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples. - Nikita Stasenko; Dmitrii Shadrin; Alexandr Katrutsa; Andrey Somov (IEEE Trans. Instrum. Meas., 2023)

Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. - Svetlana Illarionova; Dmitrii Shadrin; Islomjon Shukhratov; Ksenia Evteeva; Georgii Popandopulo; Nazar Sotiriadi; Ivan V. Oseledets; Evgeny Burnaev (Remote. Sens., 2023)

Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples. - Nikita Stasenko; Islomjon Shukhratov; Maxim Savinov; Dmitrii Shadrin; Andrey Somov (Entropy, 2023)

Flood Extent and Volume Estimation Using Remote Sensing Data. - Georgii Popandopulo; Svetlana Illarionova; Dmitrii Shadrin; Ksenia Evteeva; Nazar Sotiriadi; Evgeny Burnaev (Remote. Sens., 2023)

Multitask Learning for Estimating Primary Forest Characteristics Using Sentinel-2 Data. - Elisey Plotnikov; Konstantin Rudkevich; Svetlana Illarionova; Polina Tregubova; Dmitrii Shadrin; Evgeny Burnaev (I2MTC, 2025)

Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions. - Andrey Makarov; Islombek Mirpulatov; Nikita Firsov; Valeriy Lobanov; Svetlana Illarionova; Vladimir Podlipnov; Yuliya D. Vybornova; Dmitrii Shadrin; Andrey Rastorguev; Roman V. Skidanov; Evgeny Burnaev; Artem V. Nikonorov (IEEE Access, 2025)

Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos. - Yuliya D. Vybornova; Maxim Aleshin; Svetlana Illarionova; Ilya Novikov; Dmitrii Shadrin; Artem V. Nikonorov; Evgeny Burnaev (IEEE Access, 2025)