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)

Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing. - Mikhail Gasanov; Anna Petrovskaia; Artyom Nikitin; Sergey A. Matveev; Polina Tregubova; Maria Pukalchik; Ivan V. Oseledets (ICCS (7), 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)

Bayesian aggregation improves traditional single image crop classification approaches. - Ivan Matvienko; Mikhail Gasanov; Anna Petrovskaia; Raghavendra Belur Jana; Maria Pukalchik; Ivan V. Oseledets (CoRR, 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)

A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History. - Mikhail Gasanov; Daniil Merkulov; Artyom Nikitin; Sergey A. Matveev; Nikita Stasenko; Anna Petrovskaia; Mariia Pukalchik; Ivan V. Oseledets (ICCS (4), 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)

Deep Learning for Postharvest Decay Prediction in Apples. - Nikita Stasenko; Maxim Savinov; Valeriy Burlutskiy; Maria Pukalchik; Andrey Somov (IECON, 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)

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)

Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches. - Ivan Matvienko; Mikhail Gasanov; Anna Petrovskaia; Maxim A. Kuznetsov; Raghavendra B. Jana; Maria Pukalchik; Ivan V. Oseledets (Sensors, 2022)