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)

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)

Deep Learning for Postharvest Decay Prediction in Apples. - Nikita Stasenko; Maxim Savinov; Valeriy Burlutskiy; Maria Pukalchik; Andrey Somov (IECON, 2021)

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)

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)