dmitryshadrin

Dmitry Shadrin

 

Graduated from:

Moscow Institute of Physics and Technology (Master)

Research interests:

Machine Learning, Plant phenotype, Artificial Soilless systems, sensors, System dynamics prediction

Thesis title: 

Mathematical modeling and optimization of plant growth dynamics in closed artificial controlled systems

Academic mobility: 

Conducted experiment on optimization of plant growth dynamics in artificial systems in the Institute of Aerospace Medicine (DLR – German Aerospace Agency) 15.02.18 – 15.04.18 https://www.dlr.de/me/en/desktopdefault.aspx/tabid-1769/

Publications:

1. “Pervasive agriculture: Measuring and predicting plant growth using statistics and 2D/3D imaging” Dmitrii Shadrin, Andrey Somov, Tatiana Podladchikova, Rupert Gerzer Proceedings of IEEE I2MTC 2018 conference; DOI: 10.1109/I2MTC.2018.8409700;

2. “Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions” Dmitrii Shadrin, Viktor Kulikov, Maxim Fedorov Proceedings of BMVC 2018 (CVPPP at British Machine Vision Conference)

3. “Pervasive Agriculture: IoT Enabled Greenhouse for Plant Growth Control” Andrey Somov, Dmitry Shadrin, Ilia Fastovets, Artyom Nikitin, Sergey Matveev, Oleksii Hrinchuk, Ivan Oseledets “IEEE Pervasive Computing” journal 2018; (Q2), IF = 3 DOI: 10.1109/MPRV.2018.2873849

4. “Глобальные тренды и перспективные направления развития в точном земледелии и сельском хозяйстве” М.А. Пукальчик, Д.Г. Шадрин, М.В. Федоров; АПК России 2018

Full papers published in 2019:

5. “Machine learning methods for estimation the indicators of phosphogypsum influence in soil” Pukalchik, Maria A and Katrutsa, Alexandr M and Shadrin, Dmitry and Terekhova, Vera A and Oseledets, Ivan V, “Journal of Soils and Sediments”, Springer, 2019 (Q1) IF=2.7 DOI: 10.1007/s11368-019-02253-2

6. ” Designing and Implementing Future Precision Agriculture: Detection of Seeds Germination Using Embedded Artificial Intelligence” Dmitrii Shadrin, Alexandr Menshikov, Dmitrii Ermilov, Andrey Somov IEEE Sensors journal, 2019 (Q1) IF=3 DOI: 10.1109/JSEN.2019.2935812

7. “Enabling Precision Agriculture through embedded Sensing with Artificial Intelligence” Dmitrii Shadrin, Alexander Menshchikov, Andrey Somov, Gerhild Bornemann, Jens Hauslage, Maxim Fedorov IEEE Transactions on Instrumentation and Measurements journal (Minor revision) (Q1) IF=2.7 10.1109/TIM.2019.2947125

8. “Bayesian Optimization for Seed Germination” Artyom Nikitin, Ilia Fastovets, Dmitrii Shadrin, Mariia Pukalchik and Ivan Oseledets. Plant Methods, 2019 (Q1) IF=3.2 DOI: 10.1186/s13007-019-0422-z

9. “System Identification – Soilless Growth of Tomatoes” Dmitrii Shadrin, Artem Chashchin, George Ovchinnikov, Andrey Somov (Published, IEEE I2MTC 2019 conference proceedings) 10.1109/I2MTC.2019.8826903

10. Submitted paper: “Prediction of the crude oil phytotoxicity through artificial intelligence techniques” DmitriI Shadrin, Mariia Pukalchik, Ekaterina Kovaleva, Maxim Fedorov. Ecotoxicology and Environmental Safety, (Submitted) (Q1) IF=4.5

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