Predicting Crop Yields in the Southern Regions of Russia with Artificial Intelligence Tools | Shaitura | Digital Solutions and Artificial Intelligence Technologies

Digital Solutions and Artificial Intelligence Technologies
Cifrovye resheniya i tekhnologii iskusstvennogo intellekta

ISSN 3033-7097 (Online)

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Digital Solutions and Artificial Intelligence Technologies

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Shaitura S.V., Semichevskaya N.P., Shaitura N.S. Predicting Crop Yields in the Southern Regions of Russia with Artificial Intelligence Tools. Digital Solutions and Artificial Intelligence Technologies. 2025;1(4):76-85. (In Russ.) https://doi.org/10.26794/3033-7097-2025-1-4-76-85

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ISSN 3033-7097 (Online)

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About the Authors

S. V. Shaitura
Leonov University of Technology
Россия

Sergey V. Shaitura — Cand. Sci. (Tech.), Assoc. Prof. of the Department of Information Technologies and Control System

Korolev, Moscow Region

N. P. Semichevskaya
K.G. Razumovsky Moscow State University of Technologies and Management
Россия

Nataliya P. Semichevskaya — Cand. Sci. (Tech.), Assoc. Prof., Assoc. Prof. of the Department of Information Systems and Digital Technologies

Moscow

N. S. Shaitura
Russian State Agrarian University — Moscow Timiryazev Agricultural Academy
Россия

Nataliya S. Shaitura — Cand. Sci. (Phys.-Math.), Senior Lecturer of the Higher Mathematics Department

Moscow

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