Skip to content 
DDC 630.2/086
H 22
Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering [[electronic resource].]. - [Б. м.] : Engineering Science Reference, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4823AEF7-054B-4245-967F-3B04EE9D43B7
. - ISBN 1799812189. - ISBN 9781799812180 (electronic bk.)
Содержание:
Obtaining and using of biogas in agricultural production / Sergey Devyanin, Russian State Agrarian University -Moscow Timiryazev Agricultural Academy, Russian Federation, Vladimir Markov, Moscow State Technical University named after N.E. Bauman, Russian Federation, Andrei Savastenko, Moscow State Technical University (MADI), Russian Federation -- Modern Methods of Optimization in Models of Hydrothermal Coordination and Emission of Contaminating Particles in Power Generating Plants / Gilberto Pérez-Lechuga, University Autonomous of the Hidalgo State, Mexico -- Theoretical Studies of the Influence of the Elastic-Damping Mechanism in the Tractor Transmission : On the Functioning of the Machine-Tractor Unit / Sergey Senkevich, Federal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", Russian Federation, Vladimir Kravchenko, FSBEI HE "Don State Agrarian University", Russian Federation, Pavel Lavrukhin, FSBEI HE "Don State Agrarian University", Russian Federation, Pavel Ivanov, FSBEI HE "Don State Agrarian University", Russian FederationAnna Senkevich, FSBEI HE "Don State Agrarian University", Russian Federation.
Рубрики: Electricity in agriculture--Data processing.
Renewable energy sources--Data processing.
Remote area power supply systems.
Artificial intelligence.
Artificial Intelligence
Électricité en agriculture--Informatique.
Énergies renouvelables--Informatique.
Réseaux électriques autonomes en régions éloignées.
Intelligence artificielle.
artificial intelligence.
Artificial intelligence.
Remote area power supply systems.
Renewable energy sources--Data processing.
Аннотация: "This book examines the benefits and barriers of implementing computational models to agricultural production and energy sources as well as how these models can produce more cost-effective and sustainable solutions"--