E3S Web Conf.
Volume 135, 2019Innovative Technologies in Environmental Science and Education (ITESE-2019)
|Number of page(s)||8|
|Published online||04 December 2019|
Energy assessment and optimization of programmed agricultural production using retrospective data
Volgograd State Agrarian University, Department of Mathematical Modeling and Informatics, 400075, 26. Universitetsky Ave., Volgograd, Russian Federation
2 Volgograd State Technical University, Department of Information Systems in Economics, 400131, 28, Lenin Avenue, Volgograd, Russian Federation
* Corresponding author: email@example.com
Theoretical approaches and software implementation of obtaining energy assessment of programmed agricultural production based on the optimization of the parameters of the technologies used are considered. Evaluation of productivity obtained using long-term retrospective data. A linear optimization mathematical model is constructed to justify the parameters of plant growing in a model economy with several fields and crops. Based on the agro-energy assessment of the elements of the technologies used, recommendations are obtained for the optimal distribution of limiting resources according to the specific energy effect criterion, taking into account restrictions on the example of a combination of different irrigation technologies.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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