Issue |
E3S Web Conf.
Volume 244, 2021
XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
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Article Number | 03027 | |
Number of page(s) | 14 | |
Section | Energy Efficiency Improvement | |
DOI | https://doi.org/10.1051/e3sconf/202124403027 | |
Published online | 19 March 2021 |
Optimization of the sown areas structure as a tool for the development of medicinal crop production on the basis of sustainability and regenerative agriculture
1 National University оf Life and Environmental Sciences оf Ukraine, Ukraine
2 Podilsky Special Education and Rehabilitation Socio-Economic College, Ukraine
* Corresponding author: mirzoeva2018@ukr.net
On the compliance with current requirements for the search for new alternative intensive models of agricultural production, the article has analyzed the structure of sown areas of farms in the Ukrainian Veld zone with an area of agricultural land up to 50 hectares; factors that indicate the need to optimize the structure of crops to meet the requirements of sustainable development and regenerative agriculture has been identified; the role of crop rotations in the system of modern agriculture has been revealed; the assumption that the tool of optimization of sown areas can be inclusion of medicinal plants in them has been put forward and substantiated; an optimization model has been built, with the help of which, based on production resources (land, labor, material, etc.), the optimal structure of sown areas of farms in the Ukrainian Steppe zone with an area of agricultural land up to 50 hectares has been determined; on the basis of the optimization economic-mathematical model with the help of the simplex method the increase of profitability of agricultural production has been calculated; the optimal structure of sown areas of the studied farms of the Ukrainian Veld zone with the introduction of medicinal plants has been developed.
© The Authors, published by EDP Sciences, 2021
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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