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  • 标题:Energy assessment and optimization of programmed agricultural production using retrospective data
  • 本地全文:下载
  • 作者:Aleksey Rogachev ; Elena Melikhova
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2019
  • 卷号:135
  • 页码:1-8
  • DOI:10.1051/e3sconf/201913501042
  • 出版社:EDP Sciences
  • 摘要: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.
  • 其他摘要: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.
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