Energy assessment and optimization of programmed agricultural production using retrospective data
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 m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/61/e3sconf_itese18_01042.pdf |
| _version_ | 1818338579859898368 |
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| author | Rogachev Aleksey Melikhova Elena |
| author_facet | Rogachev Aleksey Melikhova Elena |
| author_sort | Rogachev Aleksey |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T15:13:22Z |
| format | Article |
| id | doaj.art-159b7506b7854dbab985c21beba02ef2 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-13T15:13:22Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-159b7506b7854dbab985c21beba02ef22022-12-21T23:40:47ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011350104210.1051/e3sconf/201913501042e3sconf_itese18_01042Energy assessment and optimization of programmed agricultural production using retrospective dataRogachev AlekseyMelikhova Elena0Volgograd State Agrarian University, Department of Mathematical Modeling and InformaticsTheoretical 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/61/e3sconf_itese18_01042.pdf |
| spellingShingle | Rogachev Aleksey Melikhova Elena Energy assessment and optimization of programmed agricultural production using retrospective data E3S Web of Conferences |
| title | Energy assessment and optimization of programmed agricultural production using retrospective data |
| title_full | Energy assessment and optimization of programmed agricultural production using retrospective data |
| title_fullStr | Energy assessment and optimization of programmed agricultural production using retrospective data |
| title_full_unstemmed | Energy assessment and optimization of programmed agricultural production using retrospective data |
| title_short | Energy assessment and optimization of programmed agricultural production using retrospective data |
| title_sort | energy assessment and optimization of programmed agricultural production using retrospective data |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/61/e3sconf_itese18_01042.pdf |
| work_keys_str_mv | AT rogachevaleksey energyassessmentandoptimizationofprogrammedagriculturalproductionusingretrospectivedata AT melikhovaelena energyassessmentandoptimizationofprogrammedagriculturalproductionusingretrospectivedata |