Sustainable Agriculture Through Multi-Objective Decision Making: A Goal Programming Approach Article Swipe
P. Raics
,
Dr.Uttamkumar YV
,
Prashant Kumar
,
Prof.Champa T
,
Dr.V. Silambarasan
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.64252/e7d36y91
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.64252/e7d36y91
Sustainable agriculture has become a priority in the whole world due to the growing demand of food and the need to maintain the available natural resources. Contemporary agriculture has to recon opposite goals of a farm business, namely, to achieve the highest possible crop productivity; to ensure the lowest possible cost of inputs; and to limit the environmental effects of resources consumption, specifically, water and fertilizers. The proposed study aims at developing a goal programming (GP) model to optimize these conflicting objectives under a sustainable agricultural system. In the model proposed, four main objectives are included, which are to minimize water consumption, fertilizer amount, maximize the crop yield, and finally minimize the overall cost of production. The model determines the most appropriate input combinations that give balance between productivity and sustainability by assigning priorities and weights to each goal. The model can be tested with real or simulated farm-level data, which shows that it can help to make data-driven decisions when planning agricultural activities. The findings indicate that goal programming is a viable instrument that can be applied to manage trade-offs in sustainable agriculture to provide farmers, agronomists, and policymakers with realistic information that can be applied to improve food security without compromising environmental resources.
Related Topics
Concepts
No concepts available.
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.64252/e7d36y91
- https://theaspd.com/index.php/ijes/article/download/10162/7280
- OA Status
- hybrid
- OpenAlex ID
- https://openalex.org/W4414624575
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4414624575Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.64252/e7d36y91Digital Object Identifier
- Title
-
Sustainable Agriculture Through Multi-Objective Decision Making: A Goal Programming ApproachWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-09-23Full publication date if available
- Authors
-
P. Raics, Dr.Uttamkumar YV, Prashant Kumar, Prof.Champa T, Dr.V. SilambarasanList of authors in order
- Landing page
-
https://doi.org/10.64252/e7d36y91Publisher landing page
- PDF URL
-
https://theaspd.com/index.php/ijes/article/download/10162/7280Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://theaspd.com/index.php/ijes/article/download/10162/7280Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W4414624575 |
|---|---|
| doi | https://doi.org/10.64252/e7d36y91 |
| ids.doi | https://doi.org/10.64252/e7d36y91 |
| ids.openalex | https://openalex.org/W4414624575 |
| fwci | 0.0 |
| type | article |
| title | Sustainable Agriculture Through Multi-Objective Decision Making: A Goal Programming Approach |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 1028 |
| biblio.first_page | 1018 |
| topics[0].id | https://openalex.org/T12709 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9916999936103821 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2207 |
| topics[0].subfield.display_name | Control and Systems Engineering |
| topics[0].display_name | Optimization and Mathematical Programming |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| language | en |
| locations[0].id | doi:10.64252/e7d36y91 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S5406984696 |
| locations[0].source.issn | 2229-7359 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 2229-7359 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | International Journal of Environmental Sciences |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://theaspd.com/index.php/ijes/article/download/10162/7280 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | International Journal of Environmental Sciences |
| locations[0].landing_page_url | https://doi.org/10.64252/e7d36y91 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5107968576 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-3803-8923 |
| authorships[0].author.display_name | P. Raics |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Dr.Jyothi. P |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5119498546 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Dr.Uttamkumar YV |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Dr.Uttamkumar YV |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5100609399 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-2462-4411 |
| authorships[2].author.display_name | Prashant Kumar |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Prof. Shivaraj Kumar |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5119769323 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Prof.Champa T |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Prof.Champa T |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5119769324 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Dr.V. Silambarasan |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Dr.V. Silambarasan |
| authorships[4].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://theaspd.com/index.php/ijes/article/download/10162/7280 |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Sustainable Agriculture Through Multi-Objective Decision Making: A Goal Programming Approach |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12709 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9916999936103821 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2207 |
| primary_topic.subfield.display_name | Control and Systems Engineering |
| primary_topic.display_name | Optimization and Mathematical Programming |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.64252/e7d36y91 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S5406984696 |
| best_oa_location.source.issn | 2229-7359 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 2229-7359 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | International Journal of Environmental Sciences |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://theaspd.com/index.php/ijes/article/download/10162/7280 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | International Journal of Environmental Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.64252/e7d36y91 |
| primary_location.id | doi:10.64252/e7d36y91 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S5406984696 |
| primary_location.source.issn | 2229-7359 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 2229-7359 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | International Journal of Environmental Sciences |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://theaspd.com/index.php/ijes/article/download/10162/7280 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | International Journal of Environmental Sciences |
| primary_location.landing_page_url | https://doi.org/10.64252/e7d36y91 |
| publication_date | 2025-09-23 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 4, 34, 72, 83, 171 |
| abstract_inverted_index.In | 87 |
| abstract_inverted_index.at | 70 |
| abstract_inverted_index.be | 142, 176, 195 |
| abstract_inverted_index.by | 131 |
| abstract_inverted_index.in | 6, 181 |
| abstract_inverted_index.is | 170 |
| abstract_inverted_index.it | 153 |
| abstract_inverted_index.of | 15, 33, 51, 59, 114 |
| abstract_inverted_index.or | 146 |
| abstract_inverted_index.to | 11, 20, 29, 38, 45, 54, 77, 98, 136, 156, 178, 184, 197 |
| abstract_inverted_index.The | 66, 116, 139, 164 |
| abstract_inverted_index.and | 17, 53, 64, 108, 129, 134, 188 |
| abstract_inverted_index.are | 94, 97 |
| abstract_inverted_index.can | 141, 154, 175, 194 |
| abstract_inverted_index.due | 10 |
| abstract_inverted_index.has | 2, 28 |
| abstract_inverted_index.the | 7, 12, 18, 22, 40, 47, 56, 88, 105, 111, 119 |
| abstract_inverted_index.(GP) | 75 |
| abstract_inverted_index.aims | 69 |
| abstract_inverted_index.cost | 50, 113 |
| abstract_inverted_index.crop | 43, 106 |
| abstract_inverted_index.each | 137 |
| abstract_inverted_index.farm | 35 |
| abstract_inverted_index.food | 16, 199 |
| abstract_inverted_index.four | 91 |
| abstract_inverted_index.give | 125 |
| abstract_inverted_index.goal | 73, 168 |
| abstract_inverted_index.help | 155 |
| abstract_inverted_index.main | 92 |
| abstract_inverted_index.make | 157 |
| abstract_inverted_index.most | 120 |
| abstract_inverted_index.need | 19 |
| abstract_inverted_index.real | 145 |
| abstract_inverted_index.that | 124, 152, 167, 174, 193 |
| abstract_inverted_index.when | 160 |
| abstract_inverted_index.with | 144, 190 |
| abstract_inverted_index.data, | 149 |
| abstract_inverted_index.goal. | 138 |
| abstract_inverted_index.goals | 32 |
| abstract_inverted_index.input | 122 |
| abstract_inverted_index.limit | 55 |
| abstract_inverted_index.model | 76, 89, 117, 140 |
| abstract_inverted_index.recon | 30 |
| abstract_inverted_index.shows | 151 |
| abstract_inverted_index.study | 68 |
| abstract_inverted_index.these | 79 |
| abstract_inverted_index.under | 82 |
| abstract_inverted_index.water | 63, 100 |
| abstract_inverted_index.which | 96, 150 |
| abstract_inverted_index.whole | 8 |
| abstract_inverted_index.world | 9 |
| abstract_inverted_index.become | 3 |
| abstract_inverted_index.demand | 14 |
| abstract_inverted_index.ensure | 46 |
| abstract_inverted_index.lowest | 48 |
| abstract_inverted_index.manage | 179 |
| abstract_inverted_index.tested | 143 |
| abstract_inverted_index.viable | 172 |
| abstract_inverted_index.yield, | 107 |
| abstract_inverted_index.achieve | 39 |
| abstract_inverted_index.amount, | 103 |
| abstract_inverted_index.applied | 177, 196 |
| abstract_inverted_index.balance | 126 |
| abstract_inverted_index.between | 127 |
| abstract_inverted_index.effects | 58 |
| abstract_inverted_index.finally | 109 |
| abstract_inverted_index.growing | 13 |
| abstract_inverted_index.highest | 41 |
| abstract_inverted_index.improve | 198 |
| abstract_inverted_index.inputs; | 52 |
| abstract_inverted_index.namely, | 37 |
| abstract_inverted_index.natural | 24 |
| abstract_inverted_index.overall | 112 |
| abstract_inverted_index.provide | 185 |
| abstract_inverted_index.system. | 86 |
| abstract_inverted_index.weights | 135 |
| abstract_inverted_index.without | 201 |
| abstract_inverted_index.farmers, | 186 |
| abstract_inverted_index.findings | 165 |
| abstract_inverted_index.indicate | 166 |
| abstract_inverted_index.maintain | 21 |
| abstract_inverted_index.maximize | 104 |
| abstract_inverted_index.minimize | 99, 110 |
| abstract_inverted_index.opposite | 31 |
| abstract_inverted_index.optimize | 78 |
| abstract_inverted_index.planning | 161 |
| abstract_inverted_index.possible | 42, 49 |
| abstract_inverted_index.priority | 5 |
| abstract_inverted_index.proposed | 67 |
| abstract_inverted_index.security | 200 |
| abstract_inverted_index.assigning | 132 |
| abstract_inverted_index.available | 23 |
| abstract_inverted_index.business, | 36 |
| abstract_inverted_index.decisions | 159 |
| abstract_inverted_index.included, | 95 |
| abstract_inverted_index.proposed, | 90 |
| abstract_inverted_index.realistic | 191 |
| abstract_inverted_index.resources | 60 |
| abstract_inverted_index.simulated | 147 |
| abstract_inverted_index.determines | 118 |
| abstract_inverted_index.developing | 71 |
| abstract_inverted_index.farm-level | 148 |
| abstract_inverted_index.fertilizer | 102 |
| abstract_inverted_index.instrument | 173 |
| abstract_inverted_index.objectives | 81, 93 |
| abstract_inverted_index.priorities | 133 |
| abstract_inverted_index.resources. | 25, 204 |
| abstract_inverted_index.trade-offs | 180 |
| abstract_inverted_index.Sustainable | 0 |
| abstract_inverted_index.activities. | 163 |
| abstract_inverted_index.agriculture | 1, 27, 183 |
| abstract_inverted_index.appropriate | 121 |
| abstract_inverted_index.conflicting | 80 |
| abstract_inverted_index.data-driven | 158 |
| abstract_inverted_index.information | 192 |
| abstract_inverted_index.production. | 115 |
| abstract_inverted_index.programming | 74, 169 |
| abstract_inverted_index.sustainable | 84, 182 |
| abstract_inverted_index.Contemporary | 26 |
| abstract_inverted_index.agricultural | 85, 162 |
| abstract_inverted_index.agronomists, | 187 |
| abstract_inverted_index.combinations | 123 |
| abstract_inverted_index.compromising | 202 |
| abstract_inverted_index.consumption, | 61, 101 |
| abstract_inverted_index.fertilizers. | 65 |
| abstract_inverted_index.policymakers | 189 |
| abstract_inverted_index.productivity | 128 |
| abstract_inverted_index.environmental | 57, 203 |
| abstract_inverted_index.productivity; | 44 |
| abstract_inverted_index.specifically, | 62 |
| abstract_inverted_index.sustainability | 130 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.57966445 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |