Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56030
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dc.contributor.authorRahman, M Men
dc.contributor.authorRoy, A Pen
dc.contributor.authorRabbani, M Aen
dc.contributor.authorMandal, A Ken
dc.date.accessioned2023-09-13T01:26:55Z-
dc.date.available2023-09-13T01:26:55Z-
dc.date.issued2005-07-20-
dc.identifier.citationInternational Journal of Engineering and Technology, 2(1), p. 15-21en
dc.identifier.issn2308-4707en
dc.identifier.issn1812-7711en
dc.identifier.urihttps://hdl.handle.net/1959.11/56030-
dc.description.abstract<p>Computer software based on different operations of production such as land preparation, tillage (P.T/Tractor) operation, sowing, transplanting, weeding, fertilizer application, threshing, cleaning etc. was developed for the selection of optimum cropping pattern for maximum return (SOCPMR). The program was designed in order to optimize the cropping pattern from different cropping patterns. A study had been under taken to address the issue of labour cost, material cost and cost of products and byproducts to individual cropping pattern. Optimum cropping pattern was considered with regard to cost of productions among the seven different patterns. Maximum profit was achieved from pattern no. six and that pattern was T.aman-Boro-BARIpea-2.</p>en
dc.languageenen
dc.publisherG - Science Implementation & Publicationen
dc.relation.ispartofInternational Journal of Engineering and Technologyen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleSelection of optimum cropping pattern for maximum return through computer programmingen
dc.typeJournal Articleen
dc.identifier.doi10.5281/zenodo.1008827en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameM Men
local.contributor.firstnameA Pen
local.contributor.firstnameM Aen
local.contributor.firstnameA Ken
local.profile.schoolSchool of Science and Technologyen
local.profile.emailmrahma37@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeBangladeshen
local.format.startpage15en
local.format.endpage21en
local.peerreviewedYesen
local.identifier.volume2en
local.identifier.issue1en
local.access.fulltextYesen
local.contributor.lastnameRahmanen
local.contributor.lastnameRoyen
local.contributor.lastnameRabbanien
local.contributor.lastnameMandalen
dc.identifier.staffune-id:mrahma37en
local.profile.orcid0000-0001-6430-0588en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/56030en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleSelection of optimum cropping pattern for maximum return through computer programmingen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorRahman, M Men
local.search.authorRoy, A Pen
local.search.authorRabbani, M Aen
local.search.authorMandal, A Ken
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/876a5bd1-f436-4820-987c-f18dd7437679en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2005-
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/876a5bd1-f436-4820-987c-f18dd7437679en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/876a5bd1-f436-4820-987c-f18dd7437679en
local.subject.for2020300207 Agricultural systems analysis and modellingen
local.subject.for2020300205 Agricultural production systems simulationen
local.subject.for2020300202 Agricultural land managementen
local.subject.seo2020140106 Landen
local.subject.seo2020220202 Management of water consumption by information and communication servicesen
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
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School of Science and Technology
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