{"id":"https://openalex.org/W4403674115","doi":"https://doi.org/10.15439/2024f9318","title":"Stacking Ensemble Machine Learning Modelling for Milk Yield Prediction Based on Biological Characteristics and Feeding Strategies","display_name":"Stacking Ensemble Machine Learning Modelling for Milk Yield Prediction Based on Biological Characteristics and Feeding Strategies","publication_year":2024,"publication_date":"2024-10-23","ids":{"openalex":"https://openalex.org/W4403674115","doi":"https://doi.org/10.15439/2024f9318"},"language":"en","primary_location":{"id":"doi:10.15439/2024f9318","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2024f9318","pdf_url":"https://annals-csis.org/Volume_39/drp/pdf/9318.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/Volume_39/drp/pdf/9318.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087119845","display_name":"Ruiming Xing","orcid":"https://orcid.org/0009-0000-5358-5186"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ruiming Xing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072835010","display_name":"Baihua Li","orcid":"https://orcid.org/0000-0002-4930-7690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baihua Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091517700","display_name":"Shirin Dora","orcid":"https://orcid.org/0000-0001-6182-4124"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shirin Dora","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017902199","display_name":"Michael R. Whittaker","orcid":"https://orcid.org/0000-0001-5706-3932"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Whittaker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114371486","display_name":"Janette Mathie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Janette Mathie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087119845"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.5745,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"39","issue":null,"first_page":"701","last_page":"706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12365","display_name":"Effects of Environmental Stressors on Livestock","score":0.8416000008583069,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12365","display_name":"Effects of Environmental Stressors on Livestock","score":0.8416000008583069,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.8342000246047974,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.7534887790679932},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.6529285311698914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109515428543091},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5273723602294922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5132448673248291},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4987013339996338},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.14835575222969055},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1417178213596344}],"concepts":[{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.7534887790679932},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.6529285311698914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109515428543091},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5273723602294922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5132448673248291},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4987013339996338},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14835575222969055},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1417178213596344},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.15439/2024f9318","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2024f9318","pdf_url":"https://annals-csis.org/Volume_39/drp/pdf/9318.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:96d0a29f240c44769ff1c0881ba34695","is_oa":false,"landing_page_url":"https://doaj.org/article/96d0a29f240c44769ff1c0881ba34695","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 39, Pp 701-706 (2024)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/26893684","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.15439/2024f9318","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2024f9318","pdf_url":"https://annals-csis.org/Volume_39/drp/pdf/9318.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G4432093233","display_name":"Self-Learning Digital Twins for Sustainable Land Management","funder_award_id":"EP/Y00597X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320338078","display_name":"National Bioscience Database Center","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403674115.pdf","grobid_xml":"https://content.openalex.org/works/W4403674115.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Knowing":[0],"expected":[1],"milk":[2,27,54,87,154,175],"yield":[3,28,55,155,176],"can":[4],"help":[5],"dairy":[6],"farmers":[7],"in":[8,173],"better":[9],"decision-making":[10],"and":[11,20,37,82,111,141,160,170],"management.The":[12],"objective":[13],"of":[14,53,95,132,139,144,153],"this":[15],"study":[16],"was":[17,35],"to":[18,24,68,76,109,119],"build":[19],"compare":[21],"predictive":[22,96],"models":[23,40,97],"forecast":[25],"daily":[26],"over":[29],"a":[30,44,112,134],"long":[31],"duration.A":[32],"machine-learning":[33],"pipeline":[34],"provided":[36],"five":[38],"baseline":[39],"as":[41,43,165],"well":[42],"novel":[45],"stacking":[46,121],"model":[47,122],"were":[48,74],"developed":[49],"for":[50,150],"the":[51,57,78,92,124,151,157],"prediction":[52,152],"on":[56,156],"CowNflow":[58,158],"dataset":[59,159],"using":[60],"414":[61],"Holstein":[62],"cattle":[63],"records":[64],"collected":[65],"from":[66],"1983":[67],"2019.Four":[69],"different":[70],"feature":[71,101],"selection":[72],"methods":[73],"performed":[75],"evaluate":[77],"essential":[79],"biological":[80],"characteristics":[81],"feeding-related":[83],"features":[84],"which":[85],"affect":[86],"yield.The":[88],"results":[89],"showed":[90],"that":[91],"overall":[93],"performance":[94,126],"improved":[98],"after":[99],"proper":[100],"selection,":[102],"with":[103,127],"an":[104,128,142],"R":[105,129],"2":[106,130],"value":[107,131],"increased":[108],"0.811,":[110],"root":[113],"mean":[114,135],"squared":[115],"error":[116,137],"(RMSE)":[117],"decreased":[118],"3.627.The":[120],"achieved":[123],"best":[125],"0.85,":[133],"absolute":[136],"(MAE)":[138],"2.537":[140],"RMSE":[143],"3.236.This":[145],"research":[146],"provides":[147],"benchmark":[148],"information":[149],"identifies":[161],"useful":[162],"factors":[163],"such":[164],"dry":[166],"matter":[167],"(DM)":[168],"intake":[169],"lactation":[171],"month":[172],"long-term":[174],"prediction.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
