{"id":"https://openalex.org/W4394840308","doi":"https://doi.org/10.1145/3650215.3650333","title":"Technical Overview of Greenhouse Environment Parameters Forecast Research","display_name":"Technical Overview of Greenhouse Environment Parameters Forecast Research","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4394840308","doi":"https://doi.org/10.1145/3650215.3650333"},"language":"en","primary_location":{"id":"doi:10.1145/3650215.3650333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029119386","display_name":"Y. Jiang","orcid":"https://orcid.org/0009-0006-7401-4618"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingqi Jiang","raw_affiliation_strings":["Shenyang Ligong University, China"],"raw_orcid":"https://orcid.org/0009-0006-7401-4618","affiliations":[{"raw_affiliation_string":"Shenyang Ligong University, China","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073565396","display_name":"Yue Zhou","orcid":"https://orcid.org/0009-0008-9302-3223"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhou","raw_affiliation_strings":["Shenyang Ligong University, China"],"raw_orcid":"https://orcid.org/0009-0008-9302-3223","affiliations":[{"raw_affiliation_string":"Shenyang Ligong University, China","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077202161","display_name":"Xiuyuan Peng","orcid":"https://orcid.org/0000-0001-9383-1652"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyuan Peng","raw_affiliation_strings":["Information Research Institute of the Academy of Agricultural Sciences of Liaoning Province, Shenyang Ligong University, China"],"raw_orcid":"https://orcid.org/0000-0001-9383-1652","affiliations":[{"raw_affiliation_string":"Information Research Institute of the Academy of Agricultural Sciences of Liaoning Province, Shenyang Ligong University, China","institution_ids":["https://openalex.org/I116036724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116036724"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"671","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/greenhouse","display_name":"Greenhouse","score":0.6295017004013062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.517447292804718},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.45815765857696533},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3251703679561615},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09191450476646423}],"concepts":[{"id":"https://openalex.org/C32198211","wikidata":"https://www.wikidata.org/wiki/Q165044","display_name":"Greenhouse","level":2,"score":0.6295017004013062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.517447292804718},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.45815765857696533},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3251703679561615},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09191450476646423},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650215.3650333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W3026655997","https://openalex.org/W3049068507","https://openalex.org/W4311852925","https://openalex.org/W4319727505"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W234340964","https://openalex.org/W4309832218","https://openalex.org/W2166797008","https://openalex.org/W3039676608","https://openalex.org/W3193919099","https://openalex.org/W2351877779","https://openalex.org/W2960233689","https://openalex.org/W2364328341"],"abstract_inverted_index":{"Effective":[0],"prediction":[1,45,59,76,89,113,139,173],"of":[2,27,55,109,138,144,152,164,172,178],"greenhouse":[3,31,56,79,110],"environmental":[4,11,32,42,57,80,111],"parameters":[5,81],"can":[6],"help":[7],"determine":[8],"the":[9,53,71,136,142,150,170,176],"optimal":[10],"conditions":[12],"required":[13],"for":[14,78,135,147],"crop":[15],"growth,":[16],"thereby":[17],"improving":[18],"product":[19],"quality.":[20],"This":[21],"paper":[22],"systematically":[23],"analyzed":[24],"various":[25],"aspects":[26],"existing":[28],"research":[29,51,73],"in":[30,52,60],"parameter":[33,58,112],"prediction,":[34],"including":[35,141],"data":[36,38,96,157],"sources,":[37],"preprocessing":[39,158],"techniques,":[40],"predicted":[41],"factors,":[43],"and":[44,86,102,125,159,169],"models.":[46],"It":[47],"was":[48,115],"observed":[49],"that":[50],"field":[54],"China":[61],"primarily":[62],"focused":[63],"on":[64,128],"northern":[65],"regions,":[66,149],"with":[67],"daylight":[68],"greenhouses":[69],"as":[70,94],"main":[72],"target.":[74],"Existing":[75],"models":[77,90,114,126,145,174],"were":[82,133],"predominantly":[83],"single-factor":[84],"predictions,":[85],"multi-environmental":[87],"factor":[88],"faced":[91],"challenges":[92],"such":[93],"extensive":[95],"requirements,":[97],"lengthy":[98],"model":[99,166],"training":[100],"times,":[101],"high":[103],"modeling":[104],"costs.":[105],"The":[106],"current":[107],"state":[108],"discussed,":[116],"covering":[117],"machine":[118],"learning":[119],"models,":[120,124,140],"deep":[121,165],"neural":[122],"network":[123,167],"based":[127],"multi-method":[129],"fusion":[130,177],"applications.":[131],"Recommendations":[132],"made":[134],"development":[137],"establishment":[143],"suitable":[146],"different":[148],"reduction":[151],"unnecessary":[153],"information":[154],"through":[155,175],"reasonable":[156],"feature":[160],"engineering,":[161],"moderate":[162],"optimization":[163],"structures,":[168],"creation":[171],"multiple":[179],"methods.":[180]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}