{"id":"https://openalex.org/W4405272038","doi":"https://doi.org/10.1109/icceic64099.2024.10775866","title":"Improvement of the Greenhouse Temperature Analysis Model for Explanatory and Adaptability","display_name":"Improvement of the Greenhouse Temperature Analysis Model for Explanatory and Adaptability","publication_year":2024,"publication_date":"2024-10-11","ids":{"openalex":"https://openalex.org/W4405272038","doi":"https://doi.org/10.1109/icceic64099.2024.10775866"},"language":"en","primary_location":{"id":"doi:10.1109/icceic64099.2024.10775866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceic64099.2024.10775866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","raw_type":"proceedings-article"},"type":"article","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/A5082470196","display_name":"Y. WANG","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yongrui Wang","raw_affiliation_strings":["Academy of Military Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Academy of Military Sciences,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931613","display_name":"Nan Li","orcid":"https://orcid.org/0000-0002-8144-3174"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nan Li","raw_affiliation_strings":["Institute of Systems Engineering, Academy of Military Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, Academy of Military Sciences,Beijing,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030730346","display_name":"Han Yang","orcid":"https://orcid.org/0000-0001-6660-530X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Yang","raw_affiliation_strings":["Institute of Systems Engineering, Academy of Military Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, Academy of Military Sciences,Beijing,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082470196"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12683174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9610000252723694,"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":0.9610000252723694,"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/adaptability","display_name":"Adaptability","score":0.9231337308883667},{"id":"https://openalex.org/keywords/greenhouse","display_name":"Greenhouse","score":0.6984911561012268},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4386560320854187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4232522249221802},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.10377997159957886},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09462609887123108}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.9231337308883667},{"id":"https://openalex.org/C32198211","wikidata":"https://www.wikidata.org/wiki/Q165044","display_name":"Greenhouse","level":2,"score":0.6984911561012268},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4386560320854187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4232522249221802},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.10377997159957886},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09462609887123108},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icceic64099.2024.10775866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceic64099.2024.10775866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2063743838","https://openalex.org/W2123170761","https://openalex.org/W2138727729","https://openalex.org/W2152195021","https://openalex.org/W2615638605","https://openalex.org/W3047132966","https://openalex.org/W3214977267","https://openalex.org/W4214604401","https://openalex.org/W4317802955","https://openalex.org/W6809098243"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2365947430"],"abstract_inverted_index":{"The":[0,139,169],"greenhouse":[1,91,195],"is":[2,12,19,171],"a":[3,54,84,105,116],"typical":[4],"microclimate":[5],"regulation":[6,88],"system,":[7],"where":[8],"the":[9,42,90,125,150,157,164,183,189,193],"indoor":[10],"environment":[11,191],"influenced":[13],"by":[14,47,144,153],"numerous":[15],"external":[16],"variables":[17],"and":[18,35,134],"prone":[20],"to":[21,67,120,131,162],"significant":[22,186],"overall":[23],"fluctuations.":[24],"Under":[25],"such":[26,30],"circumstances,":[27],"conventional":[28],"methods":[29],"as":[31,156],"fixed":[32,100],"temperature":[33,49,70],"thresholds":[34],"linear":[36],"control":[37],"are":[38,142],"inadequate":[39],"in":[40,188],"addressing":[41],"energy":[43],"wastage":[44],"issues":[45],"caused":[46],"excessive":[48],"adjustments.":[50],"This":[51],"paper":[52],"investigates":[53],"multiparameter":[55,76],"analysis":[56,77,95],"method":[57],"for":[58,72,86,124],"sunlit":[59,73,194],"greenhouses":[60,74],"centered":[61],"on":[62,99,147,196],"historical":[63],"data":[64],"mining,":[65],"aiming":[66],"provide":[68],"reasonable":[69],"predictions":[71],"through":[75],"while":[78,149],"enhancing":[79],"model":[80,170,197],"interpretability,":[81,133],"thereby":[82],"laying":[83],"foundation":[85],"precise":[87],"of":[89,159,174,185,192],"environment.":[92],"Unlike":[93],"traditional":[94],"networks":[96,110],"that":[97,107],"rely":[98],"parameters,":[101],"this":[102],"study":[103],"proposes":[104],"framework":[106],"combines":[108],"fuzzy":[109,122],"with":[111],"parameter":[112,137],"optimization.":[113,138],"It":[114],"utilizes":[115],"priori":[117],"superior":[118],"architectures":[119],"implement":[121],"settings":[123],"CNN":[126],"network,":[127],"employs":[128],"KAN":[129],"modules":[130],"improve":[132],"conducts":[135],"global":[136],"training":[140,165],"costs":[141],"reduced":[143],"9%":[145],"based":[146],"pre-training,":[148],"accuracy":[151,166],"increases":[152],"11%.":[154],"Furthermore,":[155],"number":[158],"parameters":[160],"continues":[161],"rise,":[163],"consistently":[167],"improves.":[168],"also":[172],"capable":[173],"fine-tuning":[175],"optimization":[176],"under":[177],"varying":[178],"weather":[179],"conditions,":[180],"thus":[181],"mitigating":[182],"impact":[184],"fluctuations":[187],"internal":[190],"accuracy.":[198]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}