{"id":"https://openalex.org/W7152699582","doi":"https://doi.org/10.1109/icecet63943.2025.11472029","title":"Forecasting CO2 Emissions in the Agricultural Sector: A Comprehensive Analysis Using Statistical and Machine Learning Models","display_name":"Forecasting CO2 Emissions in the Agricultural Sector: A Comprehensive Analysis Using Statistical and Machine Learning Models","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W7152699582","doi":"https://doi.org/10.1109/icecet63943.2025.11472029"},"language":null,"primary_location":{"id":"doi:10.1109/icecet63943.2025.11472029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5066461201","display_name":"Laiali Almazaydeh","orcid":null},"institutions":[{"id":"https://openalex.org/I117222138","display_name":"Abu Dhabi University","ror":"https://ror.org/01r3kjq03","country_code":"AE","type":"education","lineage":["https://openalex.org/I117222138"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Laiali Almazaydeh","raw_affiliation_strings":["Abu Dhabi University,Department of Computer Science,Abu Dhabi,UAE"],"affiliations":[{"raw_affiliation_string":"Abu Dhabi University,Department of Computer Science,Abu Dhabi,UAE","institution_ids":["https://openalex.org/I117222138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133262426","display_name":"Arar Al Tawil","orcid":null},"institutions":[{"id":"https://openalex.org/I146367977","display_name":"Applied Science Private University","ror":"https://ror.org/01ah6nb52","country_code":"JO","type":"education","lineage":["https://openalex.org/I146367977"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Arar Al Tawil","raw_affiliation_strings":["Applied Science Private University,Faculty of Information Technology,Amman,Jordan"],"affiliations":[{"raw_affiliation_string":"Applied Science Private University,Faculty of Information Technology,Amman,Jordan","institution_ids":["https://openalex.org/I146367977"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070765307","display_name":"Khaled Elleithy","orcid":"https://orcid.org/0000-0001-9239-5035"},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khaled Elleithy","raw_affiliation_strings":["University of Bridgeport,College of Engineering,Department of Computer Engineering,Bridgeport,CT,USA"],"affiliations":[{"raw_affiliation_string":"University of Bridgeport,College of Engineering,Department of Computer Engineering,Bridgeport,CT,USA","institution_ids":["https://openalex.org/I154300980"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066461201"],"corresponding_institution_ids":["https://openalex.org/I117222138"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65411055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.19900000095367432,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.19900000095367432,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.05700000002980232,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12916","display_name":"COVID-19 impact on air quality","score":0.044199999421834946,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.5085999965667725},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.37869998812675476},{"id":"https://openalex.org/keywords/statistical-learning","display_name":"Statistical learning","score":0.35920000076293945},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2784999907016754},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.275299996137619},{"id":"https://openalex.org/keywords/agricultural-productivity","display_name":"Agricultural productivity","score":0.2694000005722046}],"concepts":[{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.5085999965667725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4641999900341034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.438400000333786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40149998664855957},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.35920000076293945},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.28600001335144043},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2761000096797943},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C128383755","wikidata":"https://www.wikidata.org/wiki/Q3816336","display_name":"Agricultural productivity","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.26019999384880066}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet63943.2025.11472029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.8268634080886841}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1910025992","https://openalex.org/W2513922847","https://openalex.org/W2724986845","https://openalex.org/W2766937672","https://openalex.org/W2807756532","https://openalex.org/W2883446938","https://openalex.org/W2891623757","https://openalex.org/W2999144726","https://openalex.org/W3036945492","https://openalex.org/W3042675661","https://openalex.org/W3043452507","https://openalex.org/W3044592382","https://openalex.org/W3110660585","https://openalex.org/W3125652390","https://openalex.org/W3182706339","https://openalex.org/W4285794683"],"related_works":[],"abstract_inverted_index":{"The":[0,35,88],"global":[1],"climate":[2,141],"commitments":[3],"are":[4,78],"substantially":[5],"affected":[6],"by":[7,27],"CO<inf":[8,132],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[9,133],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[10,134],"emissions":[11,26,135],"in":[12],"the":[13,32,42,80,92,98,103,138],"agricultural":[14],"sector.":[15,34],"By":[16],"conducting":[17],"a":[18],"thorough":[19],"literature":[20],"review,":[21],"this":[22],"investigation":[23],"forecasts":[24],"these":[25],"identifying":[28],"critical":[29],"determinants":[30],"within":[31],"agri-food":[33],"Food":[36],"and":[37,41,67,76,136],"Agriculture":[38],"Organization":[39],"(FAO)":[40],"Intergovernmental":[43],"Panel":[44],"on":[45],"Climate":[46],"Change":[47],"(IPCC)":[48],"meticulously":[49],"prepare":[50],"historical":[51],"data":[52],"for":[53,130],"analysis,":[54],"which":[55],"includes":[56],"steps":[57],"such":[58],"as":[59],"filtering,":[60],"setting":[61],"time":[62],"indices,":[63],"managing":[64],"absent":[65],"values,":[66],"scaling.":[68],"ARIMA,":[69],"SARIMA,":[70],"Holt-Winters,":[71],"Prophet,":[72],"LSTM":[73,93],"neural":[74,94],"networks,":[75],"XGBoost":[77],"among":[79,112],"forecasting":[81],"models":[82],"devised":[83],"to":[84,126],"anticipate":[85],"future":[86],"emissions.":[87],"results":[89],"suggest":[90],"that":[91,122],"network":[95],"model":[96],"delivers":[97],"most":[99],"precise":[100],"predictions,":[101],"with":[102,119],"lowest":[104],"Root":[105],"Mean":[106],"Squared":[107],"Error":[108],"(RMSE)":[109],"of":[110,140],"366.68":[111],"all":[113],"models.":[114],"These":[115],"discoveries":[116],"provide":[117],"policymakers":[118],"practical":[120],"insights":[121],"can":[123],"be":[124],"used":[125],"create":[127],"effective":[128],"strategies":[129],"reducing":[131],"mitigating":[137],"effects":[139],"change.":[142]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-04-10T00:00:00"}
