{"id":"https://openalex.org/W7127077151","doi":"https://doi.org/10.1051/shsconf/202521601041/pdf","title":"Enhanced Convolutional Neural Network for Accurate Crop Recommendation System on Climate Data","display_name":"Enhanced Convolutional Neural Network for Accurate Crop Recommendation System on Climate Data","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W7127077151","doi":"https://doi.org/10.1051/shsconf/202521601041/pdf"},"language":"en","primary_location":{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202521601041","doi":"https://doi.org/10.1051/shsconf/202521601041/pdf","is_oa":true,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601041/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601041/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202521601041","raw_type":"Text"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601041/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090643159","display_name":"Myasar Mundher Adnan","orcid":"https://orcid.org/0000-0003-3260-9171","observed_orcids":["https://orcid.org/0000-0003-3260-9171"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Myasar M. Adnan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121771397","display_name":"Hafidh L. AI Sadi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hafidh l. AI_Sadi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5018908131","display_name":"Pideka Kundil Abhilash","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pideka Kundil Abhilash","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48765299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crop-recommendation-system","display_name":"crop recommendation system","score":0.9449999928474426},{"id":"https://openalex.org/keywords/crop-suitability-prediction","display_name":"crop suitability prediction","score":0.8569999933242798},{"id":"https://openalex.org/keywords/climate-data","display_name":"climate data","score":0.8669999837875366},{"id":"https://openalex.org/keywords/soil-properties","display_name":"soil properties","score":0.7099999785423279},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9789999723434448},{"id":"https://openalex.org/keywords/improved-convolutional-neural-network","display_name":"improved convolutional neural network","score":0.8799999952316284},{"id":"https://openalex.org/keywords/min-max-normalization","display_name":"min-max normalization","score":0.8330000042915344},{"id":"https://openalex.org/keywords/agricultural-decision-support-systems","display_name":"agricultural decision support","score":0.5770000219345093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037000060081482},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5235999822616577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5120000243186951},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.49729999899864197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4765999913215637},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.46140000224113464},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.43869999051094055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40939998626708984},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C2989409935","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Crop production","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202521601041","doi":"https://doi.org/10.1051/shsconf/202521601041/pdf","is_oa":true,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601041/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601041/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202521601041","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:edpsciences.org:dkey/10.1051/shsconf/202521601041","doi":"https://doi.org/10.1051/shsconf/202521601041/pdf","is_oa":true,"landing_page_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601041/pdf","pdf_url":"https://www.shs-conferences.org/10.1051/shsconf/202521601041/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/shsconf/202521601041","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.991100013256073}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6246537566184998}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7127077151.pdf","grobid_xml":"https://content.openalex.org/works/W7127077151.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Agriculture":[0],"is":[1,11],"crucial":[2],"for":[3,61],"economic":[4],"growth":[5],"and":[6,18,91,107,131,147],"development,":[7],"yet":[8],"crop":[9,16,22,42,54,71],"productivity":[10],"frequently":[12],"undermined":[13],"by":[14,50,74,126],"improper":[15],"selection":[17,93],"ineffective":[19],"identification":[20],"of":[21],"types.":[23],"Traditional":[24],"systems":[25],"often":[26],"focus":[27],"on":[28],"isolated":[29],"factors,":[30],"such":[31],"as":[32],"weather":[33],"or":[34],"soil":[35],"conditions,":[36],"which":[37],"leads":[38],"to":[39,67,152],"less":[40],"accurate":[41],"suitability":[43],"predictions.":[44],"This":[45,64],"research":[46,65],"addresses":[47],"these":[48,76],"challenges":[49],"developing":[51],"a":[52,69,80],"robust":[53,70],"recommendation":[55,72],"system":[56,73],"that":[57,83,137],"integrates":[58],"multiple":[59],"factors":[60],"improved":[62],"accuracy.":[63],"aims":[66],"develop":[68],"addressing":[75],"limitations.":[77],"We":[78],"propose":[79],"comprehensive":[81],"approach":[82,141],"includes":[84],"preprocessing":[85],"with":[86],"the":[87,120,138],"Min-Max":[88],"Normalization":[89],"algorithm":[90,113],"feature":[92],"using":[94],"an":[95],"Enhanced":[96],"Cuckoo":[97],"Search":[98],"Optimization":[99],"Algorithm":[100],"(ECSO).":[101],"The":[102],"chosen":[103],"features":[104],"are":[105],"classified":[106],"Improved":[108],"Convolutional":[109],"Neural":[110],"Network":[111],"(ICNN)":[112],"predicts":[114],"crops":[115],"accurately.":[116],"Our":[117],"model,":[118],"combining":[119],"CS-ICNN":[121,140],"framework,":[122],"offers":[123],"enhanced":[124],"recommendations":[125],"considering":[127],"both":[128],"soil-specific":[129],"characteristics":[130],"environmental":[132],"factors.":[133],"Experimental":[134],"results":[135],"demonstrate":[136],"proposed":[139],"achieves":[142],"superior":[143],"accuracy,":[144],"precision,":[145],"recall,":[146],"reduced":[148],"execution":[149],"time":[150],"compared":[151],"existing":[153],"methodologies.":[154]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-02-03T00:00:00"}