{"id":"https://openalex.org/W2942933131","doi":"https://doi.org/10.1109/tii.2019.2914158","title":"A Granular GA-SVM Predictor for Big Data in Agricultural Cyber-Physical Systems","display_name":"A Granular GA-SVM Predictor for Big Data in Agricultural Cyber-Physical Systems","publication_year":2019,"publication_date":"2019-04-30","ids":{"openalex":"https://openalex.org/W2942933131","doi":"https://doi.org/10.1109/tii.2019.2914158","mag":"2942933131"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2914158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2914158","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5001813853","display_name":"Junhu Ruan","orcid":"https://orcid.org/0000-0001-7166-0522"},"institutions":[{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhu Ruan","raw_affiliation_strings":["College of Economics and Management, Northwest A&F University, Yangling, China"],"raw_orcid":"https://orcid.org/0000-0001-7166-0522","affiliations":[{"raw_affiliation_string":"College of Economics and Management, Northwest A&F University, Yangling, China","institution_ids":["https://openalex.org/I89652312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054376242","display_name":"Hua Jiang","orcid":"https://orcid.org/0000-0002-4840-1415"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Jiang","raw_affiliation_strings":["School of Management Engineering and Business, Hebei University of Engineering, Handan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management Engineering and Business, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449123","display_name":"Xiaoyu Li","orcid":"https://orcid.org/0000-0001-5619-9838"},"institutions":[{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Li","raw_affiliation_strings":["College of Economics and Management, Northwest A&F University, Yangling, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Northwest A&F University, Yangling, China","institution_ids":["https://openalex.org/I89652312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053961894","display_name":"Yan Shi","orcid":"https://orcid.org/0000-0002-9390-2163"},"institutions":[{"id":"https://openalex.org/I97663771","display_name":"Kyushu Tokai University","ror":"https://ror.org/00w0f8567","country_code":"JP","type":"education","lineage":["https://openalex.org/I97663771"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yan Shi","raw_affiliation_strings":["General Education Center, Tokai University, Kumamoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Education Center, Tokai University, Kumamoto, Japan","institution_ids":["https://openalex.org/I97663771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091374591","display_name":"Felix T.S. Chan","orcid":"https://orcid.org/0000-0001-7374-2396"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Felix T. S. Chan","raw_affiliation_strings":["Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7374-2396","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008130371","display_name":"Weizhen Rao","orcid":"https://orcid.org/0000-0002-7263-2555"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhen Rao","raw_affiliation_strings":["College of Economics and Management, Shandong University of Science and Technology, Qingdao, China","Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7263-2555","affiliations":[{"raw_affiliation_string":"College of Economics and Management, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.1222,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.98652162,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"15","issue":"12","first_page":"6510","last_page":"6521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9947999715805054,"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":0.9947999715805054,"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/T12486","display_name":"Food Supply Chain Traceability","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food 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/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/granulation","display_name":"Granulation","score":0.7576457262039185},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.6892680525779724},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6567174196243286},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5692092180252075},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5562919974327087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5460590720176697},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5091003775596619},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.4751015901565552},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.44192230701446533},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4224667251110077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38871389627456665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3333020806312561},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.32310575246810913},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2953563332557678},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.29307007789611816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2229224443435669}],"concepts":[{"id":"https://openalex.org/C88463166","wikidata":"https://www.wikidata.org/wiki/Q1543243","display_name":"Granulation","level":2,"score":0.7576457262039185},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.6892680525779724},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6567174196243286},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5692092180252075},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5562919974327087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5460590720176697},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5091003775596619},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.4751015901565552},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.44192230701446533},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4224667251110077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38871389627456665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3333020806312561},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32310575246810913},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2953563332557678},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.29307007789611816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2229224443435669},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2019.2914158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2914158","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5199999809265137,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1353894151","display_name":null,"funder_award_id":"16CGL016","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"},{"id":"https://openalex.org/G1999794411","display_name":null,"funder_award_id":"2018RWSK02","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2628127667","display_name":null,"funder_award_id":"ZR2018MG001","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G273948600","display_name":null,"funder_award_id":"71531002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5914659822","display_name":null,"funder_award_id":"71703122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2077736182","https://openalex.org/W2079108667","https://openalex.org/W2125824828","https://openalex.org/W2131339080","https://openalex.org/W2471387764","https://openalex.org/W2610051210","https://openalex.org/W2623595444","https://openalex.org/W2765691677","https://openalex.org/W2790282462","https://openalex.org/W2792243774","https://openalex.org/W2792619682","https://openalex.org/W2795018020","https://openalex.org/W2803272978","https://openalex.org/W2804425166","https://openalex.org/W2809418482","https://openalex.org/W2885082084","https://openalex.org/W2890179699","https://openalex.org/W2904115886","https://openalex.org/W2920801930","https://openalex.org/W2922178002"],"related_works":["https://openalex.org/W2123804754","https://openalex.org/W1485197043","https://openalex.org/W2350522004","https://openalex.org/W2895629587","https://openalex.org/W2025546910","https://openalex.org/W1995249265","https://openalex.org/W2467996332","https://openalex.org/W2889473066","https://openalex.org/W2887262172","https://openalex.org/W4399207699"],"abstract_inverted_index":{"The":[0],"connection":[1],"of":[2,30,39,51,131,143,191],"physical":[3],"agriculture":[4,18],"with":[5,59,81,171],"corresponding":[6],"cyber":[7],"systems":[8,118],"is":[9,41,124,164],"helpful":[10],"to":[11,24,43,87,110,126,166],"achieve":[12],"precision":[13],"agriculture.":[14],"Real-time":[15],"data":[16,52,114,146,169],"from":[17,47,138,147],"sensors":[19],"can":[20],"provide":[21,184],"decision":[22],"supports":[23],"improve":[25],"the":[26,60,93,128,139,159,179],"yields":[27],"and":[28,77,105,122,135,175],"quality":[29],"agricultural":[31,116],"products,":[32],"but":[33],"also":[34],"bring":[35],"about":[36],"challenges":[37],"one":[38],"which":[40],"how":[42],"mine":[44],"useful":[45],"information":[46,182],"these":[48],"vast":[49],"amounts":[50],"at":[53],"acceptable":[54],"computation":[55,173],"costs.":[56],"To":[57],"deal":[58],"dimension":[61],"disaster":[62],"problem":[63],"faced":[64],"by":[65],"most":[66],"conventional":[67],"mining":[68],"algorithms,":[69],"in":[70,115,153],"this":[71],"paper":[72],"we":[73],"combine":[74],"granulation":[75,97],"techniques":[76],"genetic":[78],"algorithm":[79],"(GA)":[80],"a":[82,89],"support":[83],"vector":[84],"machine":[85],"(SVM)":[86],"propose":[88],"granular":[90,161],"GA-SVM.":[91],"In":[92],"integrated":[94],"predictor,":[95],"three":[96],"methods,":[98],"that":[99,158],"is,":[100],"Min-Median-Max":[101],"granulation,":[102,104,107],"Quartile-Median":[103],"fuzzy":[106],"are":[108],"introduced":[109],"break":[111],"down":[112],"big":[113,168],"cyber-physical":[117],"into":[119],"small-scale":[120],"granules,":[121],"GA":[123],"used":[125],"find":[127],"optimal":[129],"values":[130],"SVM":[132],"penalty":[133],"parameter":[134,137],"kernel":[136],"reduced":[140,172],"granules.":[141],"Internet":[142],"Things":[144],"(IoT)":[145],"Luochuan":[148],"Apple":[149],"Experimental":[150],"Demonstration":[151],"Station":[152],"Shaanxi":[154],"Province,":[155],"China,":[156],"verified":[157],"proposed":[160],"GA-SVM":[162],"predictor":[163],"effective":[165],"make":[167],"prediction":[170],"time":[174],"equivalent":[176],"accuracy.":[177],"Moreover,":[178],"predicted":[180],"environment":[181],"could":[183],"guidance":[185],"for":[186],"growers":[187],"achieving":[188],"precise":[189],"management":[190],"apple":[192],"planting.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}