{"id":"https://openalex.org/W3098600452","doi":"https://doi.org/10.1109/crc51253.2020.9253457","title":"Crop Recommendation via Clustering Center Optimized Algorithm for Imbalanced Soil Data","display_name":"Crop Recommendation via Clustering Center Optimized Algorithm for Imbalanced Soil Data","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3098600452","doi":"https://doi.org/10.1109/crc51253.2020.9253457","mag":"3098600452"},"language":"en","primary_location":{"id":"doi:10.1109/crc51253.2020.9253457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5067637363","display_name":"Aoqi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aoqi Liu","raw_affiliation_strings":["School of Computer Science and Engineering School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","Wuhan Institute of Technology,School of Computer Science and Engineering School of Artificial Intelligence,Wuhan,China,430073"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]},{"raw_affiliation_string":"Wuhan Institute of Technology,School of Computer Science and Engineering School of Artificial Intelligence,Wuhan,China,430073","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089404454","display_name":"Tao L\u00fc","orcid":"https://orcid.org/0000-0001-8117-2012"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lu","raw_affiliation_strings":["School of Computer Science and Engineering School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","Wuhan Institute of Technology,School of Computer Science and Engineering School of Artificial Intelligence,Hubei Key Laboratory of Intelligent Robot,Wuhan,China,430073"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]},{"raw_affiliation_string":"Wuhan Institute of Technology,School of Computer Science and Engineering School of Artificial Intelligence,Hubei Key Laboratory of Intelligent Robot,Wuhan,China,430073","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071336789","display_name":"Bufan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bufan Wang","raw_affiliation_strings":["School of Computer Science and Engineering School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","Wuhan Institute of Technology,School of Computer Science and Engineering School of Artificial Intelligence,Wuhan,China,430073"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]},{"raw_affiliation_string":"Wuhan Institute of Technology,School of Computer Science and Engineering School of Artificial Intelligence,Wuhan,China,430073","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100348795","display_name":"Chong Chen","orcid":"https://orcid.org/0000-0003-0213-9957"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Chen","raw_affiliation_strings":["School of Computer Science and Engineering School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","Wuhan Institute of Technology,School of Computer Science and Engineering School of Artificial Intelligence,Wuhan,China,430073"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering School of Artificial Intelligence, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]},{"raw_affiliation_string":"Wuhan Institute of Technology,School of Computer Science and Engineering School of Artificial Intelligence,Wuhan,China,430073","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067637363"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73489115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8525326251983643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6728566884994507},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5632714629173279},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.48013779520988464},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4676040709018707},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.4447143077850342},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4432292580604553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39511367678642273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36286118626594543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3429984450340271},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.28469526767730713}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8525326251983643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728566884994507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5632714629173279},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48013779520988464},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4676040709018707},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.4447143077850342},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4432292580604553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39511367678642273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36286118626594543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3429984450340271},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.28469526767730713},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc51253.2020.9253457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W2153061605","https://openalex.org/W2590468122","https://openalex.org/W2912118475","https://openalex.org/W2966848845","https://openalex.org/W2981905647","https://openalex.org/W4230674625","https://openalex.org/W4239510810","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W3088133960","https://openalex.org/W3144143113","https://openalex.org/W2393707058","https://openalex.org/W3022637481","https://openalex.org/W2170078080","https://openalex.org/W3120229345","https://openalex.org/W2371010743","https://openalex.org/W2607902515","https://openalex.org/W3039964395","https://openalex.org/W2050713761"],"abstract_inverted_index":{"Making":[0],"regional":[1],"crop":[2],"recommendation":[3],"based":[4],"on":[5],"the":[6,35,38,63,66,72,83,92,99,109,113],"content":[7],"of":[8,37,112],"soil":[9,26,123],"elements":[10],"and":[11,18,70],"nutrient":[12],"cycle":[13],"periods":[14],"is":[15,29,95],"an":[16],"efficient":[17],"environmental-friendly":[19],"way":[20],"in":[21],"precision":[22],"agriculture.":[23],"However,":[24],"real-world":[25],"data":[27,89],"distribution":[28],"always":[30],"imbalanced,":[31],"which":[32],"seriously":[33],"affects":[34],"performance":[36],"learning-based":[39],"prediction":[40,100,110,119],"model.":[41],"In":[42],"order":[43],"to":[44,81,86,97],"solve":[45],"this":[46,48],"problem,":[47],"paper":[49],"proposes":[50],"a":[51],"clustering":[52,74,79],"center":[53,80],"optimized":[54],"algorithm":[55,64,94,115],"by":[56],"Synthetic":[57],"Minority":[58],"Over-sampling":[59],"Technique":[60],"(SMOTE).":[61],"Firstly,":[62],"analyzes":[65],"original":[67],"sample":[68],"points":[69],"selects":[71],"density-based":[73],"centers.":[75],"Then,":[76],"it":[77],"uses":[78],"generate":[82],"minority":[84],"samples":[85],"ameliorate":[87],"imbalanced":[88,122],"distribution.":[90],"Finally,":[91],"ensemble":[93],"used":[96],"train":[98],"model":[101],"for":[102],"accurate":[103],"prediction.":[104],"Experimental":[105],"results":[106],"show":[107],"that":[108],"accuracy":[111],"proposed":[114],"outperforms":[116],"other":[117],"state-of-the-art":[118],"models":[120],"over":[121],"data.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
