{"id":"https://openalex.org/W7225286503","doi":null,"title":"Modern Methods of Intelligent Multidimensional Data Analysis in Smart Agro Tasks: From Classical Clustering to Hierarchical MST-Taxonomy of Crop Stress Tolerance","display_name":"Modern Methods of Intelligent Multidimensional Data Analysis in Smart Agro Tasks: From Classical Clustering to Hierarchical MST-Taxonomy of Crop Stress Tolerance","publication_year":2026,"publication_date":"2026-11-03","ids":{"openalex":"https://openalex.org/W7225286503"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.houghtonstreetreview.com:article/2976","doi":null,"is_oa":true,"landing_page_url":"https://houghtonstreetreview.com/index.php/index/article/view/2976","pdf_url":null,"source":{"id":"https://openalex.org/S7407075273","display_name":"HSR (London)","issn_l":"2058-5519","issn":["2058-5519"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2058-5519","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://houghtonstreetreview.com/index.php/index/article/view/2976","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160624491","display_name":"Eshankulov T","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eshankulov T","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160722303","display_name":"Eshonkulova N","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eshonkulova N","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5160695280","display_name":"Choryorkulov G","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choryorkulov G","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":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.83527368,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.4542999863624573,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.4542999863624573,"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/T10616","display_name":"Smart Agriculture and AI","score":0.43209999799728394,"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":0.06589999794960022,"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/smart-agriculture","display_name":"smart agriculture","score":0.7760000228881836},{"id":"https://openalex.org/keywords/digital-agriculture","display_name":"digital agriculture","score":0.6880000233650208},{"id":"https://openalex.org/keywords/crop-stress-tolerance","display_name":"crop stress tolerance","score":0.7820000052452087},{"id":"https://openalex.org/keywords/hierarchical-taxonomy","display_name":"hierarchical taxonomy","score":0.6470000147819519},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.42399999499320984},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.7799999713897705},{"id":"https://openalex.org/keywords/graph-algorithms","display_name":"graph algorithms","score":0.9369999766349792},{"id":"https://openalex.org/keywords/hybrid-method","display_name":"hybrid algorithm","score":0.7459999918937683},{"id":"https://openalex.org/keywords/multidimensional-analysis","display_name":"multidimensional analysis","score":0.7720000147819519},{"id":"https://openalex.org/keywords/soil-stress","display_name":"soil stress","score":0.8270000219345093},{"id":"https://openalex.org/keywords/environmental-stress","display_name":"environmental stress","score":0.9760000109672546}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6061999797821045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5479999780654907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5123999714851379},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4528999924659729},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.42590001225471497},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4140999913215637},{"id":"https://openalex.org/C2989409935","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Crop production","level":3,"score":0.38510000705718994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3677999973297119},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C64331007","wikidata":"https://www.wikidata.org/wiki/Q831672","display_name":"Spanning tree","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.29440000653266907},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C169191187","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional analysis","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2824000120162964},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2637999951839447},{"id":"https://openalex.org/C158457486","wikidata":"https://www.wikidata.org/wiki/Q17104301","display_name":"Multidimensional systems","level":2,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.houghtonstreetreview.com:article/2976","doi":null,"is_oa":true,"landing_page_url":"https://houghtonstreetreview.com/index.php/index/article/view/2976","pdf_url":null,"source":{"id":"https://openalex.org/S7407075273","display_name":"HSR (London)","issn_l":"2058-5519","issn":["2058-5519"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2058-5519","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.houghtonstreetreview.com:article/2976","doi":null,"is_oa":true,"landing_page_url":"https://houghtonstreetreview.com/index.php/index/article/view/2976","pdf_url":null,"source":{"id":"https://openalex.org/S7407075273","display_name":"HSR (London)","issn_l":"2058-5519","issn":["2058-5519"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2058-5519","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.991100013256073,"display_name":"Zero hunger"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7165807325","https://openalex.org/W4407152649","https://openalex.org/W7225174271","https://openalex.org/W7208789442","https://openalex.org/W6885126072","https://openalex.org/W2996847144","https://openalex.org/W2754954326","https://openalex.org/W7162539106","https://openalex.org/W7132836515","https://openalex.org/W1549244863"],"abstract_inverted_index":{"The":[0,20,65],"article":[1],"presents":[2],"an":[3],"analytical":[4],"review":[5],"of":[6,9,22,33,44,58,67,79,88],"the":[7,31,42,55],"development":[8],"graph-theoretic":[10],"algorithms":[11,29],"and":[12,94],"their":[13],"application":[14],"in":[15,50],"digital":[16],"agriculture":[17],"(Smart":[18],"Agriculture).":[19],"evolution":[21],"methods":[23],"from":[24],"classical":[25],"clustering":[26],"(K-Means)":[27],"to":[28,54,83],"for":[30],"decomposition":[32],"Minimum":[34],"Spanning":[35],"Trees":[36],"(MST)":[37],"is":[38,63,71],"considered.":[39],"Based":[40],"on":[41],"analysis":[43],"global":[45],"research,":[46],"a":[47,75,85],"scientific":[48],"gap":[49],"existing":[51],"approaches":[52],"related":[53],"static":[56],"nature":[57],"threshold":[59],"graph":[60],"division":[61],"criteria":[62],"substantiated.":[64],"concept":[66],"Eshankulov's":[68],"hybrid":[69],"algorithm":[70],"proposed,":[72],"which":[73],"utilizes":[74],"dynamic":[76],"recursive":[77],"recalculation":[78],"local":[80],"subtree":[81],"metrics":[82],"construct":[84],"multi-class":[86],"taxonomy":[87],"crop":[89],"stress":[90,96],"tolerance":[91],"under":[92],"soil":[93],"environmental":[95],"conditions.":[97]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2026-11-05T00:00:00"}