{"id":"https://openalex.org/W4285083812","doi":"https://doi.org/10.1142/s0219691322500308","title":"A crop yield prediction model based on an improved artificial neural network and yield monitoring using a blockchain technique","display_name":"A crop yield prediction model based on an improved artificial neural network and yield monitoring using a blockchain technique","publication_year":2022,"publication_date":"2022-07-13","ids":{"openalex":"https://openalex.org/W4285083812","doi":"https://doi.org/10.1142/s0219691322500308"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691322500308","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691322500308","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5053826430","display_name":"M. Sumathi","orcid":"https://orcid.org/0000-0002-8039-0920"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M. Sumathi","raw_affiliation_strings":["Department of School of Computing, SASTRA Deemed University, Thanjavur, Tamilnadu, India \u2013 613401, India"],"raw_orcid":"https://orcid.org/0000-0002-8039-0920","affiliations":[{"raw_affiliation_string":"Department of School of Computing, SASTRA Deemed University, Thanjavur, Tamilnadu, India \u2013 613401, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056544218","display_name":"M. Rajkamal","orcid":"https://orcid.org/0000-0003-0339-7886"},"institutions":[{"id":"https://openalex.org/I4210129961","display_name":"IBM (India)","ror":"https://ror.org/034ahpr11","country_code":"IN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210129961"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Rajkamal","raw_affiliation_strings":["IBM, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, Bangalore, India","institution_ids":["https://openalex.org/I4210129961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068883308","display_name":"S. P. Raja","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. P. Raja","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India \u2013 632014, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India \u2013 632014, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023654243","display_name":"M. Venkatachalapathy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Venkatachalapathy","raw_affiliation_strings":["Department of Mathematics, K.Ramakrishnan College of Engineering (Autonomous), Trichirappalli, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, K.Ramakrishnan College of Engineering (Autonomous), Trichirappalli, Tamilnadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000789897","display_name":"N. Vijayaraj","orcid":null},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Vijayaraj","raw_affiliation_strings":["Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala, R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala, R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I1330855593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053826430"],"corresponding_institution_ids":["https://openalex.org/I932239252"],"apc_list":null,"apc_paid":null,"fwci":3.571,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92089408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"06","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":0.9842000007629395,"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":0.9842000007629395,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9713000059127808,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9071999788284302,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5965467691421509},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.5269017219543457},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5079908967018127},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4245750904083252},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.41214191913604736},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.410767138004303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38803064823150635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3401460647583008},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32026487588882446},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09845888614654541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5965467691421509},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.5269017219543457},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5079908967018127},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4245750904083252},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.41214191913604736},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.410767138004303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38803064823150635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3401460647583008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32026487588882446},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09845888614654541},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691322500308","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691322500308","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2200121095","https://openalex.org/W2692909408","https://openalex.org/W2797756668","https://openalex.org/W2805142011","https://openalex.org/W2891765392","https://openalex.org/W2905983018","https://openalex.org/W2906377504","https://openalex.org/W2914941211","https://openalex.org/W2918245750","https://openalex.org/W2929705482","https://openalex.org/W2953686964","https://openalex.org/W2969691610","https://openalex.org/W3021767909","https://openalex.org/W3044303355","https://openalex.org/W3045916983","https://openalex.org/W3079760979","https://openalex.org/W3080808509","https://openalex.org/W3083918343","https://openalex.org/W3092466855","https://openalex.org/W3112881537","https://openalex.org/W3131823290","https://openalex.org/W3139160332","https://openalex.org/W3139270378","https://openalex.org/W3160575055","https://openalex.org/W3194256128","https://openalex.org/W3195918059","https://openalex.org/W3216778244","https://openalex.org/W4205933749","https://openalex.org/W4214887238","https://openalex.org/W4285276322"],"related_works":["https://openalex.org/W1571141552","https://openalex.org/W4386067343","https://openalex.org/W4294250823","https://openalex.org/W55936454","https://openalex.org/W2095572632","https://openalex.org/W2944249426","https://openalex.org/W3156349322","https://openalex.org/W4294609170","https://openalex.org/W129955550","https://openalex.org/W3215229723"],"abstract_inverted_index":{"Nowadays,":[0],"improving":[1],"a":[2,41,164,190,202,281,289,313],"crop":[3,112,185,234],"yield":[4,283],"([Formula:":[5],"see":[6,21,98],"text])":[7],"is":[8,45,86,114,134,147,187,205],"an":[9,130],"emerging":[10],"and":[11,33,77,90,111,121,140,154,181,194,216,228,242,251,268,294,299,318,324,333],"essential":[12],"task":[13],"to":[14,58,88,105,118,136,172,210,239,258,274],"reduce":[15,325],"food":[16],"scarcity.":[17],"Factors":[18],"impacting":[19],"[Formula:":[20,97],"text]":[22],"improvement":[23],"include":[24],"rising":[25],"population,":[26],"water":[27],"shortage,":[28],"fertilizer":[29,110,182],"use,":[30],"climate":[31],"change":[32],"unprecedented":[34],"insect":[35],"attacks.":[36],"To":[37,197],"resolve":[38],"these":[39],"issues,":[40],"smart":[42],"agriculture":[43],"technique":[44,70,204,264,279,305],"proposed":[46,263,277,329],"in":[47,95,116,177,200,207,253,310,335],"this":[48,208],"work.":[49],"Internet":[50],"of":[51,108,125,161,179,192,225,291,312],"Things":[52],"(IoT)":[53],"sensor":[54],"devices":[55],"are":[56],"used":[57,135],"collect":[59],"data":[60,73,103,120,145,169],"from":[61,271],"farms,":[62],"following":[63],"which":[64,162],"the":[65,72,92,106,126,138,150,157,167,223,226,233,237,240,243,254,259,262,285,303],"fuzzy":[66,151],"association":[67,152],"rule-based":[68],"classification":[69],"classifies":[71],"into":[74],"two,":[75],"valuable":[76,102,144],"nonvaluable.":[78],"An":[79],"improved":[80],"artificial":[81],"neural":[82],"network":[83],"(IANN)":[84],"algorithm":[85],"applied":[87],"identify":[89],"analyze":[91],"factors":[93],"involved":[94],"monitoring":[96],"text]\u2019s.":[99],"Thereafter,":[100],"all":[101],"pertaining":[104],"type":[107],"seed,":[109],"cost":[113],"stored":[115],"blocks":[117,139],"secure":[119,211,246],"communication":[122,212,247],"between":[123,213],"members":[124],"farming":[127],"community.":[128],"Finally,":[129],"edge":[131,319],"computing":[132],"device":[133],"store":[137],"transfer":[141],"information.":[142],"The":[143,218,276,316,328],"collected":[146],"classified":[148],"using":[149,156],"rule":[153],"analyzed":[155],"IANN":[158,278,304],"technique,":[159],"both":[160],"facilitate":[163],"comparison":[165,191],"with":[166,288],"historical":[168,195],"so":[170],"as":[171,230,232],"enable":[173],"better":[174,266],"decision":[175],"making":[176],"terms":[178,311],"seed":[180,227,272],"selection.":[183],"Similarly,":[184,302],"price":[186],"predicted":[188],"through":[189,236],"present":[193],"yields.":[196],"overcome":[198],"breaches":[199],"security,":[201],"blockchain":[203,238,317],"employed":[206],"work":[209],"farmers,":[214],"investors":[215],"merchants.":[217],"investor":[219],"dispatches":[220],"instructions":[221],"on":[222],"selection":[224,273],"fertilizer,":[229],"well":[231],"cost,":[235],"farmer":[241],"merchant.":[244],"Such":[245],"bypasses":[248],"third-party":[249],"involvement":[250],"inconsistencies":[252],"data.":[255],"When":[256],"compared":[257],"traditional":[260,286],"method,":[261],"offers":[265],"accuracy":[267,309],"profits,":[269],"right":[270],"trading.":[275],"produced":[280],"higher":[282],"than":[284],"method":[287],"profit":[290,314],"51%,":[292],"35%":[293],"20%":[295],"for":[296],"rice,":[297],"bananas":[298],"flowers,":[300],"respectively.":[301],"provides":[306],"99.15%":[307],"prediction":[308],"analysis.":[315],"computing-based":[320],"transactions":[321],"improve":[322],"security":[323],"transactional":[326],"latency.":[327],"system":[330],"ensures":[331],"sustainability":[332],"traceability":[334],"agriculture.":[336]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}
