{"id":"https://openalex.org/W4413319267","doi":"https://doi.org/10.1109/metroind4.0iot66048.2025.11122104","title":"A TinyMLOps-Based Edge AI Approach for Early Detection of Emerging Plant Diseases","display_name":"A TinyMLOps-Based Edge AI Approach for Early Detection of Emerging Plant Diseases","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W4413319267","doi":"https://doi.org/10.1109/metroind4.0iot66048.2025.11122104"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot66048.2025.11122104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot66048.2025.11122104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Metrology for Industry 4.0 &amp;amp; IoT (MetroInd4.0 &amp;amp; IoT)","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/A5119347414","display_name":"Hossein Aqasizade","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Hossein Aqasizade","raw_affiliation_strings":["University of Trento &#x0026; Fondazione Bruno Kessler,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento &#x0026; Fondazione Bruno Kessler,Trento,Italy","institution_ids":["https://openalex.org/I2277624104","https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072435713","display_name":"Mattia Antonini","orcid":"https://orcid.org/0000-0003-1685-0264"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Antonini","raw_affiliation_strings":["Fondazione Bruno Kessler,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027706529","display_name":"Massimo Vecchio","orcid":"https://orcid.org/0000-0003-4426-8220"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Vecchio","raw_affiliation_strings":["Fondazione Bruno Kessler,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044155942","display_name":"Fabio Antonelli","orcid":"https://orcid.org/0000-0001-5221-7752"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Antonelli","raw_affiliation_strings":["Fondazione Bruno Kessler,Trento,Italy"],"affiliations":[{"raw_affiliation_string":"Fondazione Bruno Kessler,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119347414"],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18021364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9585999846458435,"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":0.9585999846458435,"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/T11750","display_name":"Phytoplasmas and Hemiptera pathogens","score":0.9185000061988831,"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/T10494","display_name":"Plant Virus Research Studies","score":0.9049000144004822,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5293624401092529},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42704060673713684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29211941361427307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5293624401092529},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42704060673713684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29211941361427307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroind4.0iot66048.2025.11122104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot66048.2025.11122104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Metrology for Industry 4.0 &amp;amp; IoT (MetroInd4.0 &amp;amp; IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2106334424","https://openalex.org/W2126105956","https://openalex.org/W2229801438","https://openalex.org/W2889985731","https://openalex.org/W2949676527","https://openalex.org/W3087199633","https://openalex.org/W4281751571","https://openalex.org/W4318955600","https://openalex.org/W4393302874","https://openalex.org/W4403098888","https://openalex.org/W4403567405","https://openalex.org/W4411937797"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0,191],"paper":[1],"presents":[2],"a":[3,33,95,129,159,166,197],"computer":[4],"vision-based":[5],"system":[6],"for":[7,186,195,203,224],"the":[8,29,42,55,59,64,87,101,105,135,141,154,193,220,235],"early":[9,204],"detection":[10,206],"of":[11,58,122,131,178,234],"plant":[12],"leaf":[13],"diseases,":[14],"developed":[15],"using":[16,41,69,100],"TinyMLOps":[17],"principles":[18],"to":[19,45,73,108,171],"enable":[20],"deployment":[21,187],"on":[22,165],"resourceconstrained":[23],"embedded":[24],"devices.":[25],"The":[26,125],"solution":[27,199],"leverages":[28],"MobileNet":[30],"architecture":[31],"with":[32,134,148,200],"custom":[34],"classification":[35,146],"head":[36],"that":[37,86,162],"is":[38],"properly":[39],"trained":[40],"PlantVillage":[43],"dataset":[44,221],"distinguish":[46],"between":[47,112],"healthy,":[48],"unhealthy,":[49],"and":[50,82,118,183,215],"no":[51],"leaves":[52],"images.":[53],"Given":[54],"class":[56],"imbalance":[57],"relabeled":[60],"dataset,":[61],"we":[62,93,157,222],"augmented":[63],"underrepresented":[65],"classes":[66],"(No":[67],"leaves)":[68],"basic":[70],"image":[71],"transformations":[72],"improve":[74],"model":[75,113,123],"generalization.":[76],"To":[77],"ensure":[78],"both":[79],"high":[80],"accuracy":[81,114],"computational":[83,119,213],"feasibility,":[84],"considering":[85],"target":[88],"device":[89],"has":[90,227],"limited":[91],"resources,":[92],"apply":[94],"multi-objective":[96],"hyperparameter":[97],"optimization":[98,126],"strategy":[99],"Optuna":[102],"framework,":[103],"incorporating":[104],"NSGA-II":[106],"algorithm":[107],"identify":[109],"optimal":[110],"trade-offs":[111],"(measured":[115],"by":[116],"F1-score)":[117],"constraints":[120],"(number":[121],"parameters).":[124],"process":[127],"identifies":[128],"set":[130],"Pareto-optimal":[132],"models,":[133],"most":[136],"promising":[137],"configurations":[138],"residing":[139],"in":[140,176,188,207],"\u201cknee":[142],"region\u201d,":[143],"offering":[144],"strong":[145],"performance":[147,175],"significantly":[149],"reduced":[150],"parameter":[151],"counts.":[152],"From":[153],"Pareto":[155],"front,":[156],"selected":[158],"few":[160],"models":[161],"were":[163],"evaluated":[164],"Raspberry":[167],"Pi":[168],"Zero":[169],"2W":[170],"assess":[172],"their":[173],"realworld":[174],"terms":[177],"inference":[179],"latency,":[180],"memory":[181],"usage,":[182],"overall":[184],"suitability":[185],"resource-constrained":[189],"environments.":[190],"poses":[192],"basis":[194],"building":[196],"low-cost":[198],"commodity":[201],"devices":[202],"disease":[205],"agriculture,":[208],"including":[209],"rural":[210],"areas":[211],"where":[212],"resources":[214],"connectivity":[216],"are":[217],"limited.":[218],"Finally,":[219],"used":[223],"this":[225],"work":[226],"been":[228],"made":[229],"public":[230],"as":[231],"an":[232],"asset":[233],"AgrifoodTEF":[236],"Data":[237],"Space.":[238]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
