{"id":"https://openalex.org/W3046138656","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148182","title":"Tailored Deep Learning based Architecture for Smart Agriculture","display_name":"Tailored Deep Learning based Architecture for Smart Agriculture","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046138656","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148182","mag":"3046138656"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026440576","display_name":"Louay Boukhris","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112335","display_name":"\u00c9cole Sup\u00e9rieure Priv\u00e9e d'Ing\u00e9nierie et de Technologies","ror":"https://ror.org/021f99908","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210112335"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Louay Boukhris","raw_affiliation_strings":["ESPRIT School of Engineering, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ESPRIT School of Engineering, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210112335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021349871","display_name":"Jihene Ben Abderrazak","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Jihene Ben Abderrazak","raw_affiliation_strings":["University of Carthage, Higher School of Communications of Tunis, COSIM Research Lab., Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Carthage, Higher School of Communications of Tunis, COSIM Research Lab., Tunisia","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008512450","display_name":"Hichem Besbes","orcid":"https://orcid.org/0000-0003-1063-494X"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hichem Besbes","raw_affiliation_strings":["University of Carthage, Higher School of Communications of Tunis, COSIM Research Lab., Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Carthage, Higher School of Communications of Tunis, COSIM Research Lab., Tunisia","institution_ids":["https://openalex.org/I179097149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5336,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97985324,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"964","last_page":"969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998000264167786,"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":0.9998000264167786,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12894","display_name":"Date Palm Research Studies","score":0.9416000247001648,"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":0.7966750860214233},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7410823106765747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6965194344520569},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6920894384384155},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6682645082473755},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.596213698387146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5417483448982239},{"id":"https://openalex.org/keywords/contouring","display_name":"Contouring","score":0.4506072700023651},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4393141269683838},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.43682873249053955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2989047169685364}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7966750860214233},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7410823106765747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6965194344520569},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6920894384384155},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6682645082473755},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.596213698387146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5417483448982239},{"id":"https://openalex.org/C2779104521","wikidata":"https://www.wikidata.org/wiki/Q23058469","display_name":"Contouring","level":2,"score":0.4506072700023651},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4393141269683838},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.43682873249053955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2989047169685364},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2013044826","https://openalex.org/W2183913177","https://openalex.org/W2194775991","https://openalex.org/W2473156356","https://openalex.org/W2565639579","https://openalex.org/W2753403518","https://openalex.org/W2806070179","https://openalex.org/W2884367402","https://openalex.org/W2886555888","https://openalex.org/W2936718694","https://openalex.org/W2940118123","https://openalex.org/W2944599236","https://openalex.org/W2973152666","https://openalex.org/W2982381523","https://openalex.org/W6653526764","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W2028761375","https://openalex.org/W2915337797","https://openalex.org/W2360204191","https://openalex.org/W2044363672","https://openalex.org/W2073091389","https://openalex.org/W2968335000","https://openalex.org/W2045558343","https://openalex.org/W4315646535","https://openalex.org/W1968493577","https://openalex.org/W2277030064"],"abstract_inverted_index":{"Disease":[0],"detection":[1,69,90,110],"in":[2,42,60,91,122,143,174],"a":[3,123],"plant":[4],"or":[5],"tree":[6],"using":[7],"traditional":[8],"ways":[9],"such":[10,185],"as":[11,186],"the":[12,30,40,43,53,57,92,131,134,165],"farmers":[13],"expert":[14],"naked":[15],"eyes":[16],"is":[17,138],"both":[18,68],"time":[19],"and":[20,23,33,46,50,70,103,127,145,153,177,188],"resource":[21],"consuming":[22],"may":[24],"engender":[25],"tremendous":[26],"crop":[27,45],"losses.":[28],"Thus,":[29],"early":[31],"diagnosis":[32],"treatment":[34],"of":[35,94,117,133],"these":[36],"diseases":[37],"can":[38,47,73,120],"minimize":[39],"losses":[41],"whole":[44],"improve":[48],"quality":[49],"diversity":[51],"for":[52,67,88,108,114],"consumer":[54],"later.":[55],"With":[56],"recent":[58],"advances":[59],"Deep":[61],"Learning,":[62],"powerful":[63],"approaches":[64],"are":[65],"developed":[66],"classification":[71],"that":[72,164],"cope":[74],"with":[75,111],"complex":[76,125],"environments.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"propose":[82],"an":[83],"efficient":[84],"deep":[85,101],"learning-based":[86],"architecture":[87],"object":[89,109],"context":[93],"Smart":[95],"Agriculture.":[96],"The":[97],"proposed":[98,166],"solution":[99],"combines":[100],"learning":[102,106],"tweaked":[104],"transfer":[105],"models":[107,184],"balanced":[112],"data":[113],"every":[115],"class":[116],"images.":[118],"It":[119],"operate":[121],"more":[124],"environment":[126],"takes":[128],"into":[129],"consideration":[130],"state":[132],"input.":[135],"Its":[136],"aim":[137],"to":[139,181],"automatically":[140],"detect":[141],"damages":[142],"leaves":[144],"fruits,":[146],"locate":[147],"them,":[148],"classify":[149],"their":[150,158],"severity":[151],"levels,":[152],"visualize":[154],"them":[155],"by":[156],"contouring":[157],"exact":[159],"locations.":[160],"Numerical":[161],"results":[162],"reveal":[163],"solution,":[167],"based":[168],"on":[169],"Mask-RCNN":[170],"achieves":[171],"higher":[172],"performances":[173],"features":[175],"extraction":[176],"damage":[178],"detection/localization":[179],"compared":[180],"other":[182],"pre-trained":[183],"VGG16":[187],"VGG19.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}