{"id":"https://openalex.org/W4311214746","doi":"https://doi.org/10.1109/ict4da56482.2022.9971300","title":"Detection and Classification of Coffee Leaf Disease using Deep Learning","display_name":"Detection and Classification of Coffee Leaf Disease using Deep Learning","publication_year":2022,"publication_date":"2022-11-28","ids":{"openalex":"https://openalex.org/W4311214746","doi":"https://doi.org/10.1109/ict4da56482.2022.9971300"},"language":"en","primary_location":{"id":"doi:10.1109/ict4da56482.2022.9971300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict4da56482.2022.9971300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)","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/A5007610757","display_name":"Eyobed Birhanu Paulos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101494","display_name":"Wolaita Sodo University","ror":"https://ror.org/0106a2j17","country_code":"ET","type":"education","lineage":["https://openalex.org/I4210101494"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Eyobed Birhanu Paulos","raw_affiliation_strings":["Wolaita Sodo University,School of Informatics,Wolaita Sodo,Ethiopia","School of Informatics, Wolaita Sodo University, Wolaita Sodo, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wolaita Sodo University,School of Informatics,Wolaita Sodo,Ethiopia","institution_ids":["https://openalex.org/I4210101494"]},{"raw_affiliation_string":"School of Informatics, Wolaita Sodo University, Wolaita Sodo, Ethiopia","institution_ids":["https://openalex.org/I4210101494"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077821129","display_name":"Michael Melese Woldeyohannis","orcid":"https://orcid.org/0000-0002-1532-6885"},"institutions":[{"id":"https://openalex.org/I4537092","display_name":"Addis Ababa University","ror":"https://ror.org/038b8e254","country_code":"ET","type":"education","lineage":["https://openalex.org/I4537092"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Michael Melese Woldeyohannis","raw_affiliation_strings":["Addis Ababa University,School of Information Science,Addis Ababa,Ethiopia","School of Information Science, Addis Ababa University, Addis Ababa, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Addis Ababa University,School of Information Science,Addis Ababa,Ethiopia","institution_ids":["https://openalex.org/I4537092"]},{"raw_affiliation_string":"School of Information Science, Addis Ababa University, Addis Ababa, Ethiopia","institution_ids":["https://openalex.org/I4537092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6191,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94322192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9753000140190125,"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/T14319","display_name":"Currency Recognition and Detection","score":0.948199987411499,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228355169296265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6215240955352783},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5020909309387207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3507818281650543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3416252136230469}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228355169296265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6215240955352783},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5020909309387207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3507818281650543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3416252136230469}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ict4da56482.2022.9971300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ict4da56482.2022.9971300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Information and Communication Technology for Development for Africa (ICT4DA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"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":25,"referenced_works":["https://openalex.org/W1447417575","https://openalex.org/W1491541693","https://openalex.org/W1533856852","https://openalex.org/W1572592245","https://openalex.org/W2061744013","https://openalex.org/W2194775991","https://openalex.org/W2316704029","https://openalex.org/W2531146762","https://openalex.org/W2783616455","https://openalex.org/W2783847470","https://openalex.org/W2790979755","https://openalex.org/W2809612736","https://openalex.org/W2885735575","https://openalex.org/W2929572315","https://openalex.org/W2934868894","https://openalex.org/W2946016983","https://openalex.org/W3020836696","https://openalex.org/W4206685006","https://openalex.org/W6628671620","https://openalex.org/W6631859211","https://openalex.org/W6634460769","https://openalex.org/W6753517993","https://openalex.org/W6761337362","https://openalex.org/W6776884719","https://openalex.org/W6807022965"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Ethiopia":[0],"is":[1,18,62,107],"the":[2,13,21,26,42,46,121,150,154,216,220,229],"leading":[3],"coffee":[4,51,78],"exporter":[5],"in":[6,25],"Africa":[7],"which":[8,61],"accounts":[9],"for":[10,30,65,74,84],"22%":[11],"of":[12,20,50,93,128,156,169,178,186,219],"country\u2019s":[14],"commodity":[15],"exports.":[16],"Coffee":[17,221],"one":[19],"crucial":[22,83],"agricultural":[23,124],"product":[24],"global":[27],"economy,":[28],"particularly":[29],"Ethiopia.":[31],"However,":[32],"diseases":[33],"like":[34],"brown":[35,98],"eye":[36,99],"spot,":[37,100],"wilt,":[38,101],"and":[39,48,76,130,140,164,188,196],"rust":[40,103],"are":[41,211],"most":[43],"determinant":[44],"constraints":[45],"productivity":[47],"quality":[49],"export.":[52],"The":[53,199],"disease":[54,80,223],"detection":[55],"requires":[56],"specific":[57],"attention":[58],"from":[59,120,162,172],"professionals,":[60],"not":[63],"achievable":[64],"mass":[66],"production.":[67],"As":[68],"a":[69,90,94,97,111,176],"result,":[70],"an":[71],"autonomous":[72],"method":[73],"detecting":[75],"classifying":[77],"plant":[79],"become":[81],"very":[82],"better":[85,206],"productivity.":[86],"To":[87],"determine":[88],"whether":[89],"particular":[91],"image":[92,117],"leaf":[95,222],"has":[96],"or":[102,104],"if":[105],"it":[106],"healthy,":[108],"we":[109,159],"created":[110],"deep":[112],"learning":[113,166,182,193],"model":[114,202],"trained":[115],"with":[116],"dataset":[118],"collected":[119],"Wolaita":[122],"Sodo":[123],"research":[125],"center":[126],"consisting":[127],"1,120":[129],"augmentation":[131],"technique":[132],"also":[133],"applied":[134],"to":[135,148],"handle":[136],"data":[137,227],"over-fitting":[138],"problem":[139],"totally":[141],"3,360":[142],"images":[143],"were":[144],"used.":[145],"In":[146],"order":[147],"achieve":[149],"best":[151],"results":[152],"during":[153],"classification":[155,205],"such":[157],"diseases,":[158],"compared":[160],"training":[161,171],"scratch":[163,173],"transfer":[165,192],"techniques.":[167],"Because":[168],"this,":[170],"performs":[174,203],"at":[175],"rate":[177],"98.5%,":[179],"whereas":[180],"transfer-based":[181],"offers":[183],"accuracy":[184],"rates":[185],"97.01%":[187],"99.89%":[189],"when":[190],"employing":[191],"through":[194],"Mobilnet":[195],"Resnet50,":[197],"respectively.":[198],"pre-trained":[200,231],"Resnet50":[201],"picture":[204],"than":[207],"other":[208,217,230],"methods.":[209],"We":[210],"further":[212],"working":[213],"towards":[214],"considering":[215],"class":[218],"by":[224],"incorporating":[225],"additional":[226],"beside":[228],"models.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}
