{"id":"https://openalex.org/W3114681304","doi":"https://doi.org/10.1109/tencon50793.2020.9293743","title":"Tomato Septoria Leaf Spot Necrotic and Chlorotic Regions Computational Assessment Using Artificial Bee Colony-Optimized Leaf Disease Index","display_name":"Tomato Septoria Leaf Spot Necrotic and Chlorotic Regions Computational Assessment Using Artificial Bee Colony-Optimized Leaf Disease Index","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3114681304","doi":"https://doi.org/10.1109/tencon50793.2020.9293743","mag":"3114681304"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5014017066","display_name":"Ronnie Concepcion","orcid":"https://orcid.org/0000-0002-7611-1562"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Ronnie Concepcion","raw_affiliation_strings":["Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057462449","display_name":"Sandy Lauguico","orcid":"https://orcid.org/0000-0003-0102-3696"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Sandy Lauguico","raw_affiliation_strings":["Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027440897","display_name":"Elmer P. Dadios","orcid":"https://orcid.org/0000-0002-5751-389X"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Elmer Dadios","raw_affiliation_strings":["Manufacturing Engineering and Management Department, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Manufacturing Engineering and Management Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084335648","display_name":"Argel A. Bandala","orcid":"https://orcid.org/0000-0002-3568-4858"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Argel Bandala","raw_affiliation_strings":["Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007121660","display_name":"Edwin Sybingco","orcid":"https://orcid.org/0000-0003-1296-3616"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Edwin Sybingco","raw_affiliation_strings":["Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033971715","display_name":"Jonnel Alejandrino","orcid":"https://orcid.org/0000-0002-4877-4625"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Jonnel Alejandrino","raw_affiliation_strings":["Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014017066"],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":5.2881,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95138368,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1243","last_page":"1248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9966999888420105,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9966999888420105,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9957000017166138,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/septoria","display_name":"Septoria","score":0.8010696172714233},{"id":"https://openalex.org/keywords/leaf-spot","display_name":"Leaf spot","score":0.7050604820251465},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6289377212524414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6025260090827942},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4617561995983124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3899326026439667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3812200427055359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37693777680397034},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.372622013092041},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.36091479659080505},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.3380969762802124}],"concepts":[{"id":"https://openalex.org/C2776008901","wikidata":"https://www.wikidata.org/wiki/Q310475","display_name":"Septoria","level":2,"score":0.8010696172714233},{"id":"https://openalex.org/C2780034373","wikidata":"https://www.wikidata.org/wiki/Q6508875","display_name":"Leaf spot","level":2,"score":0.7050604820251465},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6289377212524414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6025260090827942},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4617561995983124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3899326026439667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3812200427055359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37693777680397034},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.372622013092041},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.36091479659080505},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.3380969762802124}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2051419256","https://openalex.org/W2085613837","https://openalex.org/W2169064301","https://openalex.org/W2557371538","https://openalex.org/W2609151886","https://openalex.org/W2789107426","https://openalex.org/W2795127440","https://openalex.org/W2904583950","https://openalex.org/W2955193236","https://openalex.org/W2968605913","https://openalex.org/W2969591642","https://openalex.org/W2970561829","https://openalex.org/W2977322479","https://openalex.org/W2980262908","https://openalex.org/W3028481475","https://openalex.org/W3089189545","https://openalex.org/W4248770365","https://openalex.org/W6749742744","https://openalex.org/W6766704772"],"related_works":["https://openalex.org/W4361298334","https://openalex.org/W2113303048","https://openalex.org/W229063823","https://openalex.org/W1999063422","https://openalex.org/W2049253167","https://openalex.org/W2347893446","https://openalex.org/W2268198516","https://openalex.org/W1832639914","https://openalex.org/W2246974814","https://openalex.org/W2590991876"],"abstract_inverted_index":{"Visual":[0],"inspection":[1],"of":[2,17,31,34,59,185,226,235],"plant":[3,45],"health":[4],"status":[5],"and":[6,19,28,46,62,71,79,99,114,148,151,161,175,198,207,213,224,237],"disease":[7,132,182],"severity":[8],"may":[9],"yield":[10],"subjective":[11],"assessments":[12],"due":[13,38],"to":[14,39,119,125,155,164,243],"error-prone":[15],"sphere":[16],"colors":[18],"textures":[20],"as":[21],"affected":[22],"by":[23,143],"angular":[24],"photosynthetic":[25],"light":[26],"source":[27],"the":[29,53,57,107,121,199],"complexity":[30],"chlorosis.":[32],"Quantification":[33],"damages":[35],"on":[36],"leaves":[37,82],"destructive":[40],"diseases":[41],"is":[42,56],"paramount":[43],"for":[44,65,251],"pathogen":[47],"interactions.":[48],"To":[49],"address":[50],"this":[51],"challenge,":[52],"proposed":[54],"solution":[55],"integration":[58],"computer":[60],"vision":[61],"computational":[63,74],"intelligence":[64],"tomato":[66,81,130],"Septoria":[67,157,180,227],"leaf":[68,131,158,181,196,220],"spot":[69],"necrotic":[70],"chlorotic":[72],"region":[73,222],"assessment.":[75],"Dataset":[76],"contains":[77],"healthy":[78,165],"diseased":[80,221],"that":[83],"were":[84,104,117],"captured":[85],"individually.":[86],"Non-vegetation":[87],"pixels":[88,160],"removal":[89],"was":[90,141,191],"done":[91],"using":[92,136,193,248],"CIELab":[93],"color":[94,97],"space.":[95],"RGB":[96],"components":[98],"five":[100],"Haralick":[101],"texture":[102],"features":[103],"extracted":[105],"from":[106],"segmented":[108],"leaf.":[109],"Hybrid":[110],"neighborhood":[111],"component":[112],"analysis":[113,174],"ReliefF":[115],"algorithm":[116],"employed":[118],"select":[120],"important":[122],"predictors":[123],"resulting":[124],"RGB-entropy":[126],"vector.":[127],"A":[128],"new":[129],"index":[133],"(tomLDI)":[134],"optimized":[135],"artificial":[137],"bee":[138],"colony":[139],"(ABC)":[140],"developed":[142],"normalizing":[144],"visible":[145],"red":[146],"reflectance,":[147],"introducing":[149],"red-green":[150],"red-blue":[152],"reflectance":[153],"ratios":[154],"enhance":[156],"spots":[159,228],"reducing":[162],"sensitivity":[163],"green":[166],"pixels.":[167],"KNN":[168],"bested":[169,215],"classification":[170],"tree,":[171],"linear":[172],"discriminant":[173],"Na\u00efve":[176],"Bayes":[177],"in":[178,218],"detecting":[179],"with":[183,229],"accuracy":[184],"97.46%.":[186],"Deep":[187],"transfer":[188],"image":[189],"regression":[190],"tested":[192],"raw":[194,249],"infected":[195],"images":[197,250],"tomLDI":[200,210,240],"transformed":[201],"colored":[202],"channels":[203],"through":[204],"MobileNetV2,":[205],"ResNet101":[206,214],"InceptionV3.":[208],"Using":[209],"channel,":[211],"MobileNetV2":[212],"other":[216],"networks":[217],"estimating":[219],"percentage":[223],"number":[225],"R":[230],"<sup":[231],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[232],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[233],"values":[234],"0.9930":[236],"0.9484":[238],"respectively.":[239],"channel":[241],"proved":[242],"be":[244],"more":[245],"accurate":[246],"than":[247],"regression.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}