{"id":"https://openalex.org/W7224086404","doi":"https://doi.org/10.3390/agriengineering8110459","title":"Reproducible Machine Learning for Banana Postharvest Quality Assessment: Data Provenance, Statistical Inference, and Accuracy Efficiency Trade-Offs","display_name":"Reproducible Machine Learning for Banana Postharvest Quality Assessment: Data Provenance, Statistical Inference, and Accuracy Efficiency Trade-Offs","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224086404","doi":"https://doi.org/10.3390/agriengineering8110459"},"language":"en","primary_location":{"id":"doi:10.3390/agriengineering8110459","doi":"https://doi.org/10.3390/agriengineering8110459","is_oa":true,"landing_page_url":"https://doi.org/10.3390/agriengineering8110459","pdf_url":null,"source":{"id":"https://openalex.org/S4210177564","display_name":"AgriEngineering","issn_l":"2624-7402","issn":["2624-7402"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AgriEngineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/agriengineering8110459","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084426682","display_name":"Jhonny Darwin Ortiz-Mata","orcid":"https://orcid.org/0000-0003-0466-4093","observed_orcids":["https://orcid.org/0000-0003-0466-4093"]},"institutions":[{"id":"https://openalex.org/I4210090927","display_name":"Universidad Estatal de Milagro","ror":"https://ror.org/00gd7ns03","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210090927"]}],"countries":["EC"],"is_corresponding":true,"raw_author_name":"Jhonny Darwin Ortiz-Mata","raw_affiliation_strings":["Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador"],"raw_orcid":"https://orcid.org/0000-0003-0466-4093","affiliations":[{"raw_affiliation_string":"Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador","institution_ids":["https://openalex.org/I4210090927"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000394270","display_name":"Mart\u00edn Mu\u00f1oz-Salcedo","orcid":"https://orcid.org/0000-0002-0020-2329","observed_orcids":["https://orcid.org/0000-0002-0020-2329"]},"institutions":[{"id":"https://openalex.org/I4210090927","display_name":"Universidad Estatal de Milagro","ror":"https://ror.org/00gd7ns03","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210090927"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Mart\u00edn Mu\u00f1oz-Salcedo","raw_affiliation_strings":["Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador"],"raw_orcid":"https://orcid.org/0000-0002-0020-2329","affiliations":[{"raw_affiliation_string":"Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador","institution_ids":["https://openalex.org/I4210090927"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064649013","display_name":"Jos\u00e9 Luis Saquinaula Brito","orcid":"https://orcid.org/0000-0003-2080-2548","observed_orcids":["https://orcid.org/0000-0003-2080-2548"]},"institutions":[{"id":"https://openalex.org/I4210090927","display_name":"Universidad Estatal de Milagro","ror":"https://ror.org/00gd7ns03","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210090927"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 L. Saquinaula-Brito","raw_affiliation_strings":["Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador"],"raw_orcid":"https://orcid.org/0000-0003-2080-2548","affiliations":[{"raw_affiliation_string":"Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador","institution_ids":["https://openalex.org/I4210090927"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160048928","display_name":"Xiomara Jael Oleas-V\u00e9lez","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210090927","display_name":"Universidad Estatal de Milagro","ror":"https://ror.org/00gd7ns03","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210090927"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Xiomara Jael Oleas-V\u00e9lez","raw_affiliation_strings":["Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador","institution_ids":["https://openalex.org/I4210090927"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5159989541","display_name":"Milca Roxana Toledo-Moncerrate","orcid":"https://orcid.org/0009-0000-1467-9630","observed_orcids":["https://orcid.org/0009-0000-1467-9630"]},"institutions":[{"id":"https://openalex.org/I4210090927","display_name":"Universidad Estatal de Milagro","ror":"https://ror.org/00gd7ns03","country_code":"EC","type":"education","lineage":["https://openalex.org/I4210090927"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Milca Roxana Toledo-Moncerrate","raw_affiliation_strings":["Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador"],"raw_orcid":"https://orcid.org/0009-0000-1467-9630","affiliations":[{"raw_affiliation_string":"Facultad de Ciencias e Ingenier\u00eda, Universidad Estatal de Milagro, Milagro 091050, Ecuador","institution_ids":["https://openalex.org/I4210090927"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084426682"],"corresponding_institution_ids":["https://openalex.org/I4210090927"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1930},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1930},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80061398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"11","first_page":"459","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9365000128746033,"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":0.9365000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.053199999034404755,"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"}},{"id":"https://openalex.org/T10473","display_name":"Postharvest Quality and Shelf Life Management","score":0.0026000000070780516,"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/banana-ripeness-classification","display_name":"banana ripeness classification","score":0.8130000233650208},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.7870000004768372},{"id":"https://openalex.org/keywords/data-provenance","display_name":"data provenance","score":0.9200000166893005},{"id":"https://openalex.org/keywords/benchmarking","display_name":"benchmarking","score":0.4819999933242798},{"id":"https://openalex.org/keywords/mcnemar-test","display_name":"McNemar test","score":0.6690000295639038},{"id":"https://openalex.org/keywords/equivalence-testing","display_name":"equivalence testing","score":0.8989999890327454},{"id":"https://openalex.org/keywords/pareto-analysis","display_name":"Pareto analysis","score":0.7739999890327454},{"id":"https://openalex.org/keywords/model-efficiency","display_name":"model efficiency","score":0.5130000114440918},{"id":"https://openalex.org/keywords/lightweight-models","display_name":"lightweight models","score":0.5559999942779541},{"id":"https://openalex.org/keywords/yolo","display_name":"YOLO","score":0.7459999918937683},{"id":"https://openalex.org/keywords/rt-detr","display_name":"RT-DETR","score":0.718999981880188},{"id":"https://openalex.org/keywords/efficientnet-b0","display_name":"EfficientNetB0","score":0.734000027179718},{"id":"https://openalex.org/keywords/generalization","display_name":"generalization","score":0.5139999985694885},{"id":"https://openalex.org/keywords/accuracy-efficiency-trade-off","display_name":"accuracy-efficiency trade-off","score":0.6340000033378601}],"concepts":[{"id":"https://openalex.org/C186282968","wikidata":"https://www.wikidata.org/wiki/Q1434261","display_name":"McNemar's test","level":2,"score":0.6531000137329102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5128999948501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5076000094413757},{"id":"https://openalex.org/C157670687","wikidata":"https://www.wikidata.org/wiki/Q426933","display_name":"Postharvest","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45840001106262207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43160000443458557},{"id":"https://openalex.org/C2777548347","wikidata":"https://www.wikidata.org/wiki/Q5456937","display_name":"Flagging","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35530000925064087},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2780393073","wikidata":"https://www.wikidata.org/wiki/Q7335586","display_name":"Ripeness","level":3,"score":0.25130000710487366},{"id":"https://openalex.org/C44648626","wikidata":"https://www.wikidata.org/wiki/Q1049848","display_name":"Percentage point","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/agriengineering8110459","doi":"https://doi.org/10.3390/agriengineering8110459","is_oa":true,"landing_page_url":"https://doi.org/10.3390/agriengineering8110459","pdf_url":null,"source":{"id":"https://openalex.org/S4210177564","display_name":"AgriEngineering","issn_l":"2624-7402","issn":["2624-7402"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AgriEngineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/agriengineering8110459","doi":"https://doi.org/10.3390/agriengineering8110459","is_oa":true,"landing_page_url":"https://doi.org/10.3390/agriengineering8110459","pdf_url":null,"source":{"id":"https://openalex.org/S4210177564","display_name":"AgriEngineering","issn_l":"2624-7402","issn":["2624-7402"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AgriEngineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9208999872207642,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2531409750","https://openalex.org/W2807383083","https://openalex.org/W2944779197","https://openalex.org/W3043995050","https://openalex.org/W3106889297","https://openalex.org/W3157831531","https://openalex.org/W3177467668","https://openalex.org/W3185535538","https://openalex.org/W4200552471","https://openalex.org/W4221078001","https://openalex.org/W4226323522","https://openalex.org/W4295066746","https://openalex.org/W4313894588","https://openalex.org/W4318570560","https://openalex.org/W4328129304","https://openalex.org/W4377115453","https://openalex.org/W4379046652","https://openalex.org/W4385576721","https://openalex.org/W4389221089","https://openalex.org/W4392741075","https://openalex.org/W4394845101","https://openalex.org/W4399966132","https://openalex.org/W4401610093","https://openalex.org/W4402754006","https://openalex.org/W4403770406","https://openalex.org/W4404863449","https://openalex.org/W4405613724","https://openalex.org/W4405975491","https://openalex.org/W4406263521","https://openalex.org/W4406658651","https://openalex.org/W4407156708","https://openalex.org/W4407370146","https://openalex.org/W4408004476","https://openalex.org/W4408822691","https://openalex.org/W4409814068","https://openalex.org/W4410726277","https://openalex.org/W4411562662","https://openalex.org/W4412358219","https://openalex.org/W4412569947","https://openalex.org/W4413168543","https://openalex.org/W4413682517","https://openalex.org/W4415795831","https://openalex.org/W4416142730","https://openalex.org/W7203481173"],"related_works":["https://openalex.org/W6885423737","https://openalex.org/W7217311383","https://openalex.org/W4394845101","https://openalex.org/W7160400787","https://openalex.org/W7124699032","https://openalex.org/W4318217666","https://openalex.org/W4398194671","https://openalex.org/W7131637156","https://openalex.org/W7214391289","https://openalex.org/W7089463913"],"abstract_inverted_index":{"Reported":[0],"accuracies":[1],"for":[2,35],"banana":[3,37],"ripeness":[4],"recognition":[5],"are":[6,22],"high":[7],"but":[8,175],"rarely":[9],"comparable,":[10],"because":[11],"public":[12],"releases":[13],"mix":[14],"source":[15],"images":[16,165],"with":[17,83,104,111,141],"augmented":[18],"exports":[19],"and":[20,47,49,64,70,101,114,116,128,145,195],"results":[21],"usually":[23],"given":[24],"as":[25],"point":[26],"estimates.":[27],"This":[28],"study":[29],"proposes":[30],"a":[31,61,79,93,107],"reproducible,":[32],"task-separated":[33],"benchmark":[34],"visual":[36],"postharvest":[38],"quality":[39],"assessment.":[40],"Eight":[41],"classifiers,":[42],"including":[43],"the":[44,55,73,87,90,121,167],"compact":[45],"MicroNet_Banana":[46,138],"lightweight":[48,135],"transformer-based":[50],"models,":[51,136],"were":[52,154],"evaluated":[53],"on":[54,72,86,177],"official":[56,74],"562-image":[57],"test":[58,76,164],"split":[59,77],"of":[60,78],"classification":[62],"release,":[63,89],"six":[65],"detectors":[66,151],"(five":[67],"YOLO":[68,150],"variants":[69],"RT-DETR-L)":[71],"757-image":[75],"detection":[80],"release.":[81],"Compared":[82],"previous":[84],"work":[85],"same":[88],"framework":[91],"adds":[92],"provenance":[94],"audit,":[95],"hash-based":[96],"split-independence":[97],"checks,":[98],"paired":[99],"McNemar":[100],"equivalence":[102],"tests":[103],"Holm":[105],"adjustment,":[106],"standardized":[108],"efficiency":[109],"protocol":[110],"Pareto":[112],"analysis,":[113],"external":[115],"cross-source":[117],"validation.":[118],"EfficientNet-B0":[119],"achieved":[120],"highest":[122],"accuracy":[123,168,176],"(99.47%;":[124],"95%":[125],"CI:":[126],"98.44\u201399.82%)":[127],"was":[129,159],"practically":[130,155],"equivalent":[131],"to":[132,182],"three":[133],"other":[134],"whereas":[137,157],"reached":[139],"94.66%":[140],"0.41":[142],"M":[143],"parameters":[144],"7.65":[146],"ms":[147],"latency.":[148],"The":[149],"(94.85\u201395.36%":[152],"mAP@50)":[153],"equivalent,":[156],"RT-DETR-L":[158],"lower":[160],"(93.36%).":[161],"Removing":[162],"near-duplicate":[163],"changed":[166],"by":[169],"less":[170],"than":[171],"0.9":[172],"percentage":[173],"points,":[174],"an":[178],"independent":[179],"dataset":[180],"fell":[181],"32.8\u201361.7%.":[183],"Model":[184],"selection":[185],"should":[186],"therefore":[187],"jointly":[188],"consider":[189],"accuracy,":[190],"uncertainty,":[191],"data":[192],"provenance,":[193],"generalization,":[194],"computational":[196],"cost.":[197]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2026-10-29T00:00:00"}
