{"id":"https://openalex.org/W4368227387","doi":"https://doi.org/10.1109/iccae56788.2023.10111204","title":"Determination of Sugar Apple Ripeness via Image Processing Using Convolutional Neural Network","display_name":"Determination of Sugar Apple Ripeness via Image Processing Using Convolutional Neural Network","publication_year":2023,"publication_date":"2023-03-03","ids":{"openalex":"https://openalex.org/W4368227387","doi":"https://doi.org/10.1109/iccae56788.2023.10111204"},"language":"en","primary_location":{"id":"doi:10.1109/iccae56788.2023.10111204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccae56788.2023.10111204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","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/A5043185219","display_name":"Rhys B. Sanchez","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rhys B. Sanchez","raw_affiliation_strings":["Mapúa University,School of Electrical, Electronics, and Computer Engineering,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"Mapúa University,School of Electrical, Electronics, and Computer Engineering,Manila,Philippines","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091528570","display_name":"Jose Angelo C. Esteves","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Angelo C. Esteves","raw_affiliation_strings":["Mapúa University,School of Electrical, Electronics, and Computer Engineering,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"Mapúa University,School of Electrical, Electronics, and Computer Engineering,Manila,Philippines","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071832341","display_name":"Noel B. Linsangan","orcid":"https://orcid.org/0000-0002-6256-4798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noel B. Linsangan","raw_affiliation_strings":["Mapúa University,School of Electrical, Electronics, and Computer Engineering,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"Mapúa University,School of Electrical, Electronics, and Computer Engineering,Manila,Philippines","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043185219"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.3456,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96513032,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"333","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9977999925613403,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.975600004196167,"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/ripeness","display_name":"Ripeness","score":0.9967653751373291},{"id":"https://openalex.org/keywords/sugar","display_name":"Sugar","score":0.8436388969421387},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6577235460281372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5787646174430847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5025055408477783},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.49475425481796265},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45545142889022827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3480805456638336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3442356586456299},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26562702655792236},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.20156431198120117},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.090233713388443},{"id":"https://openalex.org/keywords/ripening","display_name":"Ripening","score":0.06115204095840454}],"concepts":[{"id":"https://openalex.org/C2780393073","wikidata":"https://www.wikidata.org/wiki/Q7335586","display_name":"Ripeness","level":3,"score":0.9967653751373291},{"id":"https://openalex.org/C2777108408","wikidata":"https://www.wikidata.org/wiki/Q11002","display_name":"Sugar","level":2,"score":0.8436388969421387},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6577235460281372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5787646174430847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5025055408477783},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.49475425481796265},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45545142889022827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3480805456638336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3442356586456299},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26562702655792236},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.20156431198120117},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.090233713388443},{"id":"https://openalex.org/C172353545","wikidata":"https://www.wikidata.org/wiki/Q2121926","display_name":"Ripening","level":2,"score":0.06115204095840454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccae56788.2023.10111204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccae56788.2023.10111204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Computer and Automation Engineering (ICCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1561568458","https://openalex.org/W2785544038","https://openalex.org/W2792589597","https://openalex.org/W2798727871","https://openalex.org/W2808242482","https://openalex.org/W2899117618","https://openalex.org/W2921363453","https://openalex.org/W2921825282","https://openalex.org/W2970866748","https://openalex.org/W2999242668","https://openalex.org/W3003917364","https://openalex.org/W3006448103","https://openalex.org/W3020362460","https://openalex.org/W3020708390","https://openalex.org/W3022794438","https://openalex.org/W3029956042","https://openalex.org/W3126874695","https://openalex.org/W3154383190","https://openalex.org/W3155511079","https://openalex.org/W3158768070","https://openalex.org/W3160565250","https://openalex.org/W3161647355","https://openalex.org/W3196064940","https://openalex.org/W3205264775","https://openalex.org/W3215139247","https://openalex.org/W4226533589"],"related_works":["https://openalex.org/W2395543297","https://openalex.org/W2163911526","https://openalex.org/W2320112513","https://openalex.org/W2012057384","https://openalex.org/W2189509717","https://openalex.org/W4385413143","https://openalex.org/W3162834845","https://openalex.org/W2729298216","https://openalex.org/W4210897843","https://openalex.org/W2522789803"],"abstract_inverted_index":{"One":[0],"type":[1],"of":[2,55,81,100,107,131,140,155,162],"fruit":[3,64],"that":[4,97,119],"is":[5,11,16,75,111,122],"seasonally":[6],"available":[7],"in":[8,90,103,143,157],"the":[9,12,53,61,79,87,91,98,105,108,117,120,128,132,137,141,147,159],"Philippines":[10],"sugar":[13,25,56,62,83,109,163],"apple":[14,63,84,110],"which":[15,58,74],"known":[17],"as":[18],"\"Atis.\"":[19],"Specifically,":[20],"no":[21],"technological":[22],"advancements":[23],"regarding":[24],"apples":[26,32,164],"ripeness":[27,39,54,88,106,160],"classification":[28,89],"are":[29,33],"created.":[30],"Sugar":[31],"manually":[34],"separated":[35],"based":[36,115],"on":[37,45,116],"their":[38],"when":[40,134],"harvested.":[41],"This":[42],"research":[43],"focuses":[44],"using":[46,165],"image":[47,80,92,101,145],"processing":[48,102],"through":[49],"CNN":[50],"to":[51,77,124,136,151],"determine":[52,86],"apples,":[57],"will":[59],"benefit":[60],"farmers":[65],"and":[66,85,113],"harvesters.":[67],"The":[68,94],"researchers":[69,95,148],"created":[70],"a":[71,82],"machine":[72,121],"prototype":[73],"able":[76,150],"capture":[78],"detected.":[93],"found":[96],"use":[99],"determining":[104,158],"adequate":[112],"accurate":[114],"datasets":[118],"trained":[123],"recognize.":[125],"Looking":[126],"at":[127],"gathered":[129],"results":[130],"images":[133],"compared":[135],"manual":[138],"inspection":[139],"harvesters":[142],"each":[144],"taken,":[146],"were":[149],"achieve":[152],"an":[153],"accuracy":[154],"86.84%":[156],"level":[161],"convolutional":[166],"neural":[167],"network.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}