{"id":"https://openalex.org/W2946073921","doi":"https://doi.org/10.1109/wpmc.2018.8713088","title":"Non-destructive Grading of Pattavia Pineapple using Texture Analysis","display_name":"Non-destructive Grading of Pattavia Pineapple using Texture Analysis","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2946073921","doi":"https://doi.org/10.1109/wpmc.2018.8713088","mag":"2946073921"},"language":"en","primary_location":{"id":"doi:10.1109/wpmc.2018.8713088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpmc.2018.8713088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Symposium on Wireless Personal Multimedia Communications (WPMC)","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/A5005342687","display_name":"Kwankamon Dittakan","orcid":"https://orcid.org/0000-0002-0097-8610"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kwankamon Dittakan","raw_affiliation_strings":["College of Computing, Prince of Songkla University, Phuket, Thailand","College of Computing, Prince of Songkla University, Phuket, Thailand#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand","institution_ids":["https://openalex.org/I131868736"]},{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand#TAB#","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070708809","display_name":"Nawanol Theera-Ampornpunt","orcid":"https://orcid.org/0000-0002-7594-8061"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nawanol Theera-Ampornpunt","raw_affiliation_strings":["College of Computing, Prince of Songkla University, Phuket, Thailand","College of Computing, Prince of Songkla University, Phuket, Thailand#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand","institution_ids":["https://openalex.org/I131868736"]},{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand#TAB#","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029730092","display_name":"Pattaporn Boodliam","orcid":null},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pattaporn Boodliam","raw_affiliation_strings":["College of Computing, Prince of Songkla University, Phuket, Thailand","College of Computing, Prince of Songkla University, Phuket, Thailand#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand","institution_ids":["https://openalex.org/I131868736"]},{"raw_affiliation_string":"College of Computing, Prince of Songkla University, Phuket, Thailand#TAB#","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I131868736"],"apc_list":null,"apc_paid":null,"fwci":3.7976,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93251029,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983000159263611,"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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food 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":0.961899995803833,"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/sweetness","display_name":"Sweetness","score":0.8381589651107788},{"id":"https://openalex.org/keywords/cultivar","display_name":"Cultivar","score":0.610069215297699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5046428442001343},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.46706658601760864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4591817557811737},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.4501058757305145},{"id":"https://openalex.org/keywords/taste","display_name":"Taste","score":0.3930851221084595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36606264114379883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36172181367874146},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.28154027462005615},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.2594091594219208},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1784668266773224},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14342138171195984},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11410284042358398}],"concepts":[{"id":"https://openalex.org/C2779476700","wikidata":"https://www.wikidata.org/wiki/Q460453","display_name":"Sweetness","level":3,"score":0.8381589651107788},{"id":"https://openalex.org/C197321923","wikidata":"https://www.wikidata.org/wiki/Q4886","display_name":"Cultivar","level":2,"score":0.610069215297699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5046428442001343},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.46706658601760864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4591817557811737},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.4501058757305145},{"id":"https://openalex.org/C8868529","wikidata":"https://www.wikidata.org/wiki/Q124794","display_name":"Taste","level":2,"score":0.3930851221084595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36606264114379883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36172181367874146},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.28154027462005615},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.2594091594219208},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1784668266773224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14342138171195984},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11410284042358398},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wpmc.2018.8713088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpmc.2018.8713088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Symposium on Wireless Personal Multimedia Communications (WPMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322692","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W230414616","https://openalex.org/W1545641654","https://openalex.org/W1570448133","https://openalex.org/W1596088102","https://openalex.org/W2018104743","https://openalex.org/W2091290950","https://openalex.org/W2096634291","https://openalex.org/W2097290407","https://openalex.org/W2100668766","https://openalex.org/W2118520098","https://openalex.org/W2150207368","https://openalex.org/W2151110655","https://openalex.org/W2158883321","https://openalex.org/W2163539815","https://openalex.org/W2163808566","https://openalex.org/W2253253633","https://openalex.org/W2337562495","https://openalex.org/W2521925870","https://openalex.org/W2540924809","https://openalex.org/W6682665505"],"related_works":["https://openalex.org/W2080569495","https://openalex.org/W39346000","https://openalex.org/W3196135651","https://openalex.org/W1993646413","https://openalex.org/W1975733106","https://openalex.org/W3146486293","https://openalex.org/W2326418441","https://openalex.org/W2623240653","https://openalex.org/W2428252480","https://openalex.org/W2316647780"],"abstract_inverted_index":{"Pineapple":[0],"is":[1,20,79,84,93,108,123],"a":[2,21],"tropical":[3],"fruit":[4],"with":[5,140],"many":[6,36],"cultivars":[7],"in":[8,24,35,38],"Thailand":[9,25],"such":[10],"as":[11],"Pattavia,":[12],"Intarachit,":[13],"Phuket,":[14],"Nang-Lea":[15],"and":[16,53,61],"Phu-Lea.":[17],"Pattavia":[18,42,74],"pineapple":[19,43,75,113,130],"popular":[22],"cultivar":[23],"because":[26],"of":[27,73,129,144],"its":[28],"good":[29],"taste":[30],"which":[31,91],"can":[32,44],"be":[33,45],"planted":[34],"areas":[37],"Thailand.":[39],"The":[40,81,104,133],"fresh":[41],"classified":[46],"into":[47],"two":[48],"grades:":[49],"(i)":[50],"Keaw":[51,55,98,101],"1":[52,99],"(ii)":[54],"2":[56,102],"depending":[57],"on":[58],"their":[59],"sweetness":[60],"juiciness.":[62],"In":[63],"this":[64],"paper,":[65],"an":[66],"automated":[67],"mechanism":[68,107],"to":[69,85,90,95,110,125],"classify":[70],"the":[71,87,112,137],"grade":[72],"by":[76],"non-destructive":[77],"process":[78],"proposed.":[80],"fundamental":[82],"idea":[83],"construct":[86],"classification":[88],"model":[89,135],"it":[92],"able":[94],"distinguish":[96],"between":[97],"or":[100],"images.":[103],"texture":[105,121,131],"analysis":[106,111],"suggested":[109,124],"skin.":[114],"More":[115],"specifically,":[116],"Local":[117],"Binary":[118],"Pattern":[119],"(LBP)":[120],"descriptor":[122],"obtain":[126],"key":[127],"information":[128],"image.":[132],"best":[134],"produced":[136],"excellent":[138],"results":[139],"recorded":[141],"AUC":[142],"value":[143],"0.979.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}