{"id":"https://openalex.org/W7224540964","doi":"https://doi.org/10.1080/10942912.2026.2752334","title":"Non-destructive prediction of soluble solids content in kiwifruit using hyperspectral imaging and a multi-scale channel-attention network","display_name":"Non-destructive prediction of soluble solids content in kiwifruit using hyperspectral imaging and a multi-scale channel-attention network","publication_year":2026,"publication_date":"2026-10-29","ids":{"openalex":"https://openalex.org/W7224540964","doi":"https://doi.org/10.1080/10942912.2026.2752334"},"language":"en","primary_location":{"id":"doi:10.1080/10942912.2026.2752334","doi":"https://doi.org/10.1080/10942912.2026.2752334","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10942912.2026.2752334","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10942912.2026.2752334?needAccess=true","source":{"id":"https://openalex.org/S80488789","display_name":"International Journal of Food Properties","issn_l":"1094-2912","issn":["1094-2912","1532-2386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310315681","host_organization_name":"Marcel Dekker","host_organization_lineage":["https://openalex.org/P4310315681"],"host_organization_lineage_names":["Marcel Dekker"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Food Properties","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://www.tandfonline.com/doi/pdf/10.1080/10942912.2026.2752334?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139345060","display_name":"Wei Geng","orcid":"https://orcid.org/0009-0007-4581-4074","observed_orcids":["https://orcid.org/0009-0007-4581-4074"]},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Geng","raw_affiliation_strings":["Universities of Shaanxi Province","Xijing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universities of Shaanxi Province","institution_ids":[]},{"raw_affiliation_string":"Xijing University","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135179232","display_name":"Zuliang Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zuliang Wang","raw_affiliation_strings":["Universities of Shaanxi Province","Xijing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universities of Shaanxi Province","institution_ids":[]},{"raw_affiliation_string":"Xijing University","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458269","display_name":"Ting Zhang","orcid":"https://orcid.org/0000-0001-5967-0525","observed_orcids":["https://orcid.org/0000-0001-5967-0525"]},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["Universities of Shaanxi Province","Xijing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universities of Shaanxi Province","institution_ids":[]},{"raw_affiliation_string":"Xijing University","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093609971","display_name":"Xue Yanan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Xue","raw_affiliation_strings":["Universities of Shaanxi Province","Xijing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universities of Shaanxi Province","institution_ids":[]},{"raw_affiliation_string":"Xijing University","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090005685","display_name":"Yaguo Wang","orcid":"https://orcid.org/0000-0002-0448-5645","observed_orcids":["https://orcid.org/0000-0002-0448-5645"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaguo Wang","raw_affiliation_strings":["Shaanxi Bairui Kiwifruit Research Institute Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Bairui Kiwifruit Research Institute Co., Ltd","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5135179232"],"corresponding_institution_ids":["https://openalex.org/I4210162994"],"apc_list":{"value":1880,"currency":"GBP","value_usd":2306},"apc_paid":{"value":1880,"currency":"GBP","value_usd":2306},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72247278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":1.0,"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":1.0,"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/T10616","display_name":"Smart Agriculture and AI","score":0.0,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kiwifruit","display_name":"kiwifruit","score":0.9819999933242798},{"id":"https://openalex.org/keywords/soluble-solids-content","display_name":"soluble solids","score":0.9860000014305115},{"id":"https://openalex.org/keywords/non-destructive-quality-assessment","display_name":"non-destructive quality assessment","score":0.6909999847412109},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"hyperspectral imaging","score":0.984000027179718},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"near-infrared spectroscopy","score":0.8069999814033508},{"id":"https://openalex.org/keywords/multiscale-convolutional-neural-network","display_name":"multi-scale convolutional neural network","score":0.9440000057220459},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.6349999904632568},{"id":"https://openalex.org/keywords/spectral-spatial-feature-extraction","display_name":"spectral-spatial feature extraction","score":0.7649999856948853},{"id":"https://openalex.org/keywords/fruit-maturity","display_name":"fruit maturity","score":0.7580000162124634}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.953499972820282},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7921000123023987},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5939000248908997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5738000273704529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5516999959945679},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5467000007629395},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5185999870300293},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.51419997215271},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4828000068664551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4404999911785126},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3781000077724457},{"id":"https://openalex.org/C151304367","wikidata":"https://www.wikidata.org/wiki/Q910067","display_name":"Chemometrics","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35679998993873596},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C123419976","wikidata":"https://www.wikidata.org/wiki/Q1062158","display_name":"Refractometry","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.2621000111103058}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10942912.2026.2752334","doi":"https://doi.org/10.1080/10942912.2026.2752334","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10942912.2026.2752334","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10942912.2026.2752334?needAccess=true","source":{"id":"https://openalex.org/S80488789","display_name":"International Journal of Food Properties","issn_l":"1094-2912","issn":["1094-2912","1532-2386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310315681","host_organization_name":"Marcel Dekker","host_organization_lineage":["https://openalex.org/P4310315681"],"host_organization_lineage_names":["Marcel Dekker"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Food Properties","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5574b20b1748492bb022fd4e754702c1","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/5574b20b1748492bb022fd4e754702c1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Food Properties, Vol 29, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10942912.2026.2752334","doi":"https://doi.org/10.1080/10942912.2026.2752334","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10942912.2026.2752334","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10942912.2026.2752334?needAccess=true","source":{"id":"https://openalex.org/S80488789","display_name":"International Journal of Food Properties","issn_l":"1094-2912","issn":["1094-2912","1532-2386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310315681","host_organization_name":"Marcel Dekker","host_organization_lineage":["https://openalex.org/P4310315681"],"host_organization_lineage_names":["Marcel Dekker"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Food Properties","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.9208999872207642,"display_name":"Zero hunger"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1436740489","display_name":null,"funder_award_id":"25KGYB-00006","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G2557021284","display_name":null,"funder_award_id":"2025NC-YBXM-216","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G6040640809","display_name":null,"funder_award_id":"2025GH-YBXM-077","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320325627","display_name":"Education Department of Shaanxi Province","ror":"https://ror.org/00jb7xy46"},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224540964.pdf","grobid_xml":"https://content.openalex.org/works/W7224540964.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W854984980","https://openalex.org/W1535463566","https://openalex.org/W1686810756","https://openalex.org/W1969733293","https://openalex.org/W1969824989","https://openalex.org/W1980266419","https://openalex.org/W2001736287","https://openalex.org/W2029750610","https://openalex.org/W2091896282","https://openalex.org/W2097117768","https://openalex.org/W2113512686","https://openalex.org/W2194775991","https://openalex.org/W2295124130","https://openalex.org/W2322637055","https://openalex.org/W2468213734","https://openalex.org/W2531409750","https://openalex.org/W2604099671","https://openalex.org/W2791155143","https://openalex.org/W2795783309","https://openalex.org/W3014615384","https://openalex.org/W3034552520","https://openalex.org/W3092210528","https://openalex.org/W3106622610","https://openalex.org/W3167200346","https://openalex.org/W3182706339","https://openalex.org/W3199510749","https://openalex.org/W3201003397","https://openalex.org/W4206594064","https://openalex.org/W4210506817","https://openalex.org/W4281490706","https://openalex.org/W4285794683","https://openalex.org/W4319294053","https://openalex.org/W4377101215","https://openalex.org/W4380683302","https://openalex.org/W4383311344","https://openalex.org/W4390823176","https://openalex.org/W4391397967","https://openalex.org/W4391929826","https://openalex.org/W4393241094","https://openalex.org/W4398229792","https://openalex.org/W4399379803","https://openalex.org/W4400234044","https://openalex.org/W4402830979","https://openalex.org/W4407242250","https://openalex.org/W4408518444","https://openalex.org/W4409321747","https://openalex.org/W4409484815","https://openalex.org/W4410031875","https://openalex.org/W4416069262","https://openalex.org/W4416100460","https://openalex.org/W4416229734","https://openalex.org/W4416538565","https://openalex.org/W7169780580"],"related_works":["https://openalex.org/W2377303738","https://openalex.org/W4386371707","https://openalex.org/W4317036974","https://openalex.org/W7124263038","https://openalex.org/W1969824989","https://openalex.org/W7213924855","https://openalex.org/W4391397967","https://openalex.org/W4393925253","https://openalex.org/W2742200514","https://openalex.org/W4416100460"],"abstract_inverted_index":{"Soluble":[0],"solids":[1,67],"content":[2,68],"is":[3,22],"an":[4],"important":[5],"indicator":[6],"of":[7,43,65,74,90,127,131,159,189,191,200,210,219],"sweetness,":[8],"ripeness,":[9],"and":[10,21,39,80,98,136,151,176,205,229],"edible":[11],"quality":[12,232],"in":[13,48,69],"kiwifruit.":[14,71],"Conventional":[15],"refractometry":[16],"requires":[17],"destructive":[18],"sample":[19],"preparation":[20],"unsuitable":[23],"for":[24,61,227],"rapid":[25,228],"batch":[26],"inspection,":[27],"whereas":[28],"many":[29],"existing":[30],"spectral":[31,88],"modeling":[32],"methods":[33],"rely":[34],"mainly":[35],"on":[36],"mean":[37,197],"spectra":[38],"make":[40],"limited":[41],"use":[42],"the":[44,62,87,102,137,157,182,217],"spatial":[45],"information":[46,174],"contained":[47],"hyperspectral":[49,56,82,104,220],"images.":[50],"Therefore,":[51],"this":[52,180],"study":[53],"developed":[54,120],"a":[55,170,186,195,206],"imaging-based":[57],"deep":[58],"learning":[59,226],"framework":[60],"nondestructive":[63,230],"prediction":[64,164],"soluble":[66],"\u201cXuxiang\u201d":[70],"A":[72,111],"total":[73],"400":[75],"mature":[76],"fruits":[77],"were":[78,84,106],"collected,":[79],"near-infrared":[81],"images":[83,105],"acquired":[85],"over":[86],"range":[89],"900\u20131700":[91],"nm.":[92],"Following":[93],"image":[94],"calibration,":[95],"region-of-interest":[96],"extraction,":[97],"principal":[99,132,161],"component":[100],"analysis,":[101],"reduced":[103],"used":[107],"as":[108],"model":[109],"inputs.":[110],"lightweight":[112],"multi-scale":[113,224],"channel-attention":[114,225],"two-dimensional":[115],"convolutional":[116],"neural":[117],"network":[118,139,184],"was":[119,134,140],"to":[121],"extract":[122],"spatial\u2013spectral":[123],"features.":[124],"The":[125,153],"influence":[126],"retaining":[128],"different":[129],"numbers":[130],"components":[133,162,168],"evaluated,":[135],"proposed":[138,183],"compared":[141],"with":[142,166,223],"partial":[143],"least":[144],"squares":[145],"regression,":[146,149],"support":[147],"vector":[148],"ResNet50,":[150],"VGGNet.":[152],"results":[154],"showed":[155],"that":[156],"number":[158],"retained":[160],"affected":[163],"performance,":[165],"15":[167],"providing":[169],"suitable":[171],"balance":[172],"between":[173],"preservation":[175],"redundancy":[177],"reduction.":[178],"Under":[179],"setting,":[181],"achieved":[185],"testing":[187],"coefficient":[188],"determination":[190],"0.9714":[192],"\u00b1":[193,202,212],"0.0054,":[194],"root":[196],"square":[198],"error":[199],"0.3305":[201],"0.0682":[203],"Brix,":[204],"residual":[207],"predictive":[208],"deviation":[209],"5.9695":[211],"0.5221.":[213],"These":[214],"findings":[215],"demonstrate":[216],"potential":[218],"imaging":[221],"combined":[222],"kiwifruit":[231],"evaluation.":[233]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-30T00:00:00"}