{"id":"https://openalex.org/W4416142730","doi":"https://doi.org/10.1186/s40537-025-01296-2","title":"Artificial intelligence advances for cashew fruit maturity and quality detection: a systematic review on models, sensors, and farming applications","display_name":"Artificial intelligence advances for cashew fruit maturity and quality detection: a systematic review on models, sensors, and farming applications","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416142730","doi":"https://doi.org/10.1186/s40537-025-01296-2"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01296-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01296-2","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01296-2","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01296-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120395511","display_name":"Lindsey Colaco","orcid":null},"institutions":[{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Lindsey Colaco","raw_affiliation_strings":["Symbiosis Institute of Technology, Pune, Campus, Symbiosis International (Deemed University), Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Symbiosis Institute of Technology, Pune, Campus, Symbiosis International (Deemed University), Pune, India","institution_ids":["https://openalex.org/I244572783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063250428","display_name":"Pooja Kamat","orcid":"https://orcid.org/0000-0002-7597-0197"},"institutions":[{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pooja Kamat","raw_affiliation_strings":["Symbiosis Institute of Technology, Pune, Campus, Symbiosis International (Deemed University), Pune, India"],"raw_orcid":"https://orcid.org/0000-0002-7597-0197","affiliations":[{"raw_affiliation_string":"Symbiosis Institute of Technology, Pune, Campus, Symbiosis International (Deemed University), Pune, India","institution_ids":["https://openalex.org/I244572783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5120395511"],"corresponding_institution_ids":["https://openalex.org/I244572783"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":1.5401,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87434947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.8101999759674072,"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":0.8101999759674072,"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":0.053300000727176666,"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/T12660","display_name":"Plant Disease Management Techniques","score":0.02630000002682209,"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/agriculture","display_name":"Agriculture","score":0.5939000248908997},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5552999973297119},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.5218999981880188},{"id":"https://openalex.org/keywords/ripeness","display_name":"Ripeness","score":0.4390000104904175},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.42879998683929443},{"id":"https://openalex.org/keywords/plant-disease","display_name":"Plant disease","score":0.35519999265670776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086999773979187},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.5939000248908997},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.5218999981880188},{"id":"https://openalex.org/C2780393073","wikidata":"https://www.wikidata.org/wiki/Q7335586","display_name":"Ripeness","level":3,"score":0.4390000104904175},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.42879998683929443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4083999991416931},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3628999888896942},{"id":"https://openalex.org/C3019235130","wikidata":"https://www.wikidata.org/wiki/Q188956","display_name":"Plant disease","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C101433766","wikidata":"https://www.wikidata.org/wiki/Q3543263","display_name":"Maturity (psychological)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.3158000111579895},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.29409998655319214},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C51592225","wikidata":"https://www.wikidata.org/wiki/Q2498665","display_name":"Food quality","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C207267971","wikidata":"https://www.wikidata.org/wiki/Q120208","display_name":"Emerging technologies","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2531999945640564}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01296-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01296-2","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01296-2","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a544faa1e78e441bb933d4af53f0f736","is_oa":true,"landing_page_url":"https://doaj.org/article/a544faa1e78e441bb933d4af53f0f736","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 12, Iss 1, Pp 1-44 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01296-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01296-2","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01296-2","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416142730.pdf","grobid_xml":"https://content.openalex.org/works/W4416142730.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W51303042","https://openalex.org/W2901712117","https://openalex.org/W2997603734","https://openalex.org/W3045563694","https://openalex.org/W3081583893","https://openalex.org/W3094701634","https://openalex.org/W3109916741","https://openalex.org/W3118615836","https://openalex.org/W3118868152","https://openalex.org/W3126336475","https://openalex.org/W3142537071","https://openalex.org/W3155461783","https://openalex.org/W3161919947","https://openalex.org/W3188305086","https://openalex.org/W3199992936","https://openalex.org/W3201379052","https://openalex.org/W3202634119","https://openalex.org/W3209266725","https://openalex.org/W3215264730","https://openalex.org/W4200459217","https://openalex.org/W4205790431","https://openalex.org/W4220927354","https://openalex.org/W4224989644","https://openalex.org/W4298223039","https://openalex.org/W4308026289","https://openalex.org/W4312178756","https://openalex.org/W4312608061","https://openalex.org/W4313117877","https://openalex.org/W4313417761","https://openalex.org/W4313890094","https://openalex.org/W4318055203","https://openalex.org/W4319778107","https://openalex.org/W4322761329","https://openalex.org/W4323894704","https://openalex.org/W4324057917","https://openalex.org/W4367664091","https://openalex.org/W4380053142","https://openalex.org/W4380488929","https://openalex.org/W4380537490","https://openalex.org/W4384557831","https://openalex.org/W4386161648","https://openalex.org/W4386921200","https://openalex.org/W4387048841","https://openalex.org/W4387105846","https://openalex.org/W4387455472","https://openalex.org/W4387736630","https://openalex.org/W4389202131","https://openalex.org/W4391302112","https://openalex.org/W4391383507","https://openalex.org/W4391617638","https://openalex.org/W4392434745","https://openalex.org/W4392827296","https://openalex.org/W4394755310","https://openalex.org/W4394912426","https://openalex.org/W4396671241","https://openalex.org/W4400648048","https://openalex.org/W4400975457","https://openalex.org/W4401899961","https://openalex.org/W4406098189","https://openalex.org/W4406658651","https://openalex.org/W4408226114","https://openalex.org/W4409606300","https://openalex.org/W4410095629"],"related_works":[],"abstract_inverted_index":{"Agriculture":[0],"4.0":[1],"represents":[2],"the":[3,108,160,173,205],"transformation":[4],"of":[5,32,74,98,110,149,228],"traditional":[6],"farming":[7],"into":[8],"a":[9,29,33,66,135,146,155,176],"data-driven,":[10],"intelligent":[11],"system,":[12],"with":[13,107],"fruit":[14,82,99,150,194,229],"cultivation":[15],"playing":[16],"an":[17],"essential":[18,37,85],"part":[19,31],"in":[20,69],"food":[21],"security,":[22],"nutrition,":[23],"and":[24,40,46,55,63,80,93,105,115,121,131,168,189,202,213,238],"economic":[25],"growth.":[26],"Fruits":[27],"are":[28],"vital":[30],"healthy":[34],"diet,":[35],"offering":[36],"vitamins,":[38],"minerals,":[39],"fibre":[41],"that":[42],"support":[43],"overall":[44,81],"well-being":[45],"chronic":[47],"disease":[48,132],"prevention.":[49],"Given":[50],"their":[51],"high":[52],"market":[53],"value":[54],"sensitivity":[56],"to":[57,86,171,241],"environmental":[58,127],"conditions,":[59],"ensuring":[60],"optimal":[61],"ripeness":[62],"quality":[64,100,195,230],"is":[65,84],"top":[67],"priority":[68],"modern":[70],"agriculture.":[71],"Accurate":[72],"monitoring":[73],"ripening":[75],"stages,":[76],"texture,":[77],"colour,":[78],"sweetness,":[79],"health":[83],"meet":[87],"consumer":[88],"expectations,":[89],"reduce":[90],"post-harvest":[91],"losses,":[92],"improve":[94],"marketability.":[95],"The":[96],"evaluation":[97,227],"has":[101,140],"become":[102],"more":[103],"accurate":[104],"timelier":[106],"use":[109],"smart":[111],"sensors,":[112],"imaging":[113],"technologies,":[114],"Artificial":[116],"Intelligence":[117],"(AI).":[118],"However,":[119],"identifying":[120,198],"interpreting":[122],"multiple":[123],"influencing":[124],"factors\u2014such":[125],"as":[126],"stress,":[128],"nutrient":[129],"imbalance,":[130],"symptoms-":[133],"remains":[134],"complex":[136],"challenge.":[137],"This":[138,152,216],"research":[139,200],"focused":[141],"on":[142],"single-parameter":[143],"analysis,":[144],"providing":[145],"clear":[147],"understanding":[148],"quality.":[151],"study":[153],"does":[154],"systematic":[156,177],"literature":[157],"review":[158,206],"using":[159],"PRISMA":[161],"(Preferred":[162],"Reporting":[163],"Items":[164],"for":[165,175,193],"Systematic":[166],"Reviews":[167],"Meta-Analyses)":[169],"methodology":[170],"address":[172],"need":[174],"approach.":[178],"It":[179],"investigates":[180],"topics":[181],"like":[182],"feature":[183],"extraction,":[184],"sensor":[185,239],"selection,":[186],"data":[187,222],"collection,":[188],"AI-based":[190],"classification":[191],"methods":[192],"monitoring.":[196],"By":[197],"key":[199],"gaps":[201],"technical":[203],"challenges,":[204],"highlights":[207],"how":[208,220],"AI":[209],"can":[210],"offer":[211],"robust":[212],"scalable":[214],"solutions.":[215],"paper":[217],"also":[218],"emphasizes":[219],"big":[221],"frameworks":[223],"provide":[224],"scalable,":[225],"real-time":[226],"by":[231],"combining":[232],"several":[233],"multimodal":[234],"inputs":[235],"from":[236],"image":[237],"technologies":[240],"aid":[242],"precision":[243],"farming.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-11-12T00:00:00"}
