{"id":"https://openalex.org/W7212949620","doi":"https://doi.org/10.1016/j.atech.2026.102571","title":"An interpretable deep embedding framework for data-driven discovery of crop families","display_name":"An interpretable deep embedding framework for data-driven discovery of crop families","publication_year":2026,"publication_date":"2026-09-14","ids":{"openalex":"https://openalex.org/W7212949620","doi":"https://doi.org/10.1016/j.atech.2026.102571"},"language":"en","primary_location":{"id":"doi:10.1016/j.atech.2026.102571","doi":"https://doi.org/10.1016/j.atech.2026.102571","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.atech.2026.102571","pdf_url":null,"source":{"id":"https://openalex.org/S4210238883","display_name":"Smart Agricultural Technology","issn_l":"2772-3755","issn":["2772-3755"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Agricultural Technology","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.atech.2026.102571","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080449367","display_name":"Ibrahim Nasir Mahmood","orcid":"https://orcid.org/0000-0002-5727-3953","observed_orcids":["https://orcid.org/0000-0002-5727-3953"]},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Ibrahim Nasir Mahmood","raw_affiliation_strings":["Department of Data Science and Engineering, Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C, Budapest, 1117, Hungary"],"raw_orcid":"https://orcid.org/0000-0002-5727-3953","affiliations":[{"raw_affiliation_string":"Department of Data Science and Engineering, Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C, Budapest, 1117, Hungary","institution_ids":["https://openalex.org/I106118109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033084296","display_name":"Gergely Bencsik","orcid":"https://orcid.org/0000-0002-2381-3480","observed_orcids":["https://orcid.org/0000-0002-2381-3480"]},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Bencsik Gergely","raw_affiliation_strings":["Department of Data Science and Engineering, Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C, Budapest, 1117, Hungary"],"raw_orcid":"https://orcid.org/0000-0002-2381-3480","affiliations":[{"raw_affiliation_string":"Department of Data Science and Engineering, Faculty of Informatics, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P\u00e9ter stny. 1/C, Budapest, 1117, Hungary","institution_ids":["https://openalex.org/I106118109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028221660","display_name":"Mustafa Ali Abuzaraida","orcid":"https://orcid.org/0000-0002-9327-8639","observed_orcids":["https://orcid.org/0000-0002-9327-8639"]},"institutions":[{"id":"https://openalex.org/I4405286248","display_name":"Libyan Authority for Scientific Research","ror":"https://ror.org/01kp25r74","country_code":"LY","type":"government","lineage":["https://openalex.org/I4405286248"]}],"countries":["LY"],"is_corresponding":false,"raw_author_name":"Mustafa Ali Abuzaraida","raw_affiliation_strings":["Libyan Authority for Scientific Research, Libya"],"raw_orcid":"https://orcid.org/0000-0002-9327-8639","affiliations":[{"raw_affiliation_string":"Libyan Authority for Scientific Research, Libya","institution_ids":["https://openalex.org/I4405286248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5146627553","display_name":"Zita Sz\u00e9pr\u00e9ti","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1290523313","display_name":"Magyar Agr\u00e1r- \u00e9s \u00c9lettudom\u00e1nyi Egyetem","ror":"https://ror.org/01394d192","country_code":"HU","type":"education","lineage":["https://openalex.org/I1290523313"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zita Szepreti","raw_affiliation_strings":["Department of Fruit Growing, Institute of Horticultural Science, Hungarian University of Agriculture and Life Sciences, Vill\u00e1nyi Street 29-43, Budapest, 1118, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Fruit Growing, Institute of Horticultural Science, Hungarian University of Agriculture and Life Sciences, Vill\u00e1nyi Street 29-43, Budapest, 1118, Hungary","institution_ids":["https://openalex.org/I1290523313"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080449367"],"corresponding_institution_ids":["https://openalex.org/I106118109"],"apc_list":{"value":1770,"currency":"USD","value_usd":1770},"apc_paid":{"value":1770,"currency":"USD","value_usd":1770},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6423845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"102571","last_page":"102571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.6439999938011169,"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":0.6439999938011169,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.029600000008940697,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14018","display_name":"Agriculture and Biological Studies","score":0.02710000053048134,"subfield":{"id":"https://openalex.org/subfields/1100","display_name":"General Agricultural and Biological Sciences"},"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/crop-classification","display_name":"crop classification","score":0.5529999732971191},{"id":"https://openalex.org/keywords/explainable-deep-learning","display_name":"explainable deep learning","score":0.8309999704360962},{"id":"https://openalex.org/keywords/deep-embedding","display_name":"deep embedding","score":0.6679999828338623},{"id":"https://openalex.org/keywords/plant-taxonomy","display_name":"plant taxonomy","score":0.4000000059604645},{"id":"https://openalex.org/keywords/data-driven-discovery","display_name":"data-driven discovery","score":0.652999997138977}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5878999829292297},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48840001225471497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33379998803138733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32440000772476196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3172999918460846},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.atech.2026.102571","doi":"https://doi.org/10.1016/j.atech.2026.102571","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.atech.2026.102571","pdf_url":null,"source":{"id":"https://openalex.org/S4210238883","display_name":"Smart Agricultural Technology","issn_l":"2772-3755","issn":["2772-3755"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Agricultural Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.atech.2026.102571","doi":"https://doi.org/10.1016/j.atech.2026.102571","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.atech.2026.102571","pdf_url":null,"source":{"id":"https://openalex.org/S4210238883","display_name":"Smart Agricultural Technology","issn_l":"2772-3755","issn":["2772-3755"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Agricultural Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.9208999872207642}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6577600836753845}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326124","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd Tudom\u00e1nyegyetem","ror":"https://ror.org/01jsq2704"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W28813097","https://openalex.org/W1128809682","https://openalex.org/W1987971958","https://openalex.org/W2016381774","https://openalex.org/W2051224630","https://openalex.org/W2473156356","https://openalex.org/W2949642792","https://openalex.org/W3209306993","https://openalex.org/W4310494058","https://openalex.org/W4384343211","https://openalex.org/W4392049963","https://openalex.org/W4393034739","https://openalex.org/W4401107282","https://openalex.org/W4401866952","https://openalex.org/W4402134399","https://openalex.org/W4402380939","https://openalex.org/W4408295041","https://openalex.org/W4408343981","https://openalex.org/W4408862627","https://openalex.org/W4409383006","https://openalex.org/W4413024956","https://openalex.org/W4415207865","https://openalex.org/W4417092750"],"related_works":["https://openalex.org/W3155273050","https://openalex.org/W6960205917","https://openalex.org/W7154777270","https://openalex.org/W7222995626","https://openalex.org/W7213453754","https://openalex.org/W4410144340","https://openalex.org/W7146005500","https://openalex.org/W4292775095","https://openalex.org/W4417193721","https://openalex.org/W7143954932"],"abstract_inverted_index":{"Understanding":[0],"functional":[1],"similarities":[2],"among":[3],"crops":[4,32],"is":[5,117],"necessary":[6],"for":[7,80],"large-scale":[8],"crop":[9,52],"zoning,":[10],"resource":[11],"planning,":[12],"and":[13,24,60,76,102,128,175,187,231],"climate-adaptive":[14],"agriculture.":[15],"However,":[16],"existing":[17],"classifications":[18],"depend":[19],"primarily":[20],"on":[21,142],"botanical":[22,221],"taxonomy":[23,222],"fail":[25],"to":[26,88,220],"reflect":[27],"the":[28,105,130],"multi-dimensional":[29],"behavior":[30],"of":[31,124],"in":[33,138,224,228],"complex":[34],"real-world":[35],"cultivation":[36],"environments.":[37],"To":[38,109],"bridge":[39],"this":[40,212],"gap,":[41],"we":[42],"propose":[43],"CROP-LENS,":[44],"an":[45,179],"interpretable":[46],"data-driven":[47,226],"framework":[48,136,154,213],"that":[49,71],"discovers":[50],"ecological":[51],"families":[53],"by":[54,119],"combining":[55],"deep":[56,68],"embedding,":[57],"multi-algorithm":[58],"clustering,":[59],"surrogate":[61,190],"decision":[62,191],"tree":[63,192],"explanation.":[64],"Unlike":[65],"traditional":[66],"joint-optimization":[67],"clustering":[69,107,120],"methods":[70],"suffer":[72],"from":[73],"feature":[74],"distortion":[75],"high":[77],"computational":[78],"overhead":[79],"tabular":[81],"data,":[82],"CROP-LENS":[83],"utilizes":[84],"a":[85,94,99,113,121,147,188,215],"decoupled":[86],"architecture":[87],"project":[89],"high-dimensional":[90],"agricultural":[91,209],"data":[92,126],"into":[93,201],"compact":[95],"latent":[96,199],"space,":[97],"apply":[98],"topology-preserving":[100],"projection,":[101],"dynamically":[103],"select":[104],"optimal":[106],"geometry.":[108],"ensure":[110],"operational":[111],"scalability,":[112],"core-set":[114],"sampling":[115],"mechanism":[116],"implemented":[118],"representative":[122],"subset":[123],"1,500":[125],"points":[127],"assigning":[129],"remainder":[131],"via":[132],"k-NN.":[133],"The":[134,152],"proposed":[135,153],"executes":[137],"roughly":[139],"65":[140],"seconds":[141],"standard":[143],"CPU":[144],"hardware,":[145],"representing":[146],"speedup":[148],"over":[149],"foundational":[150],"baselines.":[151],"achieved":[155],"dominant":[156],"structural":[157],"separation":[158],"(Silhouette":[159],"=":[160,169,195],"0.870)":[161],"while":[162],"maintaining":[163],"highly":[164,217],"stable":[165],"agronomic":[166,204],"variance":[167],"(ENV-CV":[168],"0.512)":[170],"when":[171],"evaluated":[172],"across":[173],"real":[174],"synthetic":[176],"datasets.":[177],"Moreover,":[178],"interpretability":[180],"layer":[181],"utilizing":[182],"medoid":[183],"representatives,":[184],"statistical":[185],"profiles,":[186],"global":[189],"(Hold-out":[193],"Accuracy":[194],"0.95)":[196],"translates":[197],"these":[198],"boundaries":[200],"actionable":[202],"human-readable":[203],"rules":[205],"validated":[206],"against":[207],"established":[208],"standards.":[210],"Eventually,":[211],"provides":[214],"transparent":[216],"efficient":[218],"alternative":[219],"practical":[223],"supporting":[225],"decision-making":[227],"precision":[229],"agriculture":[230],"climate":[232],"adaptation":[233],"planning.":[234]},"counts_by_year":[],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2026-09-15T00:00:00"}
