{"id":"https://openalex.org/W7161249613","doi":"https://doi.org/10.1016/j.compag.2026.111862","title":"Generative diffusion models for agricultural AI: Plant image generation, indoor-to-outdoor translation, and expert preference alignment","display_name":"Generative diffusion models for agricultural AI: Plant image generation, indoor-to-outdoor translation, and expert preference alignment","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161249613","doi":"https://doi.org/10.1016/j.compag.2026.111862"},"language":"en","primary_location":{"id":"doi:10.1016/j.compag.2026.111862","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compag.2026.111862","pdf_url":null,"source":{"id":"https://openalex.org/S116775814","display_name":"Computers and Electronics in Agriculture","issn_l":"0168-1699","issn":["0168-1699","1872-7107"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Computers and Electronics in Agriculture","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compag.2026.111862","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114097478","display_name":"Da Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Da Tan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0000-7861-6786","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136247623","display_name":"Michael Beck","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Beck","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136259298","display_name":"Christopher P. Bidinosti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher P. Bidinosti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075580202","display_name":"Robert H. Gulden","orcid":"https://orcid.org/0000-0001-7215-5720"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert H. Gulden","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136259443","display_name":"Christopher J. Henry","orcid":"https://orcid.org/0000-0002-2624-1502"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher J. Henry","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2624-1502","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114097478"],"corresponding_institution_ids":[],"apc_list":{"value":3680,"currency":"USD","value_usd":3680},"apc_paid":{"value":3680,"currency":"USD","value_usd":3680},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87563491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"249","issue":null,"first_page":"111862","last_page":"111862"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.6624000072479248,"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":0.6624000072479248,"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.08320000022649765,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.01679999940097332,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5142999887466431},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42410001158714294},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4196999967098236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4187000095844269},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.41519999504089355},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.3871000111103058}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6762999892234802},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5142999887466431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4706000089645386},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42410001158714294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41519999504089355},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.41519999504089355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40959998965263367},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31369999051094055},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.31310001015663147},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.3001999855041504},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25780001282691956},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25220000743865967}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.compag.2026.111862","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compag.2026.111862","pdf_url":null,"source":{"id":"https://openalex.org/S116775814","display_name":"Computers and Electronics in Agriculture","issn_l":"0168-1699","issn":["0168-1699","1872-7107"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Computers and Electronics in Agriculture","raw_type":"journal-article"},{"id":"pmh:oai:winnspace.uwinnipeg.ca:10680/2349","is_oa":true,"landing_page_url":"https://hdl.handle.net/\u00a010680/2349","pdf_url":null,"source":{"id":"https://openalex.org/S4306400200","display_name":"WinnSpace (University of Winnipeg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I872945872","host_organization_name":"University of Winnipeg","host_organization_lineage":["https://openalex.org/I872945872"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1016/j.compag.2026.111862","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compag.2026.111862","pdf_url":null,"source":{"id":"https://openalex.org/S116775814","display_name":"Computers and Electronics in Agriculture","issn_l":"0168-1699","issn":["0168-1699","1872-7107"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Computers and Electronics in Agriculture","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.815642774105072,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311952","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2261465687","https://openalex.org/W2345726069","https://openalex.org/W2473156356","https://openalex.org/W2501369945","https://openalex.org/W2553151007","https://openalex.org/W2611227133","https://openalex.org/W2752728932","https://openalex.org/W2790979755","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W3034094654","https://openalex.org/W3161810785","https://openalex.org/W4289516210","https://openalex.org/W4312933868","https://openalex.org/W4380355352","https://openalex.org/W4383341513","https://openalex.org/W4386072096","https://openalex.org/W4386076458","https://openalex.org/W4396898756","https://openalex.org/W4408185809"],"related_works":[],"abstract_inverted_index":{"Agricultural":[0],"AI":[1],"is":[2,95,114],"often":[3],"constrained":[4],"by":[5,117],"limited,":[6],"imbalanced":[7],"plant":[8,51],"image":[9,52,61,92,126],"datasets":[10],"and":[11,67,76,138,145,176,182,193],"pronounced":[12],"domain":[13,65],"shift":[14],"when":[15],"models":[16],"trained":[17],"on":[18,82],"controlled":[19],"indoor":[20],"imagery":[21],"are":[22,155],"deployed":[23],"in":[24],"field":[25,168],"conditions.":[26],"To":[27],"address":[28],"these":[29],"challenges,":[30],"we":[31],"propose":[32],"an":[33],"integrated":[34],"diffusion-based":[35],"framework":[36,131,188],"with":[37,89,148],"three":[38],"components":[39,154],"that":[40,152],"can":[41],"be":[42],"used":[43],"independently":[44],"or":[45],"as":[46,98],"complementary":[47],"stages:":[48],"(1)":[49],"text-conditioned":[50],"synthesis":[53,158],"to":[54,63,72,124],"expand":[55],"labeled":[56],"training":[57],"data,":[58],"(2)":[59],"indoor-to-outdoor":[60],"translation":[62,166],"mitigate":[64],"shift,":[66],"(3)":[68],"expert":[69,122],"preference-aligned":[70],"fine-tuning":[71],"improve":[73],"agronomic":[74],"realism":[75,169],"output":[77],"stability.":[78],"Our":[79],"implementation":[80],"builds":[81],"a":[83,118,161,190],"Stable":[84],"Diffusion":[85],"v1.4":[86],"backbone":[87],"fine-tuned":[88,111],"our":[90],"domain-specific":[91],"dataset,":[93],"which":[94],"then":[96],"served":[97],"the":[99,103,107,130,153,157,186],"base":[100],"model":[101,113,159],"for":[102,164,173,197],"image-translation":[104],"module":[105],"using":[106,121,132],"DreamBooth":[108],"strategy.":[109],"The":[110],"generative":[112,134,195],"further":[115,179],"optimized":[116],"reward-weighted":[119],"mechanism":[120],"scores":[123],"refine":[125],"quality.":[127,184],"We":[128],"evaluate":[129],"standard":[133],"metrics":[135],"(IS,":[136],"FID)":[137],"downstream":[139],"agricultural":[140,199],"tasks,":[141],"including":[142],"phenotype":[143],"classification":[144],"weed":[146],"detection":[147],"YOLOv8.":[149],"Results":[150],"indicate":[151],"synergistic:":[156],"provides":[160],"strong":[162],"initialization":[163],"translation,":[165],"improves":[167],"while":[170],"retaining":[171],"utility":[172],"data":[174],"augmentation,":[175],"preference":[177],"alignment":[178],"enhances":[180],"consistency":[181],"expert-perceived":[183],"Overall,":[185],"proposed":[187],"offers":[189],"practical,":[191],"data-efficient,":[192],"expert-aware":[194],"pipeline":[196],"real-world":[198],"AI.":[200]},"counts_by_year":[],"updated_date":"2026-05-25T08:39:21.599409","created_date":"2026-05-16T00:00:00"}