{"id":"https://openalex.org/W4386781846","doi":"https://doi.org/10.3390/s23187884","title":"Enhancing Agricultural Image Segmentation with an Agricultural Segment Anything Model Adapter","display_name":"Enhancing Agricultural Image Segmentation with an Agricultural Segment Anything Model Adapter","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386781846","doi":"https://doi.org/10.3390/s23187884","pmid":"https://pubmed.ncbi.nlm.nih.gov/37765940"},"language":"en","primary_location":{"id":"doi:10.3390/s23187884","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23187884","pdf_url":"https://www.mdpi.com/1424-8220/23/18/7884/pdf?version=1694684152","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/18/7884/pdf?version=1694684152","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072875517","display_name":"Yaqin Li","orcid":"https://orcid.org/0000-0002-7431-2619"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqin Li","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462175","display_name":"Dandan Wang","orcid":"https://orcid.org/0000-0003-0780-1938"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Wang","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400922","display_name":"Yuan Cao","orcid":"https://orcid.org/0000-0002-8775-0626"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cao Yuan","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China"],"raw_orcid":"https://orcid.org/0000-0002-8775-0626","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348686","display_name":"Hao Li","orcid":"https://orcid.org/0000-0003-2769-4842"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China"],"raw_orcid":"https://orcid.org/0000-0003-2769-4842","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100784385","display_name":"Jing Hu","orcid":"https://orcid.org/0000-0003-0921-0592"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Hu","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430024, China","institution_ids":["https://openalex.org/I14116566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100784385"],"corresponding_institution_ids":["https://openalex.org/I14116566"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":22.3929,"has_fulltext":true,"cited_by_count":77,"citation_normalized_percentile":{"value":0.99581434,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"23","issue":"18","first_page":"7884","last_page":"7884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.993399977684021,"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/adapter","display_name":"Adapter (computing)","score":0.8499633073806763},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8308941125869751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6704413890838623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6234773993492126},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.593736469745636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5730648636817932},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5528865456581116},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.49587973952293396},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4596623182296753},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4261501729488373},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3229145407676697},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11360609531402588},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.07024464011192322}],"concepts":[{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.8499633073806763},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8308941125869751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6704413890838623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6234773993492126},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.593736469745636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5730648636817932},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5528865456581116},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.49587973952293396},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4596623182296753},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4261501729488373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3229145407676697},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11360609531402588},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.07024464011192322},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23187884","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23187884","pdf_url":"https://www.mdpi.com/1424-8220/23/18/7884/pdf?version=1694684152","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37765940","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37765940","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10534855","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10534855","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10534855/pdf/sensors-23-07884.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:6f5b414ec50746939d15af2f29a3a52b","is_oa":true,"landing_page_url":"https://doaj.org/article/6f5b414ec50746939d15af2f29a3a52b","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 18, p 7884 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23187884","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23187884","pdf_url":"https://www.mdpi.com/1424-8220/23/18/7884/pdf?version=1694684152","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386781846.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1973404660","https://openalex.org/W2609369513","https://openalex.org/W2891667148","https://openalex.org/W2911300548","https://openalex.org/W2963150697","https://openalex.org/W2963881378","https://openalex.org/W2977547420","https://openalex.org/W2987391422","https://openalex.org/W2998548240","https://openalex.org/W2998829203","https://openalex.org/W3161106266","https://openalex.org/W3176164117","https://openalex.org/W4213360337","https://openalex.org/W4283732315","https://openalex.org/W4292779060","https://openalex.org/W4301802631","https://openalex.org/W4312420092","https://openalex.org/W4312513387","https://openalex.org/W4312781473","https://openalex.org/W4312815172","https://openalex.org/W4313156423","https://openalex.org/W4386065718","https://openalex.org/W4386071535","https://openalex.org/W4390874575","https://openalex.org/W6759579507","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2394279717","https://openalex.org/W2551987074","https://openalex.org/W2364730859","https://openalex.org/W2386644571","https://openalex.org/W2185902295","https://openalex.org/W2055202857","https://openalex.org/W2103507220","https://openalex.org/W2372421320","https://openalex.org/W4313052709"],"abstract_inverted_index":{"The":[0,122],"Segment":[1],"Anything":[2],"Model":[3],"(SAM)":[4],"is":[5,58],"a":[6,70,95],"versatile":[7],"image":[8,20,83,100],"segmentation":[9,14,45,67,84,101,136,149],"model":[10,68,90,128],"that":[11,34,125],"enables":[12,91],"zero-shot":[13,92],"of":[15,81,114],"various":[16],"objects":[17],"in":[18,39,102],"any":[19],"using":[21],"prompts,":[22,88],"including":[23],"bounding":[24],"boxes,":[25],"points,":[26],"texts,":[27],"and":[28,46,85],"more.":[29],"However,":[30],"studies":[31],"have":[32],"shown":[33],"the":[35,53,66,78,89,103,112,115,119,126,139],"SAM":[36,55],"performs":[37],"poorly":[38],"agricultural":[40,54,62,82,104,135],"tasks":[41],"like":[42],"crop":[43],"disease":[44],"pest":[47],"segmentation.":[48],"To":[49],"address":[50],"this":[51],"issue,":[52],"adapter":[56,74],"(ASA)":[57],"proposed,":[59],"which":[60],"incorporates":[61],"domain":[63],"expertise":[64],"into":[65],"through":[69],"simple":[71],"but":[72],"effective":[73],"technique.":[75],"By":[76],"leveraging":[77],"distinctive":[79],"characteristics":[80],"suitable":[86],"user":[87],"segmentation,":[93],"providing":[94],"new":[96],"approach":[97],"for":[98],"zero-sample":[99],"domain.":[105],"Comprehensive":[106],"experiments":[107],"are":[108],"conducted":[109],"to":[110,118],"assess":[111],"efficacy":[113],"ASA":[116],"compared":[117],"default":[120],"SAM.":[121],"results":[123],"show":[124],"proposed":[127],"achieves":[129],"significant":[130],"improvements":[131],"on":[132,146],"all":[133],"12":[134],"tasks.":[137,150],"Notably,":[138],"average":[140],"Dice":[141],"score":[142],"improved":[143],"by":[144],"41.48%":[145],"two":[147],"coffee-leaf-disease":[148]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":36},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}