{"id":"https://openalex.org/W4398758420","doi":"https://doi.org/10.1145/3652628.3652820","title":"Enhancing Agricultural Disease Segmentation with Adapter-Based Fine-Tuning of the Segment Anything Model: Adapter Fine-Tuning in Agri-Disease Segmentation","display_name":"Enhancing Agricultural Disease Segmentation with Adapter-Based Fine-Tuning of the Segment Anything Model: Adapter Fine-Tuning in Agri-Disease Segmentation","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4398758420","doi":"https://doi.org/10.1145/3652628.3652820"},"language":"en","primary_location":{"id":"doi:10.1145/3652628.3652820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652628.3652820","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652628.3652820","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652628.3652820","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017757620","display_name":"Lang Lang","orcid":"https://orcid.org/0009-0008-8295-4954"},"institutions":[{"id":"https://openalex.org/I50180762","display_name":"Chongqing Three Gorges University","ror":"https://ror.org/05rs3pv16","country_code":"CN","type":"education","lineage":["https://openalex.org/I50180762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lang Lang","raw_affiliation_strings":["School of Intelligent Manufacturing, Chongqing Three Gorges Vocational College, China"],"raw_orcid":"https://orcid.org/0009-0008-8295-4954","affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Chongqing Three Gorges Vocational College, China","institution_ids":["https://openalex.org/I50180762"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109723730","display_name":"Xiaoqin Chen","orcid":"https://orcid.org/0009-0006-6240-4141"},"institutions":[{"id":"https://openalex.org/I50180762","display_name":"Chongqing Three Gorges University","ror":"https://ror.org/05rs3pv16","country_code":"CN","type":"education","lineage":["https://openalex.org/I50180762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Chen","raw_affiliation_strings":["School of Intelligent Manufacturing, Chongqing Three Gorges Vocational College, China"],"raw_orcid":"https://orcid.org/0009-0006-6240-4141","affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Chongqing Three Gorges Vocational College, China","institution_ids":["https://openalex.org/I50180762"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50180762"],"apc_list":null,"apc_paid":null,"fwci":0.4963,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72088095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1171","last_page":"1176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998000264167786,"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":0.9998000264167786,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.955612301826477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.728062093257904},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7262428998947144},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5894625186920166},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.5068007111549377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48483097553253174},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.4410618841648102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3427124619483948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3362780809402466},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.15046975016593933},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07387363910675049},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06538629531860352}],"concepts":[{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.955612301826477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728062093257904},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7262428998947144},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5894625186920166},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.5068007111549377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48483097553253174},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.4410618841648102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3427124619483948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3362780809402466},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.15046975016593933},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07387363910675049},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06538629531860352},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652628.3652820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652628.3652820","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652628.3652820","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652628.3652820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652628.3652820","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652628.3652820","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398758420.pdf","grobid_xml":"https://content.openalex.org/works/W4398758420.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2609369513","https://openalex.org/W2977547420","https://openalex.org/W2998548240","https://openalex.org/W3161106266","https://openalex.org/W4390874575","https://openalex.org/W4391109864"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2535231171","https://openalex.org/W2045342254","https://openalex.org/W1501331687","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W2501551404","https://openalex.org/W1504527458","https://openalex.org/W2130144716"],"abstract_inverted_index":{"Recently,":[0],"the":[1,80,101,108],"Segment":[2],"Anything":[3],"Model":[4],"(SAM)":[5],"has":[6,59],"demonstrated":[7],"superior":[8],"performance":[9,50,83,113],"across":[10],"numerous":[11],"visual":[12],"benchmarks.":[13],"It":[14],"is":[15],"a":[16,69],"highly":[17],"influential":[18],"foundational":[19],"vision":[20],"model":[21],"capable":[22],"of":[23],"achieving":[24],"excellent":[25],"segmentation":[26],"results":[27],"through":[28],"zero-shot":[29],"approaches":[30],"in":[31,45,51,57,84,91,114],"various":[32],"domains.":[33],"However,":[34],"studies":[35],"have":[36],"indicated":[37],"that":[38,107],"SAM":[39,81],"does":[40],"not":[41],"always":[42],"perform":[43],"exceptionally":[44],"all":[46],"areas.":[47],"Notably,":[48],"its":[49],"segmenting":[52],"crop":[53],"diseases":[54],"and":[55,103],"pests":[56],"agriculture":[58],"been":[60],"found":[61],"wanting.":[62],"To":[63],"address":[64],"this":[65],"shortfall,":[66],"we":[67],"introduce":[68],"specialized":[70],"fine-tuning":[71],"method":[72],"for":[73],"agriculture,":[74],"termed":[75],"SAM-Adapter.":[76],"This":[77],"approach":[78],"enhances":[79],"model's":[82],"agricultural":[85,115],"detection":[86],"by":[87],"embedding":[88],"domain-specific":[89],"knowledge":[90],"conjunction":[92],"with":[93],"SAM's":[94,112],"universal":[95],"framework.":[96],"Our":[97],"experiments":[98],"conducted":[99],"on":[100],"BRACOT":[102],"PEST":[104],"datasets":[105],"demonstrate":[106],"SAM-Adapter":[109],"effectively":[110],"improves":[111],"applications.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}