{"id":"https://openalex.org/W4399257693","doi":"https://doi.org/10.1145/3653781.3653794","title":"A Novel Fusion Network for Apple Image Classification and Quantity Recognition","display_name":"A Novel Fusion Network for Apple Image Classification and Quantity Recognition","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4399257693","doi":"https://doi.org/10.1145/3653781.3653794"},"language":"en","primary_location":{"id":"doi:10.1145/3653781.3653794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103135022","display_name":"Hanyu Jiang","orcid":"https://orcid.org/0009-0007-9291-6364"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanyu Jiang","raw_affiliation_strings":["HDU-ITMO Joint Institute Hangzhou Dianzi University, China"],"raw_orcid":"https://orcid.org/0009-0007-9291-6364","affiliations":[{"raw_affiliation_string":"HDU-ITMO Joint Institute Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhipeng Wang","orcid":"https://orcid.org/0009-0008-0966-6411"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Wang","raw_affiliation_strings":["HDU-ITMO Joint Institute Hangzhou Dianzi University, China"],"raw_orcid":"https://orcid.org/0009-0008-0966-6411","affiliations":[{"raw_affiliation_string":"HDU-ITMO Joint Institute Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044928604","display_name":"Jiahan Chen","orcid":"https://orcid.org/0009-0004-9932-1580"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahan Chen","raw_affiliation_strings":["HDU-ITMO Joint Institute Hangzhou Dianzi University, China"],"raw_orcid":"https://orcid.org/0009-0004-9932-1580","affiliations":[{"raw_affiliation_string":"HDU-ITMO Joint Institute Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098972522","display_name":"Guanyuan Pan","orcid":"https://orcid.org/0009-0008-9150-8454"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyuan Pan","raw_affiliation_strings":["HDU-ITMO Joint Institute Hangzhou Dianzi University, China"],"raw_orcid":"https://orcid.org/0009-0008-9150-8454","affiliations":[{"raw_affiliation_string":"HDU-ITMO Joint Institute Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072103722","display_name":"Yudie Jin","orcid":"https://orcid.org/0009-0001-9663-7027"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yudie Jin","raw_affiliation_strings":["HDU-ITMO Joint Institute Hangzhou Dianzi University, China"],"raw_orcid":"https://orcid.org/0009-0001-9663-7027","affiliations":[{"raw_affiliation_string":"HDU-ITMO Joint Institute Hangzhou Dianzi University, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103135022"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04135019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9936000108718872,"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":0.9936000108718872,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9111999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7685495018959045},{"id":"https://openalex.org/keywords/orchard","display_name":"Orchard","score":0.686468780040741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6170333623886108},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5751389861106873},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4669991731643677},{"id":"https://openalex.org/keywords/hsl-and-hsv","display_name":"HSL and HSV","score":0.46282726526260376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45352113246917725},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41432273387908936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30369794368743896},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.12235963344573975}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7685495018959045},{"id":"https://openalex.org/C2780753983","wikidata":"https://www.wikidata.org/wiki/Q236371","display_name":"Orchard","level":2,"score":0.686468780040741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6170333623886108},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5751389861106873},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4669991731643677},{"id":"https://openalex.org/C36372059","wikidata":"https://www.wikidata.org/wiki/Q376492","display_name":"HSL and HSV","level":3,"score":0.46282726526260376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45352113246917725},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41432273387908936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30369794368743896},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.12235963344573975},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2522874641","wikidata":"https://www.wikidata.org/wiki/Q808","display_name":"Virus","level":2,"score":0.0},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653781.3653794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2049004027","https://openalex.org/W2138178898","https://openalex.org/W2166828762","https://openalex.org/W2617381541","https://openalex.org/W2759879112","https://openalex.org/W2765982206","https://openalex.org/W2767713344","https://openalex.org/W2947134462","https://openalex.org/W4249240199","https://openalex.org/W4388759115"],"related_works":["https://openalex.org/W2357290554","https://openalex.org/W2334468155","https://openalex.org/W2590060643","https://openalex.org/W2775631375","https://openalex.org/W2212575126","https://openalex.org/W2583834057","https://openalex.org/W2320141395","https://openalex.org/W2393971270","https://openalex.org/W2388554640","https://openalex.org/W2369393765"],"abstract_inverted_index":{"We":[0,25,44],"focuses":[1],"on":[2,81,86,111,128],"identifying":[3],"images":[4,14,56,60,67],"containing":[5],"apples":[6,20,136,142,149,163],"from":[7,57],"a":[8,27,47],"large":[9],"number":[10,18,133,139,161,200],"of":[11,19,134,140,162,175,201],"orchard":[12],"fruit":[13,50,59,177],"and":[15,41,64,74,95,121,137,147,155,184],"determining":[16],"the":[17,38,62,69,75,87,105,122,132,138,144,151,160,165,168,173,185,199],"in":[21,61,143,150,164,197],"each":[22],"filtered":[23],"image.":[24],"propose":[26],"CV5Fnet":[28,192],"model":[29],"that":[30,191],"combines":[31],"traditional":[32],"OpenCV":[33],"image":[34,187],"processing":[35,188],"operations":[36],"with":[37],"Watershed":[39,96],"Algorithm":[40],"YOLO":[42],"V5.":[43],"first":[45],"build":[46],"high-precision,":[48],"lightweight":[49],"classifier":[51,178],"to":[52,68,104,130,159],"accurately":[53],"filter":[54],"apple":[55,66,71,77,100,107,124],"five":[58],"dataset,":[63],"pass":[65],"red":[70,106,135],"recognition":[72,78,108,125],"module":[73,79,109,126],"green":[76,123,141,148],"based":[80,85,110,127],"YOLOV5,":[82],"which":[83],"are":[84,102],"filters,":[88],"HSV":[89,113],"color":[90,114],"space":[91,115],"conversion,":[92,116],"masking":[93],"operations,":[94],"Algorithm,":[97],"respectively.":[98],"The":[99],"pictures":[101],"passed":[103],"filter,":[112],"mask":[117],"operation,":[118],"watershed":[119],"algorithm":[120],"YOLOV5":[129],"recognize":[131],"target":[145,152],"pictures.":[146],"picture":[153],"respectively,":[154],"finally":[156],"sum":[157],"up":[158],"picture.":[166],"In":[167],"publicly":[169],"available":[170],"dataset":[171],"2023APMCM_A_2,":[172],"accuracy":[174],"our":[176],"is":[179],"as":[180,182],"high":[181],"99.86%,":[183],"final":[186],"results":[189,196],"show":[190],"has":[193],"achieved":[194],"good":[195],"recognizing":[198],"apples.":[202]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}