{"id":"https://openalex.org/W4402680480","doi":"https://doi.org/10.1145/3653644.3653647","title":"Rice field pest detector based on deep learning and embedded system","display_name":"Rice field pest detector based on deep learning and embedded system","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4402680480","doi":"https://doi.org/10.1145/3653644.3653647"},"language":"en","primary_location":{"id":"doi:10.1145/3653644.3653647","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653644.3653647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine 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/A5011878651","display_name":"Jiaqi Li","orcid":"https://orcid.org/0009-0000-0032-9285"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqi Li","raw_affiliation_strings":["Huaibei Normal University, China"],"raw_orcid":"https://orcid.org/0009-0000-0032-9285","affiliations":[{"raw_affiliation_string":"Huaibei Normal University, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050596079","display_name":"Zixiang Li","orcid":"https://orcid.org/0009-0006-8936-3511"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiang Li","raw_affiliation_strings":["Huaibei Normal University, China"],"raw_orcid":"https://orcid.org/0009-0006-8936-3511","affiliations":[{"raw_affiliation_string":"Huaibei Normal University, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114274286","display_name":"Xin Wen","orcid":"https://orcid.org/0009-0008-4113-946X"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wen","raw_affiliation_strings":["Huaibei Normal University, China"],"raw_orcid":"https://orcid.org/0009-0008-4113-946X","affiliations":[{"raw_affiliation_string":"Huaibei Normal University, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104215597","display_name":"Jia Li","orcid":"https://orcid.org/0009-0001-9243-3182"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["Huaibei Normal University, China"],"raw_orcid":"https://orcid.org/0009-0001-9243-3182","affiliations":[{"raw_affiliation_string":"Huaibei Normal University, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071517728","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-8997-1983"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Huaibei Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-8997-1983","affiliations":[{"raw_affiliation_string":"Huaibei Normal University, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006132276","display_name":"W. Meng","orcid":"https://orcid.org/0009-0005-1458-1824"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Meng","raw_affiliation_strings":["Huaibei Normal University, China"],"raw_orcid":"https://orcid.org/0009-0005-1458-1824","affiliations":[{"raw_affiliation_string":"Huaibei Normal University, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320010","display_name":"Sheng Liu","orcid":"https://orcid.org/0000-0003-2731-9591"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Liu","raw_affiliation_strings":["Huaibei Normal University, China"],"raw_orcid":"https://orcid.org/0000-0003-2731-9591","affiliations":[{"raw_affiliation_string":"Huaibei Normal University, China","institution_ids":["https://openalex.org/I165859042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5011878651"],"corresponding_institution_ids":["https://openalex.org/I165859042"],"apc_list":null,"apc_paid":null,"fwci":0.5713,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77848643,"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":"167","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9905999898910522,"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":0.9905999898910522,"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/T12045","display_name":"Rice Cultivation and Yield Improvement","score":0.9902999997138977,"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/T13142","display_name":"GABA and Rice Research","score":0.983299970626831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pest-analysis","display_name":"PEST analysis","score":0.7141680717468262},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.581076979637146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5314795970916748},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45732581615448},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.42553460597991943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39037370681762695},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20995602011680603},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16023960709571838},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1360691487789154},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.13524368405342102},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10989797115325928}],"concepts":[{"id":"https://openalex.org/C22508944","wikidata":"https://www.wikidata.org/wiki/Q568174","display_name":"PEST analysis","level":2,"score":0.7141680717468262},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.581076979637146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5314795970916748},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45732581615448},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.42553460597991943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39037370681762695},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20995602011680603},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16023960709571838},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1360691487789154},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.13524368405342102},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10989797115325928},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653644.3653647","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653644.3653647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.800000011920929,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1966713367","https://openalex.org/W2014173785","https://openalex.org/W2598645336","https://openalex.org/W2886512118","https://openalex.org/W2940672394","https://openalex.org/W3000746874","https://openalex.org/W3005103743","https://openalex.org/W3015736093","https://openalex.org/W3126307664","https://openalex.org/W3183824707","https://openalex.org/W4290724385","https://openalex.org/W4310170198","https://openalex.org/W4319082341"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2373082819","https://openalex.org/W2000775715","https://openalex.org/W2368617250","https://openalex.org/W2356008311","https://openalex.org/W2371928974","https://openalex.org/W2732398119","https://openalex.org/W3015064445"],"abstract_inverted_index":{"To":[0,78],"improve":[1],"the":[2,14,80,86,89,101,104,111,116,120,132,150,186,192],"efficiency":[3],"of":[4,16,55,71,82,103,115,171,188,194],"rice":[5,51,73,134,137,140,145,174],"field":[6,52,175],"pest":[7,23],"identification,":[8],"reduce":[9,79],"labor":[10],"costs,":[11],"and":[12,30,36,68,92,129,144,149,180],"solve":[13],"problem":[15],"one-sided":[17],"judgment":[18],"in":[19],"manual":[20],"detection,":[21],"a":[22,37,58,66,182],"detection":[24,43,70,90,113,162,170,193],"method":[25],"based":[26],"on":[27,85],"deep":[28],"learning":[29],"an":[31],"embedded":[32,178],"system":[33],"was":[34,40,45,62,76,124],"proposed":[35],"portable":[38],"instrument":[39],"designed.":[41],"The":[42,107,166],"model":[44,83,117],"first":[46],"obtained":[47],"by":[48,99,119],"training":[49],"1500":[50],"image":[53,93,152],"datasets":[54],"pests":[56,75,176],"through":[57],"YOLOv2-MobileNet":[59],"network,":[60],"which":[61],"then":[63],"deployed":[64],"into":[65],"device,":[67],"real-time":[69,169],"common":[72,173],"paddy":[74],"realized.":[77],"impact":[81],"deployment":[84],"device":[87],"performance,":[88],"accuracy":[91,114],"capture":[94],"frame":[95,154],"rate":[96,155],"were":[97,164],"improved":[98],"adjusting":[100],"width":[102],"MobileNet":[105],"network.":[106],"results":[108],"showed":[109],"that":[110],"average":[112,151],"trained":[118],"backbone":[121],"network":[122],"MobileNet-0.75":[123],"89.4%,":[125],"80.7%,":[126],"90.0%,":[127],"81.9%,":[128],"83.6%":[130],"for":[131,185,191],"locust,":[133],"leaf":[135],"roller,":[136],"stem":[138],"borer,":[139],"green":[141,146],"mirid":[142],"nymph,":[143],"adult,":[147],"respectively,":[148],"acquisition":[153],"reached":[156],"35":[157],"frames":[158],"per":[159],"second.":[160],"Real-time":[161],"requirements":[163],"met.":[165],"design":[167],"realizes":[168],"five":[172],"using":[177],"equipment":[179,190],"provides":[181],"reference":[183],"value":[184],"application":[187],"intelligent":[189],"agricultural":[195],"pests.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
