{"id":"https://openalex.org/W4319309484","doi":"https://doi.org/10.1109/skima57145.2022.10029527","title":"Weeding Robot Based on Lightweight Platform and Dual Cameras","display_name":"Weeding Robot Based on Lightweight Platform and Dual Cameras","publication_year":2022,"publication_date":"2022-12-02","ids":{"openalex":"https://openalex.org/W4319309484","doi":"https://doi.org/10.1109/skima57145.2022.10029527"},"language":"en","primary_location":{"id":"doi:10.1109/skima57145.2022.10029527","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/skima57145.2022.10029527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","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/A5045874662","display_name":"Ming Yuan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ming Yuan Wang","raw_affiliation_strings":["Khon Kaen University Khon,Department of Computer Engineering Faculity of Engineering,Kaen,China","Department of Computer Engineering Faculity of Engineering, Khon Kaen University Khon, Kaen, China"],"affiliations":[{"raw_affiliation_string":"Khon Kaen University Khon,Department of Computer Engineering Faculity of Engineering,Kaen,China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Engineering Faculity of Engineering, Khon Kaen University Khon, Kaen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082510995","display_name":"Watis Leelapatra","orcid":null},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Watis Leelapatra","raw_affiliation_strings":["Khon Kaen University Khon,Department of Computer Engineering Faculity of Engineering,Kaen,Thailand","Department of Computer Engineering Faculity of Engineering, Khon Kaen University Khon, Kaen, Thailand"],"affiliations":[{"raw_affiliation_string":"Khon Kaen University Khon,Department of Computer Engineering Faculity of Engineering,Kaen,Thailand","institution_ids":["https://openalex.org/I179193067"]},{"raw_affiliation_string":"Department of Computer Engineering Faculity of Engineering, Khon Kaen University Khon, Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045874662"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69140526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"157","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9986000061035156,"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":0.9986000061035156,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7200927138328552},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7037354111671448},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6816282272338867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6803561449050903},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5953342318534851},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.554665744304657},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5050941109657288},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46312010288238525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.460365891456604},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3585588037967682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200927138328552},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7037354111671448},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6816282272338867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6803561449050903},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5953342318534851},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.554665744304657},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5050941109657288},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46312010288238525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.460365891456604},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3585588037967682},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/skima57145.2022.10029527","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/skima57145.2022.10029527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1869391892","https://openalex.org/W2109255472","https://openalex.org/W2112796928","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2579689107","https://openalex.org/W2618530766","https://openalex.org/W2623225060","https://openalex.org/W2762630287","https://openalex.org/W2963163009","https://openalex.org/W2963857746","https://openalex.org/W2982083293","https://openalex.org/W3004192481","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3035414587","https://openalex.org/W3097096317","https://openalex.org/W3103700576","https://openalex.org/W3106250896","https://openalex.org/W4246193833","https://openalex.org/W4287643567","https://openalex.org/W4297775537","https://openalex.org/W6602002561","https://openalex.org/W6637373629","https://openalex.org/W6639165917","https://openalex.org/W6737664043","https://openalex.org/W6760424586","https://openalex.org/W6777046832","https://openalex.org/W6785718510"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0,154],"the":[1,10,40,46,51,88],"process":[2],"of":[3,48,76,87],"planting,":[4],"weeds":[5,28,72],"will":[6,35,115],"inevitably":[7],"grow":[8],"in":[9,118,188],"farmland,":[11],"and":[12,19,58,69,112,164],"compete":[13],"with":[14],"crops":[15,33],"for":[16,151],"water,":[17],"light":[18],"space,":[20],"which":[21],"obviously":[22],"affect":[23],"our":[24],"normal":[25],"agriculture.":[26],"If":[27],"are":[29],"not":[30],"effectively":[31],"controlled,":[32],"output":[34],"be":[36,116],"seriously":[37],"compromised.":[38],"On":[39],"other":[41,185],"hand,":[42],"it":[43],"also":[44,183],"increases":[45],"number":[47],"pests.":[49],"Nowadays,":[50],"main":[52],"weeding":[53,63,83,152],"methods":[54],"rely":[55],"on":[56,91,129],"labor":[57],"chemical":[59],"herbicide.":[60],"However,":[61],"manual":[62],"is":[64,79,90,168],"inefficient,":[65],"costly,":[66],"time":[67],"consuming":[68],"cannot":[70],"remove":[71],"effectively.":[73],"The":[74,85,101,121],"purpose":[75],"this":[77,119,157],"paper":[78],"to":[80,93,97,140],"propose":[81],"a":[82,130,136,145,172,178],"robot.":[84],"focus":[86],"research":[89],"how":[92],"use":[94],"dual":[95,108,125],"cameras":[96,109,126],"accurately":[98],"detect":[99],"weeds.":[100],"convolutional":[102],"neural":[103],"networks":[104],"(CNNs),":[105],"deep":[106],"learning,":[107],"machine":[110],"vision":[111],"mechanical":[113],"design":[114],"discussed":[117],"paper.":[120],"results":[122],"show":[123],"that":[124,167],"robot":[127],"based":[128],"new":[131],"lightweight":[132,179],"platform":[133,180],"can":[134],"achieve":[135],"high":[137],"accuracy":[138],"compared":[139],"single":[141,173],"camera":[142],"method,":[143],"while":[144],"feasible":[146],"rail":[147],"system":[148],"was":[149],"proposed":[150,182],"robots.":[153],"vegetable":[155],"detection,":[156],"method":[158],"achieves":[159],"98.12%":[160],"precision,":[161],"83.47%":[162],"recall":[163],"89.91%":[165],"mAP":[166],"4.06%":[169],"higher":[170],"than":[171],"top":[174],"view":[175],"camera.":[176],"GF-YOLO,":[177],"we":[181],"outperform":[184],"state-of-the-art":[186],"algorithms":[187],"embedded":[189],"system.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
