{"id":"https://openalex.org/W3093109367","doi":"https://doi.org/10.1108/ir-07-2020-0148","title":"An improved particle filtering to locate the crop boundary of an unharvested region using vision","display_name":"An improved particle filtering to locate the crop boundary of an unharvested region using vision","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093109367","doi":"https://doi.org/10.1108/ir-07-2020-0148","mag":"3093109367"},"language":"en","primary_location":{"id":"doi:10.1108/ir-07-2020-0148","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-07-2020-0148","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-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/A5059698669","display_name":"Lihui Wang","orcid":"https://orcid.org/0000-0003-1020-1132"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihui Wang","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113382460","display_name":"Chengshuai Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengshuai Qin","raw_affiliation_strings":["Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103060813","display_name":"Yaoming Li","orcid":"https://orcid.org/0000-0003-1297-9458"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoming Li","raw_affiliation_strings":["Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089564180","display_name":"Jin Chen","orcid":"https://orcid.org/0000-0002-6497-4141"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Chen","raw_affiliation_strings":["School of Mechanical Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004039190","display_name":"Lizhang Xu","orcid":"https://orcid.org/0000-0001-9996-9919"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhang Xu","raw_affiliation_strings":["Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08070997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"48","issue":"2","first_page":"211","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9983999729156494,"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":0.9983999729156494,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.991100013256073,"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/robustness","display_name":"Robustness (evolution)","score":0.6425354480743408},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6315028667449951},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6136865615844727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5423551201820374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393924117088318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4789034426212311},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47793248295783997},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46664857864379883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3640402555465698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28197914361953735},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.10795685648918152}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6425354480743408},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6315028667449951},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6136865615844727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5423551201820374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393924117088318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4789034426212311},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47793248295783997},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46664857864379883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3640402555465698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28197914361953735},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.10795685648918152},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ir-07-2020-0148","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-07-2020-0148","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: the international journal of robotics research and application","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2327583690","https://openalex.org/W2503670596","https://openalex.org/W2559982173","https://openalex.org/W2571115759","https://openalex.org/W2584645667","https://openalex.org/W2611160474","https://openalex.org/W2757463834","https://openalex.org/W2771877920","https://openalex.org/W2792666794","https://openalex.org/W2792891220","https://openalex.org/W2896836473","https://openalex.org/W2898362484","https://openalex.org/W2907652253","https://openalex.org/W2914334949","https://openalex.org/W2920840029","https://openalex.org/W2923621982","https://openalex.org/W2929643417","https://openalex.org/W2969620857","https://openalex.org/W2973048026","https://openalex.org/W2979824401","https://openalex.org/W2986423679","https://openalex.org/W2994896147"],"related_works":["https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W4302986566","https://openalex.org/W2107548121","https://openalex.org/W2135362996","https://openalex.org/W1968585197","https://openalex.org/W2150578674","https://openalex.org/W3041719871","https://openalex.org/W877199042","https://openalex.org/W2122155275"],"abstract_inverted_index":{"Purpose":[0],"Accurately,":[1],"positioning":[2,103,207],"is":[3,52,105,120,158,198,212],"a":[4,76,100,156,193],"fundamental":[5],"requirement":[6],"for":[7,37,123],"vision":[8],"measurement":[9,143],"systems.":[10],"The":[11],"calculation":[12,70],"of":[13,25,46,67,79,91,114,175,196,208],"the":[14,23,26,44,50,55,59,65,84,88,98,108,112,115,117,130,136,142,162,167,173,176,180,191,202,209],"harvesting":[15,28],"width":[16],"can":[17],"not":[18],"only":[19],"help":[20],"farmers":[21],"adjust":[22],"direction":[24],"intelligent":[27],"robot":[29],"in":[30,58],"time":[31],"but":[32],"also":[33,121],"provide":[34],"data":[35],"support":[36],"future":[38],"unmanned":[39],"vehicles.":[40],"Design/methodology/approach":[41],"To":[42,63],"make":[43],"length":[45],"each":[47],"pixel":[48],"equal,":[49],"image":[51],"restored":[53],"to":[54,110,160,200],"aerial":[56],"view":[57],"world":[60],"coordinate":[61],"system.":[62],"solve":[64],"problem":[66],"too":[68,73],"much":[69],"caused":[71],"by":[72],"many":[74],"particles,":[75],"certain":[77],"number":[78],"particles":[80,197],"are":[81,94],"scattered":[82],"near":[83,179],"crop":[85,181,203,210],"boundary":[86,102,124,168,182,204,211],"and":[87,138,164,183,205],"distribution":[89,174],"regularities":[90],"particles\u2019":[92],"weight":[93],"analyzed.":[95],"Based":[96],"on":[97],"analysis,":[99],"novel":[101],"method":[104,132],"presented.":[106],"In":[107,149,190],"meantime,":[109],"improve":[111],"robustness":[113],"algorithm,":[116,192],"back-projection":[118],"algorithm":[119],"used":[122,159,199],"positioning.":[125],"Findings":[126],"Experiments":[127],"demonstrate":[128],"that":[129],"proposed":[131,184],"could":[133],"well":[134],"meet":[135],"precision":[137],"real-time":[139],"requirements":[140],"with":[141],"error":[144],"within":[145],"55":[146],"mm.":[147],"Originality/value":[148],"visual":[150],"target":[151,163],"tracking,":[152],"using":[153],"particle":[154,177,187],"filtering,":[155],"rectangular":[157],"track":[161],"cannot":[165],"obtain":[166],"information.":[169],"This":[170],"paper":[171],"studied":[172],"set":[178],"an":[185],"improved":[186],"filtering":[188],"algorithm.":[189],"small":[194],"amount":[195],"determine":[201],"accurate":[206],"realized.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
