{"id":"https://openalex.org/W2169951053","doi":"https://doi.org/10.13031/2013.29903","title":"Rice plant detection in pre-heading term for autonomous robot navigation","display_name":"Rice plant detection in pre-heading term for autonomous robot navigation","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2169951053","doi":"https://doi.org/10.13031/2013.29903","mag":"2169951053"},"language":"en","primary_location":{"id":"doi:10.13031/2013.29903","doi":"https://doi.org/10.13031/2013.29903","is_oa":false,"landing_page_url":"https://doi.org/10.13031/2013.29903","pdf_url":null,"source":{"id":"https://openalex.org/S4306497753","display_name":"2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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":null,"display_name":"Ryohei Masuda","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryohei Masuda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kazuo Nomura","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuo Nomura","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Kenta Nakayama","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenta Nakayama","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9911999702453613,"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":0.9911999702453613,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10036","display_name":"Advanced Neural Network Applications","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/weed-detection","display_name":"weed detection","score":0.6710000038146973},{"id":"https://openalex.org/keywords/paddy-fields","display_name":"paddy fields","score":0.6970000267028809},{"id":"https://openalex.org/keywords/autonomous-robot-navigation","display_name":"autonomous robot navigation","score":0.7509999871253967},{"id":"https://openalex.org/keywords/levees","display_name":"levees","score":0.7580000162124634},{"id":"https://openalex.org/keywords/gabor-filters","display_name":"Gabor filters","score":0.8999999761581421},{"id":"https://openalex.org/keywords/directional-features","display_name":"directional features","score":0.6359999775886536},{"id":"https://openalex.org/keywords/image-based-object-detection","display_name":"image-based object detection","score":0.531000018119812}],"concepts":[{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.7863308191299438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7362854480743408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7218180894851685},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.6578484773635864},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5841530561447144},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5490524768829346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.524387776851654},{"id":"https://openalex.org/C2992726227","wikidata":"https://www.wikidata.org/wiki/Q5090","display_name":"Rice plant","level":2,"score":0.5153864622116089},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47402670979499817},{"id":"https://openalex.org/C85582077","wikidata":"https://www.wikidata.org/wiki/Q842623","display_name":"Paddy field","level":2,"score":0.46453481912612915},{"id":"https://openalex.org/C2775891814","wikidata":"https://www.wikidata.org/wiki/Q101879","display_name":"Weed","level":2,"score":0.45661044120788574},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4558985233306885},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41312795877456665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21940413117408752},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2189916968345642},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.2077331244945526},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13031/2013.29903","doi":"https://doi.org/10.13031/2013.29903","is_oa":false,"landing_page_url":"https://doi.org/10.13031/2013.29903","pdf_url":null,"source":{"id":"https://openalex.org/S4306497753","display_name":"2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6807000041007996}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2016098354","https://openalex.org/W2024139303","https://openalex.org/W2046845225","https://openalex.org/W2077664062"],"related_works":["https://openalex.org/W4391186379","https://openalex.org/W589019094","https://openalex.org/W4313160880","https://openalex.org/W3096293319","https://openalex.org/W7204140009","https://openalex.org/W2510167082","https://openalex.org/W2041911296","https://openalex.org/W3199238879","https://openalex.org/W7117659104","https://openalex.org/W2290119237"],"abstract_inverted_index":{"For":[0],"autonomous":[1],"robot":[2,14],"navigation":[3],"on":[4,64,118,139],"levee":[5],"in":[6,33,42,74,94,106,125],"paddy":[7,36,40,88],"field,":[8],"it":[9,112,122,162],"is":[10,24,51],"necessary":[11],"for":[12],"the":[13,65,75,107,119],"to":[15,25,29,81,133,152,166],"distinguish":[16],"between":[17,46],"rice":[18,31,47,68,103],"plant":[19,32,48,69,104],"and":[20,49,77,117,161],"weed.":[21],"Our":[22],"objective":[23],"develop":[26,134],"a":[27,52,135],"method":[28,137,149],"detect":[30],"image":[34,76,108],"of":[35,57,87,144],"field.":[37],"We":[38,62,84,97,168],"address":[39],"field":[41],"pre-heading":[43],"term.":[44],"Distinction":[45],"weed":[50],"challenging":[53],"problem":[54],"because":[55],"colors":[56],"them":[58],"are":[59],"very":[60],"similar.":[61],"focused":[63],"fact":[66],"that":[67,99,147],"leaves":[70,105],"have":[71],"directional":[72],"feature":[73,130],"used":[78,85],"Gabor":[79,100,140],"filter":[80],"capture":[82],"it.":[83],"images":[86],"fields":[89],"taken":[90],"by":[91],"digital":[92],"camera":[93],"this":[95],"research.":[96],"found":[98],"function":[101,151],"matched":[102,123],"more":[109],"strongly":[110],"when":[111],"had":[113],"nearly":[114],"vertical":[115],"direction":[116],"other":[120],"hand,":[121],"weeds":[124],"rather":[126],"many":[127],"directions.":[128],"This":[129],"enabled":[131],"us":[132],"detection":[136],"based":[138],"filter.":[141],"The":[142],"results":[143],"experiments":[145],"showed":[146],"our":[148],"could":[150],"some":[153,159],"extent,":[154],"but":[155],"there":[156],"were":[157],"still":[158],"misjudgment":[160],"took":[163],"long":[164],"time":[165],"process.":[167],"discuss":[169],"about":[170],"further":[171],"improvements.":[172]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}