{"id":"https://openalex.org/W2068195207","doi":"https://doi.org/10.1109/icarcv.2014.7064309","title":"Study on spike detection of cereal plants","display_name":"Study on spike detection of cereal plants","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2068195207","doi":"https://doi.org/10.1109/icarcv.2014.7064309","mag":"2068195207"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2014.7064309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","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/A5001550592","display_name":"Qiongyan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU","CN"],"is_corresponding":true,"raw_author_name":"Li Qiongyan","raw_affiliation_strings":["Phenomics and Bioinformatics Research Centre, University of South Australia, Mawson Lakes, SA, Australia","School of Engineering, Beijing Forestry University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Phenomics and Bioinformatics Research Centre, University of South Australia, Mawson Lakes, SA, Australia","institution_ids":["https://openalex.org/I170239107"]},{"raw_affiliation_string":"School of Engineering, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036994322","display_name":"Jinhai Cai","orcid":"https://orcid.org/0000-0002-7298-1579"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]},{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]},{"id":"https://openalex.org/I112745207","display_name":"Australian Centre for Plant Functional Genomics","ror":"https://ror.org/00xwvfm64","country_code":"AU","type":"facility","lineage":["https://openalex.org/I112745207"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinhai Cai","raw_affiliation_strings":["Australian Centre for Plant Function Genomics, The University of Adelaide, Urrbrae, SA, Australia","Phenomics and Bioinformatics Research Centre, University of South Australia, Mawson Lakes, SA, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Centre for Plant Function Genomics, The University of Adelaide, Urrbrae, SA, Australia","institution_ids":["https://openalex.org/I112745207","https://openalex.org/I5681781"]},{"raw_affiliation_string":"Phenomics and Bioinformatics Research Centre, University of South Australia, Mawson Lakes, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022471848","display_name":"Bettina Berger","orcid":"https://orcid.org/0000-0003-1195-4478"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bettina Berger","raw_affiliation_strings":["The Plant Accelerator, The University of Adelaide, Urrbrae, SA, Australia"],"affiliations":[{"raw_affiliation_string":"The Plant Accelerator, The University of Adelaide, Urrbrae, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047243168","display_name":"Stanley J. Miklavcic","orcid":"https://orcid.org/0000-0002-2361-246X"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]},{"id":"https://openalex.org/I112745207","display_name":"Australian Centre for Plant Functional Genomics","ror":"https://ror.org/00xwvfm64","country_code":"AU","type":"facility","lineage":["https://openalex.org/I112745207"]},{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stan Miklavcic","raw_affiliation_strings":["Australian Centre for Plant Function Genomics, The University of Adelaide, Urrbrae, SA, Australia","Phenomics and Bioinformatics Research Centre, University of South Australia, Mawson Lakes, SA, Australia"],"affiliations":[{"raw_affiliation_string":"Australian Centre for Plant Function Genomics, The University of Adelaide, Urrbrae, SA, Australia","institution_ids":["https://openalex.org/I112745207","https://openalex.org/I5681781"]},{"raw_affiliation_string":"Phenomics and Bioinformatics Research Centre, University of South Australia, Mawson Lakes, SA, Australia","institution_ids":["https://openalex.org/I170239107"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001550592"],"corresponding_institution_ids":["https://openalex.org/I170239107","https://openalex.org/I31683504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.08668996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"228","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9962000250816345,"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":0.9962000250816345,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9932000041007996,"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"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9664000272750854,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7248257994651794},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6835230588912964},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6688084602355957},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.6450845003128052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6409633755683899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6108543276786804},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5536728501319885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.513563871383667},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5110081434249878},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4626982808113098},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4238671660423279},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.41374409198760986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28265058994293213},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0994049608707428}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7248257994651794},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6835230588912964},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6688084602355957},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.6450845003128052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6409633755683899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6108543276786804},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5536728501319885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.513563871383667},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5110081434249878},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4626982808113098},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4238671660423279},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.41374409198760986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28265058994293213},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0994049608707428},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icarcv.2014.7064309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/108565","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/108565","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/icarcv.2014.7064309","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W145358992","https://openalex.org/W1978238148","https://openalex.org/W2025238960","https://openalex.org/W2041862559","https://openalex.org/W2043120745","https://openalex.org/W2056328002","https://openalex.org/W2059432853","https://openalex.org/W2061133004","https://openalex.org/W2063603851","https://openalex.org/W2066402632","https://openalex.org/W2113650287","https://openalex.org/W2128866545","https://openalex.org/W2133059825","https://openalex.org/W2141169458","https://openalex.org/W2143058286","https://openalex.org/W2163352848","https://openalex.org/W2163450852","https://openalex.org/W2168977926","https://openalex.org/W2337787003","https://openalex.org/W2399544684"],"related_works":["https://openalex.org/W2769135912","https://openalex.org/W2174331923","https://openalex.org/W2134068246","https://openalex.org/W2062974934","https://openalex.org/W2050175337","https://openalex.org/W3050304047","https://openalex.org/W2329992713","https://openalex.org/W2385487847","https://openalex.org/W2385476654","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,20],"spike":[1,47,108],"of":[2,28,68,124,135,171],"a":[3,45,97,129],"cereal":[4],"plant":[5,18,69],"is":[6,63,80,105,161],"the":[7,66,92,118,133,136,140,158],"grain-bearing":[8],"organ":[9],"whose":[10],"physical":[11],"properties":[12],"are":[13,88,114,142],"therefore":[14],"critical":[15],"components":[16],"for":[17,107],"yield.":[19],"ability":[21],"to":[22,82,90],"detect":[23],"spikes":[24,113,125,141,167],"from":[25,71],"2D":[26],"images":[27],"cereals,":[29],"such":[30],"as":[31],"wheat,":[32],"provides":[33],"vital":[34],"information":[35],"on":[36,117],"tiller":[37],"number":[38],"and":[39,54,111,121,126,146,164],"plants":[40],"yield":[41],"potential.":[42],"We":[43],"propose":[44],"novel":[46],"detection":[48],"method,":[49],"which":[50],"uses":[51],"both":[52],"RGB":[53,74],"fluorescence":[55,83],"images.":[56,84],"Firstly,":[57],"an":[58,169],"improved":[59],"colour":[60,78],"index":[61],"method":[62,100,160],"used":[64,89],"in":[65],"segmentation":[67,79,94],"feature":[70],"visible":[72],"light":[73],"images,":[75],"while":[76],"threshold":[77],"applied":[81],"Secondly,":[85],"morphology":[86],"algorithms":[87],"refine":[91],"initial":[93],"results.":[95],"Thirdly,":[96],"neural":[98],"network-based":[99],"using":[101,144],"Laws":[102],"texture":[103],"energy":[104],"performed":[106],"detection;":[109],"connected":[110],"overlapping":[112,137],"identified":[115],"based":[116],"average":[119,122],"area":[120,145],"perimeter":[123],"separated":[127],"by":[128],"straight":[130],"line":[131],"through":[132],"center":[134],"region.":[138],"Finally,":[139],"extracted":[143],"height":[147],"thresholds.":[148],"Experimental":[149],"results":[150],"with":[151,168],"two":[152],"data":[153],"sets":[154],"have":[155],"shown":[156],"that":[157],"proposed":[159],"simple,":[162],"practical":[163],"can":[165],"identify":[166],"accuracy":[170],"over":[172],"80%.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}