{"id":"https://openalex.org/W3014487351","doi":"https://doi.org/10.1155/2020/1909875","title":"Grass Leaf Identification Using dbN Wavelet and CILBP","display_name":"Grass Leaf Identification Using dbN Wavelet and CILBP","publication_year":2020,"publication_date":"2020-04-04","ids":{"openalex":"https://openalex.org/W3014487351","doi":"https://doi.org/10.1155/2020/1909875","mag":"3014487351"},"language":"en","primary_location":{"id":"doi:10.1155/2020/1909875","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/1909875","pdf_url":"https://downloads.hindawi.com/journals/am/2020/1909875.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/am/2020/1909875.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101624264","display_name":"Fan Han","orcid":"https://orcid.org/0000-0001-5425-6966"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Han","raw_affiliation_strings":["Beijing Erdos International Media Advertising Limited Company, Beijing 100032, China","College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"],"raw_orcid":"https://orcid.org/0000-0001-5425-6966","affiliations":[{"raw_affiliation_string":"Beijing Erdos International Media Advertising Limited Company, Beijing 100032, China","institution_ids":[]},{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078825020","display_name":"Xue Jun Qiao","orcid":"https://orcid.org/0000-0003-4376-8362"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Qiao","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"],"raw_orcid":"https://orcid.org/0000-0003-4376-8362","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694242","display_name":"MA Yu-bao","orcid":"https://orcid.org/0000-0002-5035-8890"},"institutions":[{"id":"https://openalex.org/I4210156847","display_name":"Institute of Grassland Research","ror":"https://ror.org/04vmpjr08","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987","https://openalex.org/I4210156847"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubao Ma","raw_affiliation_strings":["Institute of Grassland Research of CAAS, Inner Mongolia, Hohhot 010020, China"],"raw_orcid":"https://orcid.org/0000-0002-5035-8890","affiliations":[{"raw_affiliation_string":"Institute of Grassland Research of CAAS, Inner Mongolia, Hohhot 010020, China","institution_ids":["https://openalex.org/I4210156847"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609479","display_name":"Weihong Yan","orcid":"https://orcid.org/0000-0001-6237-9712"},"institutions":[{"id":"https://openalex.org/I4210156847","display_name":"Institute of Grassland Research","ror":"https://ror.org/04vmpjr08","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987","https://openalex.org/I4210156847"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihong Yan","raw_affiliation_strings":["Institute of Grassland Research of CAAS, Inner Mongolia, Hohhot 010020, China"],"raw_orcid":"https://orcid.org/0000-0001-6237-9712","affiliations":[{"raw_affiliation_string":"Institute of Grassland Research of CAAS, Inner Mongolia, Hohhot 010020, China","institution_ids":["https://openalex.org/I4210156847"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352835","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0003-2746-6049"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"],"raw_orcid":"https://orcid.org/0000-0003-2746-6049","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100606630","display_name":"Xin Pan","orcid":"https://orcid.org/0000-0002-0093-5143"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Pan","raw_affiliation_strings":["College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"],"raw_orcid":"https://orcid.org/0000-0002-0093-5143","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China","institution_ids":["https://openalex.org/I120379545"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100606630"],"corresponding_institution_ids":["https://openalex.org/I120379545"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":0.6937,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77911527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9984999895095825,"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":0.9984999895095825,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9508000016212463,"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/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.7117839455604553},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6618061065673828},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6488301753997803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6154478788375854},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.52229905128479},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.48988407850265503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48560991883277893},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.45428988337516785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44779089093208313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42819535732269287},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.41143831610679626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14902064204216003},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.11122599244117737},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10328701138496399},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07974588871002197}],"concepts":[{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.7117839455604553},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6618061065673828},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6488301753997803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6154478788375854},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.52229905128479},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.48988407850265503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48560991883277893},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.45428988337516785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44779089093208313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42819535732269287},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.41143831610679626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14902064204216003},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.11122599244117737},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10328701138496399},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07974588871002197},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2020/1909875","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/1909875","pdf_url":"https://downloads.hindawi.com/journals/am/2020/1909875.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:231adbcd598143aea16157fdb9ea3849","is_oa":true,"landing_page_url":"https://doaj.org/article/231adbcd598143aea16157fdb9ea3849","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Multimedia, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/1909875","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/1909875","pdf_url":"https://downloads.hindawi.com/journals/am/2020/1909875.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"},{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G3880295615","display_name":"\u8349\u539f\u5149\u8c31\u56fe\u50cf\u4fe1\u606f\u63d0\u53d6\u4e0e\u878d\u5408\u5173\u952e\u6280\u672f\u7684\u7814\u7a76","funder_award_id":"61962048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6725329516","display_name":"\u57fa\u4e8e\u53ef\u89c1\u5149\u56fe\u50cf\u7684\u7267\u8349\u8bc6\u522b\u5173\u952e\u6280\u672f\u7684\u7814\u7a76","funder_award_id":"61562067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014487351.pdf","grobid_xml":"https://content.openalex.org/works/W3014487351.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2039051707","https://openalex.org/W2163352848","https://openalex.org/W2514762989","https://openalex.org/W2616728375","https://openalex.org/W2769636271","https://openalex.org/W3141523827"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2367652182","https://openalex.org/W1915958221","https://openalex.org/W2037074416","https://openalex.org/W2174180450","https://openalex.org/W1519931592","https://openalex.org/W2101207231","https://openalex.org/W2741873457","https://openalex.org/W2142192217"],"abstract_inverted_index":{"Grass":[0],"is":[1],"one":[2],"of":[3,15,40,66,78,87,116],"the":[4,9,12,19,38,76,88,97,101,107,117,126],"most":[5],"important":[6],"resources":[7],"in":[8,113],"ecosystem":[10],"for":[11,56,80,120],"sustainable":[13],"development":[14],"human":[16],"beings.":[17],"However,":[18],"studies":[20],"focusing":[21],"on":[22,60],"grass":[23,57,121],"identification,":[24],"which":[25],"were":[26],"traditionally":[27],"implemented":[28],"by":[29,70,125],"experts":[30],"with":[31,106],"low":[32],"efficiency":[33],"and":[34,53],"precision,":[35],"cannot":[36],"meet":[37],"requirements":[39],"modern":[41],"grassland":[42],"management.":[43],"In":[44],"this":[45],"study,":[46],"we":[47],"proposed":[48,89,118],"cubic":[49],"interpolation":[50],"LBP":[51],"(CILBP)":[52],"dbN":[54,71],"wavelets":[55,72],"identification":[58,114],"based":[59],"leaf":[61,67,122],"images.":[62],"A":[63],"low-frequency":[64,102],"component":[65],"images":[68],"decomposed":[69],"was":[73,91,123],"used":[74],"as":[75,104],"input":[77],"CILBP":[79,93],"more":[81],"subtle":[82],"texture":[83,98],"extraction.":[84],"The":[85,111],"novelty":[86],"method":[90,119],"that":[92],"can":[94],"better":[95],"describe":[96],"features":[99],"from":[100],"subimage,":[103],"compared":[105],"original":[108],"bilinear":[109],"LBP.":[110],"effectiveness":[112],"accuracy":[115],"demonstrated":[124],"experimental":[127],"results.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}