{"id":"https://openalex.org/W1850315849","doi":"https://doi.org/10.1007/978-0-387-77253-0_43","title":"Analysis and Testing of Weed Real-time Identification Based on Neural Network","display_name":"Analysis and Testing of Weed Real-time Identification Based on Neural Network","publication_year":2008,"publication_date":"2008-03-24","ids":{"openalex":"https://openalex.org/W1850315849","doi":"https://doi.org/10.1007/978-0-387-77253-0_43","mag":"1850315849"},"language":"en","primary_location":{"id":"doi:10.1007/978-0-387-77253-0_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77253-0_43","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-77253-0_43.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-77253-0_43.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054991549","display_name":"Yan Shi","orcid":"https://orcid.org/0000-0001-7654-6788"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Shi","raw_affiliation_strings":["Architecture and engineering college, Qingdao Agricultural University, China","Qingdao Agricultural University"],"affiliations":[{"raw_affiliation_string":"Architecture and engineering college, Qingdao Agricultural University, China","institution_ids":["https://openalex.org/I146773158"]},{"raw_affiliation_string":"Qingdao Agricultural University","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038086025","display_name":"Haibo Yuan","orcid":"https://orcid.org/0000-0003-3277-672X"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Yuan","raw_affiliation_strings":["College of Engine & Electronic Engineering, Qingdao Agricultural University, China","Qingdao Agricultural University"],"affiliations":[{"raw_affiliation_string":"College of Engine & Electronic Engineering, Qingdao Agricultural University, China","institution_ids":["https://openalex.org/I146773158"]},{"raw_affiliation_string":"Qingdao Agricultural University","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023010782","display_name":"Anbo Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anbo Liang","raw_affiliation_strings":["International Intercommunion School, Qingdao Agricultural University, China","Qingdao Agricultural University"],"affiliations":[{"raw_affiliation_string":"International Intercommunion School, Qingdao Agricultural University, China","institution_ids":["https://openalex.org/I146773158"]},{"raw_affiliation_string":"Qingdao Agricultural University","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068871639","display_name":"Chun-Mei Zhang","orcid":"https://orcid.org/0000-0002-4682-0384"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunmei Zhang","raw_affiliation_strings":["College of Engine & Electronic Engineering, Qingdao Agricultural University, China","Qingdao Agricultural University"],"affiliations":[{"raw_affiliation_string":"College of Engine & Electronic Engineering, Qingdao Agricultural University, China","institution_ids":["https://openalex.org/I146773158"]},{"raw_affiliation_string":"Qingdao Agricultural University","institution_ids":["https://openalex.org/I146773158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054991549"],"corresponding_institution_ids":["https://openalex.org/I146773158"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.22926829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1095","last_page":"1101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.8598999977111816,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.8598999977111816,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.8561000227928162,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.8133000135421753,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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","display_name":"Weed","score":0.8680806756019592},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.5526075959205627},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5387452840805054},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5163525342941284},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5010936260223389},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47292500734329224},{"id":"https://openalex.org/keywords/weed-control","display_name":"Weed control","score":0.42495888471603394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3960387408733368},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.3886835277080536},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3440834879875183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30634403228759766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27199167013168335},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1993459165096283},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14634716510772705},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.10017678141593933}],"concepts":[{"id":"https://openalex.org/C2775891814","wikidata":"https://www.wikidata.org/wiki/Q101879","display_name":"Weed","level":2,"score":0.8680806756019592},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.5526075959205627},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5387452840805054},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5163525342941284},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5010936260223389},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47292500734329224},{"id":"https://openalex.org/C147273371","wikidata":"https://www.wikidata.org/wiki/Q2739141","display_name":"Weed control","level":2,"score":0.42495888471603394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3960387408733368},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.3886835277080536},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3440834879875183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30634403228759766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27199167013168335},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1993459165096283},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14634716510772705},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.10017678141593933},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-0-387-77253-0_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77253-0_43","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-77253-0_43.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-0-387-77253-0_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-0-387-77253-0_43","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-0-387-77253-0_43.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Federation for Information Processing","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1850315849.pdf","grobid_xml":"https://content.openalex.org/works/W1850315849.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W1983848563","https://openalex.org/W2042875193","https://openalex.org/W2059643777"],"related_works":["https://openalex.org/W2506386864","https://openalex.org/W3049256127","https://openalex.org/W2019082283","https://openalex.org/W2096287037","https://openalex.org/W2076074519","https://openalex.org/W1592917383","https://openalex.org/W1966322886","https://openalex.org/W2279742145","https://openalex.org/W2486520318","https://openalex.org/W2754824423"],"abstract_inverted_index":{"Contrasting":[0],"the":[1,11,13,20,23,27,34,41,54,57,69,85,89,96,100],"two":[2],"green":[3],"strength":[4],"genes":[5],"of":[6,36,45,64,74,102],"soil,":[7],"wheat,":[8],"corn,":[9],"and":[10,29,43,59],"weed,":[12],"paper":[14],"designed":[15],"a":[16,94],"system":[17,97],"to":[18,39],"identify":[19,53],"weed":[21,55,76],"from":[22,56],"crop.":[24],"It":[25],"used":[26],"2G-R-B":[28],"BP":[30],"neural":[31],"network,":[32],"with":[33,61],"help":[35],"pixel-position-histogram":[37],"diagram,":[38],"calculate":[40],"area":[42],"position":[44],"weeds.":[46],"The":[47,66],"result":[48,70],"showed":[49],"that":[50,71],"it":[51],"could":[52],"field":[58,79],"crop":[60],"an":[62],"accuracy":[63],"93%.":[65],"program":[67],"gave":[68],"running":[72],"time":[73,90],"identifying":[75],"in":[77],"wheat":[78],"was":[80,87,91],"273.31ms.":[81],"As":[82],"far":[83],"as":[84],"corn":[86],"concerned,":[88],"321.94ms,":[92],"In":[93],"word,":[95],"can":[98],"satisfy":[99],"request":[101],"real-time.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}