{"id":"https://openalex.org/W2896702192","doi":"https://doi.org/10.1145/3264746.3264791","title":"Development of vegetation mapping with deep convolutional neural network","display_name":"Development of vegetation mapping with deep convolutional neural network","publication_year":2018,"publication_date":"2018-10-09","ids":{"openalex":"https://openalex.org/W2896702192","doi":"https://doi.org/10.1145/3264746.3264791","mag":"2896702192"},"language":"en","primary_location":{"id":"doi:10.1145/3264746.3264791","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3264746.3264791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://openprairie.sdstate.edu/etd/2963","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074135921","display_name":"Sae-han Suh","orcid":null},"institutions":[{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]},{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sae-Han Suh","raw_affiliation_strings":["South Dakota State Univ"],"affiliations":[{"raw_affiliation_string":"South Dakota State Univ","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064707853","display_name":"Ji-eun Jhang","orcid":null},"institutions":[{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]},{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji-Eun Jhang","raw_affiliation_strings":["South Dakota State Univ"],"affiliations":[{"raw_affiliation_string":"South Dakota State Univ","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000106707","display_name":"Kwanghee Won","orcid":"https://orcid.org/0000-0003-1717-6881"},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]},{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwanghee Won","raw_affiliation_strings":["South Dakota State Univ"],"affiliations":[{"raw_affiliation_string":"South Dakota State Univ","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I177156846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030116977","display_name":"Sung-Y. Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I177156846","display_name":"South Dakota State University","ror":"https://ror.org/015jmes13","country_code":"US","type":"education","lineage":["https://openalex.org/I177156846"]},{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sung-Y. Shin","raw_affiliation_strings":["South Dakota State Univ"],"affiliations":[{"raw_affiliation_string":"South Dakota State Univ","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I177156846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050023306","display_name":"Chang Oan Sung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117780","display_name":"Indiana University Southeast","ror":"https://ror.org/02eak8n78","country_code":"US","type":"education","lineage":["https://openalex.org/I4210117780","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Oan Sung","raw_affiliation_strings":["Indiana University Southeast"],"affiliations":[{"raw_affiliation_string":"Indiana University Southeast","institution_ids":["https://openalex.org/I4210117780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074135921"],"corresponding_institution_ids":["https://openalex.org/I125467818","https://openalex.org/I177156846"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06273359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"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":0.9994999766349792,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8283780813217163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7030087113380432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5661930441856384},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5449522733688354},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5169072151184082},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5036525130271912},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4968114197254181},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.4951578676700592},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4719974994659424},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46967512369155884},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4070136547088623},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08495759963989258}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8283780813217163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7030087113380432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5661930441856384},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5449522733688354},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5169072151184082},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5036525130271912},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4968114197254181},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.4951578676700592},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4719974994659424},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46967512369155884},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4070136547088623},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08495759963989258},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3264746.3264791","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3264746.3264791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:openprairie.sdstate.edu:etd-3999","is_oa":true,"landing_page_url":"https://openprairie.sdstate.edu/etd/2963","pdf_url":"https://openprairie.sdstate.edu/etd/2963","source":{"id":"https://openalex.org/S4377196457","display_name":"Open PRAIRIE (South Dakota State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177156846","host_organization_name":"South Dakota State University","host_organization_lineage":["https://openalex.org/I177156846"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:openprairie.sdstate.edu:etd-3999","is_oa":true,"landing_page_url":"https://openprairie.sdstate.edu/etd/2963","pdf_url":"https://openprairie.sdstate.edu/etd/2963","source":{"id":"https://openalex.org/S4377196457","display_name":"Open PRAIRIE (South Dakota State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177156846","host_organization_name":"South Dakota State University","host_organization_lineage":["https://openalex.org/I177156846"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Theses and Dissertations","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7699999809265137,"display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317694","display_name":"South Dakota Governor's Office of Economic Development","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2896702192.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W592081968","https://openalex.org/W1686810756","https://openalex.org/W1973514305","https://openalex.org/W1984020445","https://openalex.org/W2031342017","https://openalex.org/W2046875449","https://openalex.org/W2054515210","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2501369945","https://openalex.org/W2622826443","https://openalex.org/W2766939619","https://openalex.org/W2775795276","https://openalex.org/W2963173190","https://openalex.org/W2963459241","https://openalex.org/W2963840672"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167"],"abstract_inverted_index":{"The":[0],"Precision":[1],"Agriculture":[2],"(PA)":[3],"plays":[4],"a":[5,109],"crucial":[6],"part":[7],"in":[8,93,100],"the":[9,14,22,26,33,40,57,60,73,81,112,129,133,136,145],"agricultural":[10],"industry":[11],"about":[12],"improving":[13],"decision-making":[15],"process.":[16],"It":[17],"aims":[18],"to":[19,24,47,71,127,135],"optimally":[20],"allocate":[21],"resources":[23],"maintain":[25],"sustainable":[27],"productivity":[28],"of":[29,35,43,59,75,114,131],"farmland":[30],"and":[31,51],"reduce":[32],"use":[34],"chemical":[36],"compounds.":[37],"[17]":[38],"However,":[39],"on-site":[41],"inspection":[42,121],"vegetations":[44],"often":[45],"falls":[46],"researchers'":[48],"trained":[49],"eye":[50],"experience,":[52],"when":[53],"it":[54,90],"deals":[55],"with":[56],"identification":[58],"non-crop":[61],"vegetations.":[62],"Deep":[63],"Convolution":[64],"Neural":[65],"Network":[66],"(CNN)":[67],"can":[68,97],"be":[69,98],"deployed":[70],"mitigate":[72],"cost":[74],"manual":[76],"classification.":[77],"Although":[78],"CNN":[79,96,115],"outperforms":[80],"other":[82],"traditional":[83],"classifiers,":[84],"such":[85],"as":[86],"Support":[87],"Vector":[88],"Machine,":[89],"is":[91],"still":[92],"question":[94],"whether":[95],"deployable":[99],"an":[101],"industrial":[102],"environment.":[103],"In":[104],"this":[105],"paper,":[106],"we":[107],"conducted":[108],"study":[110,128],"on":[111,119],"feasibility":[113],"for":[116,122],"Vegetation":[117],"Mapping":[118],"lawn":[120],"weeds.":[123],"We":[124],"would":[125],"like":[126],"possibility":[130],"expanding":[132],"concept":[134],"on-site,":[137],"near":[138],"realtime,":[139],"crop":[140],"site":[141],"inspections,":[142],"by":[143],"evaluating":[144],"generated":[146],"results.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}