{"id":"https://openalex.org/W4382402702","doi":"https://doi.org/10.3390/rs15133295","title":"Intelligent Identification of Pine Wilt Disease Infected Individual Trees Using UAV-Based Hyperspectral Imagery","display_name":"Intelligent Identification of Pine Wilt Disease Infected Individual Trees Using UAV-Based Hyperspectral Imagery","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4382402702","doi":"https://doi.org/10.3390/rs15133295"},"language":"en","primary_location":{"id":"doi:10.3390/rs15133295","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133295","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3295/pdf?version=1687868195","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/13/3295/pdf?version=1687868195","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101715115","display_name":"Haocheng Li","orcid":"https://orcid.org/0000-0002-3254-3259"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haocheng Li","raw_affiliation_strings":["Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336383","display_name":"Long Chen","orcid":"https://orcid.org/0000-0002-1491-1740"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058703731","display_name":"Zongqi Yao","orcid":"https://orcid.org/0000-0003-4826-2141"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongqi Yao","raw_affiliation_strings":["Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043234820","display_name":"Niwen 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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niwen Li","raw_affiliation_strings":["Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108103575","display_name":"Lin Long","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Long","raw_affiliation_strings":["Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053557314","display_name":"Xiaoli Zhang","orcid":"https://orcid.org/0000-0001-7443-1557"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoli Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5053557314"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":8.9876,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98353998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":"13","first_page":"3295","last_page":"3295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9927999973297119,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T12894","display_name":"Date Palm Research Studies","score":0.9907000064849854,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9878000020980835,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8844252824783325},{"id":"https://openalex.org/keywords/bursaphelenchus-xylophilus","display_name":"Bursaphelenchus xylophilus","score":0.7833365797996521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7200448513031006},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6212940812110901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5950973629951477},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5759150385856628},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.574491024017334},{"id":"https://openalex.org/keywords/wilt-disease","display_name":"Wilt disease","score":0.510216236114502},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5001897811889648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4559742212295532},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43376457691192627},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.11712032556533813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10897809267044067},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0877474844455719},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07567229866981506}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8844252824783325},{"id":"https://openalex.org/C2779442720","wikidata":"https://www.wikidata.org/wiki/Q1197786","display_name":"Bursaphelenchus xylophilus","level":3,"score":0.7833365797996521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200448513031006},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6212940812110901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5950973629951477},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5759150385856628},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.574491024017334},{"id":"https://openalex.org/C2776678335","wikidata":"https://www.wikidata.org/wiki/Q3281368","display_name":"Wilt disease","level":2,"score":0.510216236114502},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5001897811889648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4559742212295532},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43376457691192627},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.11712032556533813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10897809267044067},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0877474844455719},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07567229866981506},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2778830712","wikidata":"https://www.wikidata.org/wiki/Q5185","display_name":"Nematode","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15133295","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133295","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3295/pdf?version=1687868195","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5324715c6cc942a28d6138a680631b30","is_oa":true,"landing_page_url":"https://doaj.org/article/5324715c6cc942a28d6138a680631b30","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 13, p 3295 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/13/3295/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15133295","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 13; Pages: 3295","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15133295","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15133295","pdf_url":"https://www.mdpi.com/2072-4292/15/13/3295/pdf?version=1687868195","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5056440611","display_name":null,"funder_award_id":"31870534","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6408967498","display_name":null,"funder_award_id":"59257","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":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382402702.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W309894395","https://openalex.org/W1968314959","https://openalex.org/W1993564711","https://openalex.org/W2001619934","https://openalex.org/W2069881741","https://openalex.org/W2079734847","https://openalex.org/W2082504427","https://openalex.org/W2084515207","https://openalex.org/W2097492507","https://openalex.org/W2098340851","https://openalex.org/W2102605133","https://openalex.org/W2108489839","https://openalex.org/W2138973222","https://openalex.org/W2193145675","https://openalex.org/W2257622004","https://openalex.org/W2397741397","https://openalex.org/W2538859165","https://openalex.org/W2556502614","https://openalex.org/W2611159092","https://openalex.org/W2806070179","https://openalex.org/W2963037989","https://openalex.org/W2964609915","https://openalex.org/W3017365251","https://openalex.org/W3026381557","https://openalex.org/W3043099396","https://openalex.org/W3047930143","https://openalex.org/W3106250896","https://openalex.org/W3106930970","https://openalex.org/W3126306463","https://openalex.org/W3145726170","https://openalex.org/W3164557208","https://openalex.org/W3178598619","https://openalex.org/W3201650802","https://openalex.org/W3205379064","https://openalex.org/W4206007256","https://openalex.org/W4283591366","https://openalex.org/W4283822762","https://openalex.org/W4287958154","https://openalex.org/W4367051979","https://openalex.org/W6692154155","https://openalex.org/W6728365515"],"related_works":["https://openalex.org/W2386576518","https://openalex.org/W3126378123","https://openalex.org/W2362166367","https://openalex.org/W4376116439","https://openalex.org/W2384004801","https://openalex.org/W2388200268","https://openalex.org/W2488848025","https://openalex.org/W294855137","https://openalex.org/W2065520220","https://openalex.org/W2036538963"],"abstract_inverted_index":{"The":[0,154],"pine":[1,42,213],"wood":[2],"nematode":[3],"(PWN;":[4],"Bursaphelenchus":[5],"xylophilus)":[6],"is":[7,46],"a":[8,47,121,260],"major":[9],"invasive":[10],"species":[11],"in":[12,95,208],"China,":[13],"causing":[14],"huge":[15],"economic":[16],"and":[17,30,37,51,55,72,75,103,116,140,183,230,237,248,267],"ecological":[18],"damage":[19],"to":[20,24,91,97,132],"the":[21,25,31,77,134,166,170,175,184,204,210,226,249],"country":[22],"due":[23],"absence":[26],"of":[27,35,41,136,152,169,200,220,257,269],"natural":[28],"enemies":[29],"extremely":[32],"rapid":[33],"rate":[34],"infection":[36],"spread.":[38],"Accurate":[39],"monitoring":[40,266],"wilt":[43],"disease":[44],"(PWD)":[45],"prerequisite":[48],"for":[49,62,79,144,163,239,264],"timely":[50],"effective":[52,236],"disaster":[53],"prevention":[54],"control.":[56],"UAVs":[57],"can":[58,68,86],"carry":[59],"hyperspectral":[60,142,246],"sensors":[61],"near-ground":[63],"remote":[64],"sensing":[65],"observations,":[66],"which":[67,209],"obtain":[69],"rich":[70,88],"spatial":[71],"spectral":[73],"information":[74],"have":[76],"potential":[78],"infected":[80,146,212],"tree":[81,129,194],"identification.":[82,105],"Deep":[83],"learning":[84,138],"techniques":[85],"use":[87],"multidimensional":[89],"data":[90,180],"mine":[92],"deep":[93,137],"features":[94],"order":[96],"achieve":[98],"tasks":[99],"such":[100],"as":[101,178],"classification":[102,124,190],"target":[104],"Therefore,":[106],"we":[107],"propose":[108],"an":[109,117,127,197,218],"improved":[110,171,227],"Mask":[111,172,228],"R-CNN":[112,173,229],"instance":[113],"segmentation":[114,130,195],"method":[115,186,234],"integrated":[118,185,231,251],"approach":[119],"combining":[120,187],"prototypical":[122,188,232,252],"network":[123,189,233,253],"model":[125,191],"with":[126,174,192,217],"individual":[128,147,193,241],"algorithm":[131],"verify":[133],"possibility":[135],"models":[139],"UAV":[141,245],"imagery":[143],"identifying":[145],"trees":[148,214,242],"at":[149],"different":[150],"stages":[151],"PWD.":[153,270],"results":[155],"showed":[156],"that":[157,225],"both":[158],"methods":[159],"achieved":[160],"good":[161],"performance":[162],"PWD":[164],"identification:":[165],"overall":[167,198],"accuracy":[168,199,219],"screened":[176,205],"bands":[177,206],"input":[179],"was":[181],"71%,":[182],"obtained":[196],"83.51%":[201],"based":[202],"on":[203],"data,":[207,247],"early":[211,255,265],"were":[215],"identified":[216],"74.89%.":[221],"This":[222],"study":[223],"indicates":[224],"are":[235],"practical":[238],"PWD-infected":[240],"identification":[243,256],"using":[244],"proposed":[250],"enables":[254],"PWD,":[258],"providing":[259],"new":[261],"technical":[262],"guidance":[263],"control":[268]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-06-29T00:00:00"}