{"id":"https://openalex.org/W4400682696","doi":"https://doi.org/10.3390/info15070411","title":"DPP: A Novel Disease Progression Prediction Method for Ginkgo Leaf Disease Based on Image Sequences","display_name":"DPP: A Novel Disease Progression Prediction Method for Ginkgo Leaf Disease Based on Image Sequences","publication_year":2024,"publication_date":"2024-07-16","ids":{"openalex":"https://openalex.org/W4400682696","doi":"https://doi.org/10.3390/info15070411"},"language":"en","primary_location":{"id":"doi:10.3390/info15070411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15070411","pdf_url":"https://www.mdpi.com/2078-2489/15/7/411/pdf?version=1721119911","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"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":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/15/7/411/pdf?version=1721119911","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111258730","display_name":"Shubao Yao","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":"Shubao Yao","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071321838","display_name":"Jianhui Lin","orcid":"https://orcid.org/0000-0002-5868-9360"},"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":"Jianhui Lin","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111661315","display_name":"Hao Bai","orcid":"https://orcid.org/0009-0006-1958-1054"},"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":"Hao Bai","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071321838"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":1.3648,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83772394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"7","first_page":"411","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9781000018119812,"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":0.9781000018119812,"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/T12846","display_name":"Ginkgo biloba and Cashew Applications","score":0.9373999834060669,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9320999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ginkgo","display_name":"Ginkgo","score":0.8200231790542603},{"id":"https://openalex.org/keywords/ginkgo-biloba","display_name":"Ginkgo biloba","score":0.7488155364990234},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6054831147193909},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6029934287071228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5811735391616821},{"id":"https://openalex.org/keywords/blight","display_name":"Blight","score":0.5674104690551758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5221726894378662},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.481315016746521},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4210317134857178},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.4201752841472626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3706958293914795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37027233839035034},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3326977491378784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27108490467071533},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22519075870513916},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22412708401679993},{"id":"https://openalex.org/keywords/traditional-medicine","display_name":"Traditional medicine","score":0.11074161529541016},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.09793689846992493},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09572362899780273}],"concepts":[{"id":"https://openalex.org/C2779706397","wikidata":"https://www.wikidata.org/wiki/Q149461","display_name":"Ginkgo","level":2,"score":0.8200231790542603},{"id":"https://openalex.org/C2778998842","wikidata":"https://www.wikidata.org/wiki/Q43284","display_name":"Ginkgo biloba","level":2,"score":0.7488155364990234},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6054831147193909},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6029934287071228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5811735391616821},{"id":"https://openalex.org/C182076605","wikidata":"https://www.wikidata.org/wiki/Q4273292","display_name":"Blight","level":2,"score":0.5674104690551758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5221726894378662},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.481315016746521},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4210317134857178},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.4201752841472626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3706958293914795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37027233839035034},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3326977491378784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27108490467071533},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22519075870513916},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22412708401679993},{"id":"https://openalex.org/C556039675","wikidata":"https://www.wikidata.org/wiki/Q771035","display_name":"Traditional medicine","level":1,"score":0.11074161529541016},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.09793689846992493},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09572362899780273},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info15070411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15070411","pdf_url":"https://www.mdpi.com/2078-2489/15/7/411/pdf?version=1721119911","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"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":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:51d2112976134c1a8f68b32ac718b8f5","is_oa":true,"landing_page_url":"https://doaj.org/article/51d2112976134c1a8f68b32ac718b8f5","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":"Information, Vol 15, Iss 7, p 411 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info15070411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15070411","pdf_url":"https://www.mdpi.com/2078-2489/15/7/411/pdf?version=1721119911","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"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":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400682696.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W2133665775","https://openalex.org/W2476548250","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2766276466","https://openalex.org/W2886054370","https://openalex.org/W2962793481","https://openalex.org/W2983376237","https://openalex.org/W2988980823","https://openalex.org/W2991559313","https://openalex.org/W3001317580","https://openalex.org/W3009534488","https://openalex.org/W3012295089","https://openalex.org/W3013471216","https://openalex.org/W3015879326","https://openalex.org/W3120304543","https://openalex.org/W3138340468","https://openalex.org/W3165159700","https://openalex.org/W3177339245","https://openalex.org/W3183714515","https://openalex.org/W3196626855","https://openalex.org/W3199924558","https://openalex.org/W3217152393","https://openalex.org/W4205708541","https://openalex.org/W4213160662","https://openalex.org/W4214903658","https://openalex.org/W4226177094","https://openalex.org/W4282542634","https://openalex.org/W4287829212","https://openalex.org/W4292678580","https://openalex.org/W4304593290","https://openalex.org/W4307472838","https://openalex.org/W4313009682","https://openalex.org/W4376139050","https://openalex.org/W4382240004","https://openalex.org/W4384338505","https://openalex.org/W4385346076","https://openalex.org/W4386076121","https://openalex.org/W4391752701","https://openalex.org/W6628877408","https://openalex.org/W6804889344","https://openalex.org/W6846204870","https://openalex.org/W6847964452","https://openalex.org/W6852040860"],"related_works":["https://openalex.org/W2317564093","https://openalex.org/W2367518817","https://openalex.org/W2517058087","https://openalex.org/W4299834831","https://openalex.org/W4387317288","https://openalex.org/W2366627961","https://openalex.org/W2305859635","https://openalex.org/W2377489352","https://openalex.org/W2502541559","https://openalex.org/W2319936300"],"abstract_inverted_index":{"Ginkgo":[0,8,14,51,158],"leaf":[1,15,52,159],"disease":[2,16,28,45,78,95,176,191],"poses":[3],"a":[4,43,55,131,162,182],"grave":[5],"threat":[6],"to":[7,31,99,161,168],"biloba.":[9],"The":[10,66,149],"current":[11],"management":[12,29],"of":[13,35,72,77,138,146,157],"lacks":[17],"precision":[18,25,173],"guidance":[19,26],"and":[20,30,60,120,140,174],"intelligent":[21,175],"technologies.":[22],"To":[23],"provide":[24,169],"for":[27,50,172,185],"evaluate":[32],"the":[33,36,39,87,100,113,121,155,186],"effectiveness":[34],"implemented":[37],"measures,":[38],"present":[40],"study":[41,180],"proposes":[42],"novel":[44,183],"progression":[46,96,156],"prediction":[47,92],"(DPP)":[48],"method":[49,69,89,105,110,151],"blight":[53,160],"with":[54],"multi-level":[56],"feature":[57,82],"translation":[58],"architecture":[59],"enhanced":[61],"spatiotemporal":[62,75,102],"attention":[63],"module":[64],"(eSTA).":[65],"proposed":[67,150],"DPP":[68,88],"is":[70,166],"capable":[71],"capturing":[73],"key":[74],"dependencies":[76],"symptoms":[79],"at":[80],"various":[81],"levels.":[83],"Experiments":[84],"demonstrated":[85],"that":[86],"achieves":[90],"state-of-the-art":[91],"performance":[93],"in":[94],"prediction.":[97,192],"Compared":[98],"top-performing":[101],"predictive":[103],"learning":[104],"(SimVP":[106],"+":[107],"TAU),":[108],"our":[109],"significantly":[111],"reduced":[112],"mean":[114,122],"absolute":[115],"error":[116,124],"(MAE)":[117],"by":[118,126],"19.95%":[119],"square":[123],"(MSE)":[125],"25.35%.":[127],"Moreover,":[128],"it":[129],"achieved":[130],"higher":[132],"structure":[133],"similarity":[134],"index":[135],"measure":[136],"(SSIM)":[137],"0.970":[139],"superior":[141],"peak":[142],"signal-to-noise":[143],"ratio":[144],"(PSNR)":[145],"37.746":[147],"dB.":[148],"can":[152],"accurately":[153],"forecast":[154],"large":[163],"extent,":[164],"which":[165],"expected":[167],"valuable":[170],"insights":[171],"management.":[177],"Additionally,":[178],"this":[179],"presents":[181],"perspective":[184],"extensive":[187],"research":[188],"on":[189],"plant":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
