{"id":"https://openalex.org/W4200360840","doi":"https://doi.org/10.1080/00207543.2021.2009139","title":"Plant stress propagation detection and monitoring with disruption propagation network modelling and Bayesian network inference","display_name":"Plant stress propagation detection and monitoring with disruption propagation network modelling and Bayesian network inference","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4200360840","doi":"https://doi.org/10.1080/00207543.2021.2009139"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2021.2009139","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.2009139","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056137686","display_name":"Win P. V. Nguyen","orcid":"https://orcid.org/0000-0003-1644-0986"},"institutions":[{"id":"https://openalex.org/I4210156829","display_name":"Research Network (United States)","ror":"https://ror.org/04tgjxk96","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156829"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Win P. V. Nguyen","raw_affiliation_strings":["PRISM Global Research Network, and School of Industrial Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"PRISM Global Research Network, and School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219","https://openalex.org/I4210156829"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085588206","display_name":"Puwadol Oak Dusadeerungsikul","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I4210156829","display_name":"Research Network (United States)","ror":"https://ror.org/04tgjxk96","country_code":"US","type":"company","lineage":["https://openalex.org/I4210156829"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Puwadol Oak Dusadeerungsikul","raw_affiliation_strings":["PRISM Global Research Network, and School of Industrial Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"PRISM Global Research Network, and School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219","https://openalex.org/I4210156829"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079125727","display_name":"Shimon Y. Nof","orcid":"https://orcid.org/0000-0002-7717-9673"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shimon Y. Nof","raw_affiliation_strings":["PRISM Center and School of Industrial Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"PRISM Center and School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056137686"],"corresponding_institution_ids":["https://openalex.org/I219193219","https://openalex.org/I4210156829"],"apc_list":null,"apc_paid":null,"fwci":1.3131,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83767949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"60","issue":"2","first_page":"723","last_page":"741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9980000257492065,"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":0.9980000257492065,"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/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.9876000285148621,"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/T10702","display_name":"Insect and Arachnid Ecology and Behavior","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.7104486227035522},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5337707996368408},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.48358386754989624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47713136672973633},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.41447341442108154},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3719799518585205},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.35119330883026123},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34214234352111816},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33470115065574646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3265245258808136},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07846486568450928}],"concepts":[{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.7104486227035522},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5337707996368408},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.48358386754989624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47713136672973633},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41447341442108154},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3719799518585205},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35119330883026123},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34214234352111816},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33470115065574646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3265245258808136},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07846486568450928},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"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:10.1080/00207543.2021.2009139","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.2009139","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:60:y:2022:i:2:p:723-741","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2021.2009139","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G2735884833","display_name":null,"funder_award_id":"IS-4886-16R","funder_id":"https://openalex.org/F4320308883","funder_display_name":"United States - Israel Binational Agricultural Research and Development Fund"},{"id":"https://openalex.org/G6397312346","display_name":null,"funder_award_id":"1839971","funder_id":"https://openalex.org/F4320337408","funder_display_name":"Division of Undergraduate Education"}],"funders":[{"id":"https://openalex.org/F4320308883","display_name":"United States - Israel Binational Agricultural Research and Development Fund","ror":"https://ror.org/04e98j339"},{"id":"https://openalex.org/F4320337408","display_name":"Division of Undergraduate Education","ror":"https://ror.org/02kd4km72"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1525257406","https://openalex.org/W1584169088","https://openalex.org/W1983517900","https://openalex.org/W1983937981","https://openalex.org/W1983953905","https://openalex.org/W1985848079","https://openalex.org/W1987891883","https://openalex.org/W1993546116","https://openalex.org/W2008694063","https://openalex.org/W2010220362","https://openalex.org/W2016937120","https://openalex.org/W2021496016","https://openalex.org/W2026021064","https://openalex.org/W2040049238","https://openalex.org/W2041335438","https://openalex.org/W2043093714","https://openalex.org/W2048368939","https://openalex.org/W2049143625","https://openalex.org/W2051309309","https://openalex.org/W2055178235","https://openalex.org/W2058195997","https://openalex.org/W2087620062","https://openalex.org/W2088514034","https://openalex.org/W2093020519","https://openalex.org/W2099838915","https://openalex.org/W2113760183","https://openalex.org/W2149655525","https://openalex.org/W2156094048","https://openalex.org/W2169768163","https://openalex.org/W2171010169","https://openalex.org/W2341222387","https://openalex.org/W2342655591","https://openalex.org/W2346328020","https://openalex.org/W2408922273","https://openalex.org/W2472944192","https://openalex.org/W2494665923","https://openalex.org/W2549609427","https://openalex.org/W2803272978","https://openalex.org/W2884963893","https://openalex.org/W2885511790","https://openalex.org/W2886555888","https://openalex.org/W2903089009","https://openalex.org/W2905057569","https://openalex.org/W2950836693","https://openalex.org/W2961306323","https://openalex.org/W2963935416","https://openalex.org/W2982381523","https://openalex.org/W2996082862","https://openalex.org/W3008776764","https://openalex.org/W3021327782","https://openalex.org/W3041786766","https://openalex.org/W3146831509","https://openalex.org/W3201444869","https://openalex.org/W4233315294","https://openalex.org/W4254260317","https://openalex.org/W6964067076"],"related_works":["https://openalex.org/W2753218748","https://openalex.org/W2774409638","https://openalex.org/W4231471330","https://openalex.org/W2889562828","https://openalex.org/W2789413038","https://openalex.org/W3207575386","https://openalex.org/W2511279186","https://openalex.org/W2963058055","https://openalex.org/W4286903091","https://openalex.org/W2114746372"],"abstract_inverted_index":{"Plant":[0,40],"stresses":[1,14,60,192],"and":[2,10,15,19,84,94,109,128,140,146,193],"diseases":[3,16],"cause":[4],"major":[5],"losses":[6],"to":[7,21,58],"agricultural":[8,164],"productivity":[9],"quality.":[11],"Left":[12],"unchecked,":[13],"can":[17],"spread":[18],"propagate":[20],"nearby":[22],"plants,":[23],"causing":[24],"even":[25],"more":[26],"damage,":[27],"necessitating":[28],"early":[29],"detection.":[30,151],"To":[31],"address":[32],"this":[33,48,112],"challenge,":[34],"the":[35,51,80,96,173],"Agricultural":[36],"Robotic":[37],"System":[38],"for":[39],"Stress":[41],"Propagation":[42],"Detection":[43],"(ARS/PSPD)":[44],"is":[45,71],"developed.":[46],"In":[47],"cyber-physical":[49],"system,":[50],"robot":[52],"agents":[53],"are":[54,107,158],"assigned":[55],"scanning":[56,101,105,136,143,156,174],"tasks":[57],"detect":[59],"in":[61,111,142,184],"greenhouse":[62],"plants.":[63],"The":[64,87,135,152,169],"problem":[65],"of":[66,98],"plant":[67,81,149,191],"stress":[68,82,150],"propagation":[69,75,85,125],"detection":[70],"formulated":[72],"with":[73,114,160,187],"disruption":[74,124],"network":[76,88,126,133,178],"modelling,":[77],"which":[78],"captures":[79],"occurrence":[83],"mechanisms.":[86],"modelling":[89],"enables":[90],"better":[91,148],"situation":[92],"awareness":[93],"augments":[95],"development":[97],"advanced":[99],"collaborative":[100,104,155],"protocols.":[102],"Five":[103],"protocols":[106,122,137,157,183],"designed":[108],"implemented":[110],"research,":[113],"one":[115,129],"protocol":[116,130,175],"serving":[117],"as":[118,166],"a":[119],"baseline,":[120],"three":[121],"utilising":[123,131],"analysis,":[127],"Bayesian":[132,177],"inference.":[134],"minimise":[138],"errors":[139],"conflicts":[141],"task":[144],"allocation":[145],"enable":[147],"five":[153],"ARS/PSPD":[154],"validated":[159],"numerical":[161],"experiments,":[162],"using":[163,176],"greenhouses":[165],"experiment":[167],"settings.":[168],"experiments":[170],"show":[171],"that":[172],"inference":[179],"outperforms":[180],"all":[181,185],"other":[182],"scenarios,":[186],"16.92%":[188],"fewer":[189,195],"undetected":[190],"12.28%":[194],"redundant":[196],"scans.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
