{"id":"https://openalex.org/W4200026269","doi":"https://doi.org/10.1109/dicta52665.2021.9647066","title":"IoT-based Plant Health Analysis using Optical Sensors in Precision Agriculture","display_name":"IoT-based Plant Health Analysis using Optical Sensors in Precision Agriculture","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200026269","doi":"https://doi.org/10.1109/dicta52665.2021.9647066"},"language":"en","primary_location":{"id":"doi:10.1109/dicta52665.2021.9647066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta52665.2021.9647066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085091701","display_name":"Hamid Bagha","orcid":"https://orcid.org/0000-0003-1403-4554"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hamid Bagha","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077823084","display_name":"Ali Yavari","orcid":"https://orcid.org/0000-0002-0588-5931"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ali Yavari","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043216071","display_name":"Dimitrios Georgakopoulos","orcid":"https://orcid.org/0000-0001-7880-2140"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dimitrios Georgakopoulos","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57093077"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"08"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9987000226974487,"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":0.9987000226974487,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9979000091552734,"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":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.8071175813674927},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.781799852848053},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6099839210510254},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6009600162506104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5440773367881775},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39399147033691406},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3879772126674652},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.35924232006073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27869677543640137},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22439023852348328},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15835019946098328}],"concepts":[{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.8071175813674927},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.781799852848053},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6099839210510254},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6009600162506104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440773367881775},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39399147033691406},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3879772126674652},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.35924232006073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27869677543640137},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22439023852348328},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15835019946098328},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta52665.2021.9647066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta52665.2021.9647066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1645840676","https://openalex.org/W1696827118","https://openalex.org/W1963825124","https://openalex.org/W1998660187","https://openalex.org/W2063155154","https://openalex.org/W2076532457","https://openalex.org/W2103959917","https://openalex.org/W2332916969","https://openalex.org/W2491477437","https://openalex.org/W2517633426","https://openalex.org/W2528215143","https://openalex.org/W2555963176","https://openalex.org/W2612844455","https://openalex.org/W2773541040","https://openalex.org/W2901813464","https://openalex.org/W2906706532","https://openalex.org/W2962399634","https://openalex.org/W2971480543","https://openalex.org/W2971734757","https://openalex.org/W3003262233","https://openalex.org/W3010585411"],"related_works":["https://openalex.org/W2792279927","https://openalex.org/W4385497869","https://openalex.org/W283587633","https://openalex.org/W2382920002","https://openalex.org/W1551473783","https://openalex.org/W2912977869","https://openalex.org/W2170509036","https://openalex.org/W3195856620","https://openalex.org/W2622264455","https://openalex.org/W3209610942"],"abstract_inverted_index":{"To":[0,55],"support":[1],"the":[2,14,57,83,90,134,140,187,192,199,219,224,230,245],"current":[3],"population":[4],"growth,":[5],"modern":[6],"agriculture":[7,26],"must":[8],"increase":[9],"food":[10],"production":[11],"while":[12],"reducing":[13],"use":[15],"of":[16,35,85,92,198,223],"water":[17],"and":[18,45,52,60,72,77,88,108,125,148,158,162,195,205,221,235,243,247],"other":[19],"resources":[20],"required":[21],"for":[22,104,178,250],"crop":[23],"cultivation.":[24],"Precision":[25],"(PA)":[27],"aims":[28],"to":[29,132,155,174,185,217,240],"achieve":[30],"these":[31],"via":[32],"a":[33,166,176],"variety":[34,215],"methods":[36],"that":[37,62,110,190],"include":[38],"site-specific":[39,50],"plant":[40,58,121,180,188,200,214],"selection,":[41],"variable":[42],"rate":[43],"irrigation":[44],"fertilisation,":[46],"as":[47,49,186],"well":[48],"pesticide":[51],"herbicide":[53],"application.":[54],"determine":[56,218],"performance":[59,220],"health":[61,147,207,222],"drive":[63],"such":[64,113,130,213],"precision":[65],"PA":[66,68,114,136],"practices,":[67],"solutions":[69,103],"currently":[70],"collect":[71],"analyse":[73,244],"data":[74,164,170,249],"from":[75,123,152],"cameras":[76],"multispectral":[78],"sensors.":[79],"Technological":[80],"advancements":[81],"in":[82,89,97,165],"Internet":[84],"Things":[86],"(IoT)":[87],"development":[91],"Unmanned":[93],"Aerial":[94],"Vehicles":[95],"(UAV)":[96],"recent":[98],"years":[99],"have":[100],"provided":[101],"potential":[102],"automating":[105],"image":[106],"acquisition":[107],"analysis":[109],"can":[111,237],"advance":[112],"practices.":[115,137],"This":[116],"paper":[117,141,210,231],"proposes":[118,211],"1)":[119],"devising":[120],"models":[122,131],"RGB":[124,161],"multi-spectral":[126,163,248],"data,":[127],"2)":[128],"using":[129,212],"guide":[133],"above":[135],"More":[138],"specifically,":[139],"explores":[142],"monitoring":[143],"plants":[144,225],"at":[145],"different":[146],"life":[149,203],"cycle":[150,204],"stages":[151],"fully":[153],"green":[154],"completely":[156],"dry":[157],"capturing":[159],"related":[160,206],"controlled":[167],"environment.":[168],"These":[169],"are":[171],"then":[172],"analysed":[173],"create":[175],"model":[177],"each":[179],"variety,":[181],"which":[182],"we":[183],"refer":[184],"profile,":[189],"captures":[191],"combined":[193],"colour":[194],"light":[196],"reflectance":[197],"over":[201],"its":[202],"stages.":[208],"The":[209],"profiles":[216],"across":[226],"entire":[227],"crops.":[228],"Finally,":[229],"discusses":[232],"how":[233],"UAVs":[234],"IoT":[236],"be":[238],"used":[239],"automatically":[241],"capture":[242],"images":[246],"advancing":[251],"PA.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
