{"id":"https://openalex.org/W4388937106","doi":"https://doi.org/10.1109/icccnt56998.2023.10307170","title":"Plant Pathology Detection for Massive Heterogeneous Data Using Deep Learning","display_name":"Plant Pathology Detection for Massive Heterogeneous Data Using Deep Learning","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937106","doi":"https://doi.org/10.1109/icccnt56998.2023.10307170"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307170","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5007340555","display_name":"Avinash Chaudhari","orcid":"https://orcid.org/0009-0000-7246-9279"},"institutions":[{"id":"https://openalex.org/I29563240","display_name":"Gujarat Technological University","ror":"https://ror.org/059x8vm09","country_code":"IN","type":"education","lineage":["https://openalex.org/I29563240"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avinash Chaudhari","raw_affiliation_strings":["Modasa Gujarat Technological University,Government Engineering College,Information Technology Department,Modasa,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Modasa Gujarat Technological University,Government Engineering College,Information Technology Department,Modasa,India","institution_ids":["https://openalex.org/I29563240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011062320","display_name":"Kuntesh Jani","orcid":"https://orcid.org/0000-0001-7225-1878"},"institutions":[{"id":"https://openalex.org/I29563240","display_name":"Gujarat Technological University","ror":"https://ror.org/059x8vm09","country_code":"IN","type":"education","lineage":["https://openalex.org/I29563240"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kuntesh Jani","raw_affiliation_strings":["Gujarat Technological University,L.D. College of Engineering,Information Technology Department,Ahmedabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gujarat Technological University,L.D. College of Engineering,Information Technology Department,Ahmedabad,India","institution_ids":["https://openalex.org/I29563240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103730297","display_name":"Sunil Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I29563240","display_name":"Gujarat Technological University","ror":"https://ror.org/059x8vm09","country_code":"IN","type":"education","lineage":["https://openalex.org/I29563240"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunil Patel","raw_affiliation_strings":["Gujarat Technological University,L.D. College of Engineering,Computer Engineering Department,Ahmedabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gujarat Technological University,L.D. College of Engineering,Computer Engineering Department,Ahmedabad,India","institution_ids":["https://openalex.org/I29563240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I29563240"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19825955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998000264167786,"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":0.9998000264167786,"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/T12660","display_name":"Plant Disease Management Techniques","score":0.9577999711036682,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9545000195503235,"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/computer-science","display_name":"Computer science","score":0.7781409621238708},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7387445569038391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.724002480506897},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5517803430557251},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5432161092758179},{"id":"https://openalex.org/keywords/plant-disease","display_name":"Plant disease","score":0.5295976996421814},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48005685210227966},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.44844797253608704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4459265470504761},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43059810996055603},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4225497841835022},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2989504933357239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06834915280342102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781409621238708},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7387445569038391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.724002480506897},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5517803430557251},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5432161092758179},{"id":"https://openalex.org/C3019235130","wikidata":"https://www.wikidata.org/wiki/Q188956","display_name":"Plant disease","level":2,"score":0.5295976996421814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48005685210227966},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.44844797253608704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4459265470504761},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43059810996055603},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4225497841835022},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2989504933357239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06834915280342102},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307170","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2057106128","https://openalex.org/W2090813402","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2280764670","https://openalex.org/W2736026939","https://openalex.org/W2750506686","https://openalex.org/W2805267014","https://openalex.org/W2911433502","https://openalex.org/W2963163009","https://openalex.org/W2965088510","https://openalex.org/W2966761777","https://openalex.org/W2969364300","https://openalex.org/W2989646980","https://openalex.org/W3015562698","https://openalex.org/W3088127670","https://openalex.org/W3088685598","https://openalex.org/W3102214643","https://openalex.org/W3106505022","https://openalex.org/W3195199539","https://openalex.org/W3202844853","https://openalex.org/W4205208936","https://openalex.org/W4214770513","https://openalex.org/W4221106578","https://openalex.org/W4224984518","https://openalex.org/W4226455158","https://openalex.org/W4226546757","https://openalex.org/W4285226619","https://openalex.org/W4289654251","https://openalex.org/W4293191881","https://openalex.org/W6695302703","https://openalex.org/W6766766266","https://openalex.org/W6766845704","https://openalex.org/W6802195609","https://openalex.org/W6925185944","https://openalex.org/W6925252096"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W2795259429","https://openalex.org/W3000197790","https://openalex.org/W4212797925"],"abstract_inverted_index":{"The":[0],"manual":[1],"inspection":[2],"of":[3,18,45,72,93,108,132],"plant":[4,19,68],"disease":[5,49],"is":[6,22,96],"a":[7,90],"difficult":[8],"and":[9,114],"time-consuming":[10],"task":[11],"that":[12],"requires":[13],"expertise":[14],"in":[15,33,42,58],"the":[16,43,67,73,123,128],"area":[17],"pathology":[20],"which":[21],"not":[23],"always":[24],"available.":[25],"Deep":[26],"learning":[27,54],"models":[28,55],"have":[29,75],"shown":[30],"significant":[31],"efficiency":[32],"solving":[34],"image":[35],"classification":[36,130],"problems.":[37],"They":[38],"can":[39],"be":[40],"used":[41,57],"field":[44],"precision":[46],"agriculture":[47],"for":[48],"management":[50],"tasks.":[51],"State-of-the-art":[52],"deep":[53],"are":[56],"several":[59],"studies":[60,74],"to":[61,140],"automatically":[62],"detect":[63],"diseases":[64],"based":[65],"on":[66,79],"leaves":[69],"symptoms.":[70],"Most":[71],"been":[76,117],"carried":[77,118],"out":[78,119],"single":[80],"or":[81],"limited":[82],"plants.":[83],"In":[84],"this":[85],"study":[86],"large":[87],"dataset":[88],"having":[89],"total":[91],"number":[92],"1,02,113":[94],"images":[95],"created":[97],"by":[98],"combining":[99],"16":[100],"openly":[101],"available":[102],"datasets.":[103],"A":[104],"comparative":[105],"performance":[106],"analysis":[107],"three":[109],"CNN":[110],"models,":[111],"ResNet50,":[112],"MobileNetV2,":[113],"InceptionV3":[115,125],"has":[116,126,135],"after":[120],"training":[121,137],"with":[122],"dataset.":[124],"achieved":[127],"highest":[129],"accuracy":[131],"0.90.":[133],"MobileNetV2":[134],"less":[136],"time":[138],"compared":[139],"others.":[141]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
