{"id":"https://openalex.org/W2922385286","doi":"https://doi.org/10.5220/0007687608940899","title":"Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting","display_name":"Identification of Diseases in Corn Leaves using Convolutional Neural Networks and Boosting","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2922385286","doi":"https://doi.org/10.5220/0007687608940899","mag":"2922385286"},"language":"en","primary_location":{"id":"doi:10.5220/0007687608940899","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007687608940899","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007687608940899","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033122139","display_name":"Prakruti Bhatt","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Prakruti Bhatt","raw_affiliation_strings":["TCS Research and Innovation, Mumbai and India, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Mumbai and India, --- Select a Country ---","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004674807","display_name":"Sanat Sarangi","orcid":"https://orcid.org/0000-0002-1501-8719"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanat Sarangi","raw_affiliation_strings":["TCS Research and Innovation, Mumbai and India, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Mumbai and India, --- Select a Country ---","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021347014","display_name":"Anshul Shivhare","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anshul Shivhare","raw_affiliation_strings":["TCS Research and Innovation, Mumbai and India, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Mumbai and India, --- Select a Country ---","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077036929","display_name":"Dineshkumar Singh","orcid":"https://orcid.org/0000-0001-6548-6409"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dineshkumar Singh","raw_affiliation_strings":["TCS Research and Innovation, Mumbai and India, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Mumbai and India, --- Select a Country ---","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103866503","display_name":"Srinivasu Pappula","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinivasu Pappula","raw_affiliation_strings":["TCS Research and Innovation, Mumbai and India, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Mumbai and India, --- Select a Country ---","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033122139"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":5.8253,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95214592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"894","last_page":"899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9955000281333923,"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":0.9955000281333923,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7575410008430481},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7167590856552124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7021518349647522},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5569074749946594},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.538061261177063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5210475325584412},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46128836274147034},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.45218437910079956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4439389407634735},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.4403442144393921},{"id":"https://openalex.org/keywords/plant-disease","display_name":"Plant disease","score":0.43264853954315186},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.42411476373672485},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.2790932059288025},{"id":"https://openalex.org/keywords/biotechnology","display_name":"Biotechnology","score":0.1772143840789795},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1116829514503479},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10937899351119995}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7575410008430481},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7167590856552124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7021518349647522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5569074749946594},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.538061261177063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5210475325584412},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46128836274147034},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.45218437910079956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4439389407634735},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4403442144393921},{"id":"https://openalex.org/C3019235130","wikidata":"https://www.wikidata.org/wiki/Q188956","display_name":"Plant disease","level":2,"score":0.43264853954315186},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.42411476373672485},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2790932059288025},{"id":"https://openalex.org/C150903083","wikidata":"https://www.wikidata.org/wiki/Q7108","display_name":"Biotechnology","level":1,"score":0.1772143840789795},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1116829514503479},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10937899351119995}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007687608940899","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007687608940899","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007687608940899","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007687608940899","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4289703016","https://openalex.org/W3094138326","https://openalex.org/W4310224730"],"abstract_inverted_index":{"Precision":[0],"farming":[1],"technologies":[2],"are":[3,32],"essential":[4],"for":[5,12,142],"a":[6,23,27,94,154,177,196],"steady":[7],"supply":[8],"of":[9,30,41,90,107,171,191,211],"healthy":[10],"food":[11,110],"the":[13,17,108,159,215],"increasing":[14],"population":[15],"around":[16],"globe.":[18],"Pests":[19],"and":[20,26,66,77,117,179,229],"diseases":[21,65,122],"remain":[22],"major":[24,109],"threat":[25],"large":[28],"fraction":[29],"crops":[31,111],"lost":[33],"each":[34],"year":[35],"due":[36],"to":[37,51,62,100,131,147,158,183,242],"them.":[38],"Automated":[39],"detection":[40,128],"crop":[42,64,96],"health":[43,86],"from":[44,204],"images":[45,83,218],"helps":[46],"in":[47,84,112,181,213,237],"taking":[48],"timely":[49],"actions":[50],"increase":[52],"yield":[53],"while":[54],"helping":[55],"reduce":[56],"input":[57],"cost.":[58],"With":[59],"an":[60,189,209],"aim":[61,146],"detect":[63],"pests":[67],"with":[68,115,153,176,195],"high":[69],"confidence,":[70],"we":[71,145,206],"use":[72],"convolutional":[73],"neural":[74],"networks":[75],"(CNN)":[76],"boosting":[78,180],"techniques":[79],"on":[80,202],"Corn":[81,216],"leaf":[82,217],"different":[85,121,125,221],"states.":[87],"The":[88],"queen":[89],"cereals,":[91],"Corn,":[92],"is":[93,105,233],"versatile":[95],"that":[97,120],"has":[98],"adapted":[99],"various":[101],"climatic":[102],"conditions.":[103],"It":[104],"one":[106,160],"India":[113],"along":[114],"wheat":[116],"rice.":[118],"Considering":[119],"might":[123],"have":[124,139,168,207],"treatments,":[126],"incorrect":[127,132],"can":[129],"lead":[130],"remedial":[133],"measures.":[134],"Although":[135],"CNN":[136,172,243],"based":[137,173,199],"models":[138],"been":[140],"used":[141],"classification":[143,238],"tasks,":[144],"classify":[148],"similar":[149],"looking":[150],"disease":[151,186],"manifestations":[152],"higher":[155],"accuracy":[156,210],"compared":[157,241],"obtained":[161],"by":[162],"existing":[163],"deep":[164],"learning":[165],"methods.":[166],"We":[167],"evaluated":[169],"ensembles":[170],"image":[174],"features,":[175],"classifier":[178,200],"order":[182],"achieve":[184],"plant":[185],"classification.":[187],"Using":[188],"ensemble":[190],"Adaptive":[192],"Boosting":[193],"cascaded":[194],"decision":[197],"tree":[198],"trained":[201],"features":[203],"CNN,":[205],"achieved":[208],"98%":[212],"classifying":[214],"into":[219],"four":[220],"categories":[222],"viz.":[223],"Healthy,":[224],"Common":[225],"Rust,":[226],"Late":[227],"Blight":[228],"Leaf":[230],"Spot.":[231],"This":[232],"about":[234],"8%":[235],"improvement":[236],"performance":[239],"when":[240],"only.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}