Drone-assisted automated plant diseases identification using spiking deep conventional neural learning

dc.contributor.author	Demir, Kubilay
dc.contributor.author	Tumen, Vedat
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.date.issued	2021
dc.identifier.issn	0921-7126
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9884
dc.identifier.uri	https://doi.org/10.3233/AIC-210009
dc.description.abstract	Detection and diagnosis of the plant diseases in the early stage significantly minimize yield losses. Image-based automated plant diseases identification (APDI) tools have started to been widely used in pest managements strategies. The current APDI system
dc.language.iso	English
dc.publisher	Ios Press
dc.source	Aı Communıcatıons
dc.title	Drone-assisted automated plant diseases identification using spiking deep conventional neural learning
dc.type	Article
dc.identifier.issue	2
dc.identifier.startpage	147
dc.identifier.endpage	162
dc.identifier.doi	10.3233/AIC-210009
dc.identifier.wos	WOS:000696198200002
dc.identifier.volume	34

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