Disease Classification using Machine Learning Algorithms

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9892

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DC Field	Value	Language
dc.contributor.author	Dubey, Nikunj	-
dc.contributor.author	Sidhu, Jagpreet Singh [Guided by]	-
dc.date.accessioned	2023-09-08T11:52:57Z	-
dc.date.available	2023-09-08T11:52:57Z	-
dc.date.issued	2023	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9892	-
dc.description	Enrolment No. 191313	en_US
dc.description.abstract	Potato is a significant harvest around the world, however it is inclined to different sicknesses that influence its yield and quality. Early discovery and ID of these illnesses are fundamental for compelling administration techniques to limit crop misfortunes. AI methods offer a promising methodology for exact and proficient finding of potato sicknesses. This paper expects to give an outline of late exploration on potato sickness grouping utilizing AI.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Disease classification	en_US
dc.subject	Machine learning algorithm	en_US
dc.subject	Artificial neural network	en_US
dc.subject	K-nearest neighbour	en_US
dc.title	Disease Classification using Machine Learning Algorithms	en_US
dc.type	Project Report	en_US
Appears in Collections:	B.Tech. Project Reports

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