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Home / programming language / Online Matlab Projects / A Survey on Diseases Detection and Classification of Cotton Leaf
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A Survey on Diseases Detection and Classification of Cotton Leaf

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SKU: PROJ8420 Categories: 2018-2019 Projects, Digital Image Processing Projects, Online Matlab Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Matlab Project, PHP Project, Students Projects
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A Survey on Diseases Detection and Classification of Cotton Leaf

Abstract-At the first place, agriculture is one of the demanded field of the country like India and also number of research is going on in agriculture among that found still limitation. Identification of plant disease is very difficult in agriculture field. If identification is incorrect then there is a huge loss on the production of crop and economical value of market. In this paper we survey of cotton leaf diseases detection and classification methods. First step to acquire the cotton leaf by using common digital camera. Second step apply the Image processing technique to remove noise and background of the leaf. Next extract the color, shape, and texture features of the leaf. Finally, at the end Apply these features to the classifier to classification of the diseases using Machine learning technique.

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