Early Plant Disease Detection And Recommendation Using Ml Cnn

58 pages ID: CPE0062

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Project Details

DepartmentComputer Engineering
TypeProject
Pages58
Reference StyleYES
FormatMS Word & PDF
Reference No.CPE0062

Abstract

Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. Almost 70% people depend on it & shares major part of the GDP. Diseases in crops mostly on the leaves effects on the reduction of both quality and quantity of agricultural products. Perception of human eye is not so much stronger so as to observe minute variation in the infected part of leaf. In this paper, we are providing software solution to automatically detect and classify plant leaf diseases. In this we are using image processing techniques to classify diseases …

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₦ 5,000 $(29)
Pages58
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