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International Journal Of Electrical, Electronics And Computers(IJEEC)

Smart Plant Disease Detection System

Bhoopendra Joshi , Abhinav Kumar , Satyam Kashyap , Nooruddin Nagdi , Sukhdarshan Vinayak , Dinesh Verma


International Journal of Electrical, Electronics and Computers (IJECC), Vol-6,Issue-4, July - August 2021, Pages 13-16, 10.22161/eec.64.4

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Article Info: Received: 15 Jun 2021; Accepted: 03 Jul 2021; Date of Publication: 09 Jul 2021

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Food is one of the basic needs of human being. Population is increasing day by day. So, it has become important to grow sufficient amount of crops to feed such a huge population. Agricultural intervention in the livelihood of rural India is about 58%. But with the time passing by, plants are being affected with many kinds of diseases, which cause great harm to the agricultural plant productions. It is very difficult to monitor the plant diseases. It requires tremendous amount of work, expertise in the plant diseases, and also require the excessive processing speed and time. Hence, image processing is used for the detection of plant diseases by just capturing the images of the leaves and comparing it with the data sets available. Latest and fostering technologies like Image processing is used to rectify such issues very effectively. In this project, four consecutive stages are used to discover the type of disease. The four stages include pre-processing, leaf segmentation, feature extraction and classification. This paper aims to support and help the farmers in an efficient way.

CNN Algorithm, Disease Detection.

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