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Research Article

Plant Disease Detection Using CNN

Prof. Hitendra A.Chavan1Sayli Rajendra Bodare2Vighnesh Raju Jadhav3Gaurav Ganesh Moolya4

¹Assistant Professor, Information Technology, BVCOE/Mumbai University, India ²³⁴ B.E. Student, Information Technology, BVCOE/Mumbai University, India.

Published Online: March-April 2022

Pages: 229-234

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Abstract

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Abstract: Plant Disease Detection is very much important in agricultural field. Plant Disease Detection helps in early detection of diseases in crops and helps in developing the efficient crop yield. Without right knowledge and expertise it is difficult for farmers to do identification of plant diseases. Most of the farmers and the people who grow plants in houses, yards, etc. It is now easy to detect and diagnose the diseases in plants with the Deep Learning Technology. Deep Learning makes it to identify the plant disease and find the cure for the same by using camera for capturing images and applying several algorithms on them to get the several types of diseases in plants. This study includes the detection of multiple diseases in several varieties of plants. Convolution Neural Network is used for the detection of several plant diseases. An android application is made which take the input image from the user and displays the detected disease and the cure for that particular disease.

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