Plant Disease Identification Using Image Processing

Main Article Content

Karishma Lakhani
Shruti Jadhav
Kavinmathy Thyagarajan
Dipika Harpale

Abstract

India is among top exporters of grapes. But due to the infected plant, quality and quantity of grapes is decreases. So early and accurate detection of disease is important to eliminate future loss. The project focuses on the approach based on image processing using machine learning for identification of plant diseases. In this paper, we would propose an web and android application that helps farmers for identifying plant diseases by uploading a leaf image of their to the system. The system uses a convolutional neural network algorithms which can identify the type of disease. The input image given by the user to the system undergoes various processing steps to detect the disease and results are returned back to the user via web or android application. It will also suggest the precautions and cures for the plant. We are also providing corresponding pesticide and nearby pesticide retailer

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How to Cite
Lakhani, K., Jadhav, S., Thyagarajan, K., & Harpale, D. (2020). Plant Disease Identification Using Image Processing. Multidisciplinary Journal of Research in Engineering and Technology, 7(3), 35–40. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/1201
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