“PLANT DISEASE IDENTIFICATION USING CNN”

  • Mustafa Abdo Mohammed Al-Hammadi, Prof. Amol Ashok Bhilare
Keywords: NO KEYWORDS

Abstract

The major cause for the decrease in the quality and amount of agricultural productivity is plant diseases. Farmers encounter great difficulties in detecting and controlling plant diseases. Thus, it is of great importance to diagnose the plant diseases at early stages so that appropriate and timely action can be taken by the farmers to avoid further losses. The project focuses on the approach based on image processing for detection of diseases of plants.

The system has a set of algorithms which can identify the type of disease. Input image given by the user undergoes several processing steps to detect the disease and results are returned back to the user.

Identification of disease follows the steps loading the image, Pre- Processing, Segmentation, Extraction and Classification. And hence, here we have made it easy to detect diseases and the cures for the same using image processing.

Published
2021-07-02
How to Cite
Prof. Amol Ashok Bhilare, M. A. M. A.-H. (2021). “PLANT DISEASE IDENTIFICATION USING CNN”. Design Engineering, 1445- 1449. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/2444
Section
Articles