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Leaf Disease Detection Using Image Processing

Author(s):

Kajal Sahu , Shrishankaracharya Group of Institutions; Shrikant Tiwari, Shrishankaracharya Group of Institutions; Snehalata Mandal, Shrishankaracharya Group of Institute

Keywords:

Image Processing, Leaf Disease, SVM, Matlab, Feature Extraction

Abstract

India is fast developing country and agriculture is the back bone for the countries development in the early stages. Due to industrialization and globalization concepts the field is facing hurdles. On top of that the awareness and the necessity of the cultivation need to be instilled in the minds of the younger generation. Now a day’s technology plays vital role in all the fields but till today we are using some old methodologies in agriculture. Identifying plant disease wrongly leads to huge loss of yield, time, money and quality of product. Identifying the condition of plant plays an important role for successful cultivation. In olden days identification is done manually by the experienced people but due to the so many environmental changes the prediction is becoming tough. So we can use image processing techniques for identification of plant disease. Generally we can observe the symptoms of disease on leafs, stems, flowers etc. so here we use leafs for identification of disease affected plants.

Other Details

Paper ID: IJSRDV8I60266
Published in: Volume : 8, Issue : 6
Publication Date: 01/09/2020
Page(s): 405-408

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